Science topics: Methodology
Science method

Methodology - Science method

Methodology are emergent methodologies in soft and hard sciences
Questions related to Methodology
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Researchers may have varying opinions on building research models due to methodologies and objectives; therefore, which are the best steps we can employ to achieve a suitable research model?
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If you are doing quantitative work, then you should have a set of research questions that specify your independent and dependent variables. If so, that is the place to start. If some of your variables are scales, then you will need to assess their reliability before you build your model.
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what is the difference between objective methodology and subjective methodology?
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Objective methodology relies on literature, after an empirical review of literature, a researcher could work based on information gathered. Subjective is based on a researher's personal judgement or opinion in anticipation that the method works fine for the study. However, this depends on the nature of the study being carried out.
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I needed a detailed methodology for SEM-EDS analysis for Leaf and pollen!
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I defer to Gerhard Martens on that. White papers from instrument vendors are a good source of information. They may not be peer reviewed, per se, but you have a lot of experts in their fields putting forth their best information.
I know you will have to deal with changes in the biological material due to its water content. You will need to replace the water somehow.
If you are looking at dust particles, you probably want to use backscattered electron imaging so the dust particles stand out clearly from their organic background. You might be able to use feature analysis to automate the analysis process. Be careful of the statistics.
That was a career ago when I was doing automated image analysis of mineral matter in coal. You can look up my dissertation and papers.
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To conduct a bibliometric analysis for a review paper in economic or social science, it is crucial to select the appropriate structure to address the research question. Among the available options, determining the more accurate research framework or conceptual framework is essential for achieving the desired results.
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In bibliometric analysis, the choice between using a research framework and a conceptual framework largely depends on the objectives of the study and the nature of the data being analyzed. Here's a general guideline to help decide which might be more suitable for a review paper in economics or social science:
Research Framework: A research framework in bibliometric analysis typically involves a structured, systematic approach to collect, analyze, and present data. This framework is often quantitative, focused on measurable data derived from publications, citations, and other quantifiable metrics. It is especially useful when the goal is to assess trends, patterns, and networks within a large body of literature. This type of framework might include:
  • Identifying the volume of publications over time.
  • Analyzing citation networks to understand the influence and connectivity among researchers.
  • Mapping key topics and their evolution through keyword analysis.
Conceptual Framework: A conceptual framework, on the other hand, is more qualitative and interpretative. It focuses on understanding the theories, themes, and concepts that emerge from bibliometric data. This approach is suitable when the aim is to contextualize the findings within broader theoretical constructs or to explore the implications of empirical data on existing theories. In bibliometric studies, this might involve:
  • Interpreting the significance of emerging trends in literature.
  • Relating the development of research themes to broader social or economic theories.
  • Exploring the impact of scholarly work on policy-making or academic discourse.
Choosing the Suitable Framework:
  • Objective Alignment: Consider what you aim to achieve with your bibliometric analysis. If the purpose is to objectively measure and map out the landscape of research, a research framework is more appropriate. If the goal is to understand the implications of data or to build upon theoretical aspects, a conceptual framework would be more fitting.
  • Nature of the Subject Area: In fields where theory development is crucial, such as in many social sciences, a conceptual framework can provide deeper insights. In more empirically driven fields like economics, a research framework might provide more actionable information.
For a review paper in economics or social science, it's often valuable to start with a research framework to gather and analyze data systematically. Subsequently, a conceptual framework can be employed to interpret these findings within the context of existing theories and discussions. This dual approach allows for a comprehensive analysis that is both grounded in empirical data and enriched by theoretical insights.
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Hi! Plz answer
What are needs of Research in English language and literature? What are the methodologies for that?
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However, Research methodologies in English language and literature encompass a broad spectrum of approaches aimed at understanding and interpreting texts within their cultural, historical, and linguistic contexts. Literary analysis involves close examination of textual elements, while historical research delves into the socio-cultural milieu surrounding literary works. Theoretical frameworks from various schools of thought provide lenses through which scholars interpret and critique texts, while quantitative and qualitative methods offer tools for analyzing language use and reader responses. Comparative literature expands perspectives by examining connections between diverse literary traditions, and digital humanities methodologies leverage technology to explore texts in innovative ways. Together, these methodologies contribute to a nuanced understanding of literature's significance and impact across time and cultures.
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Hi,
Planning to conduct a few case studies among diabetes participants.
Is there any methodology available for the same?
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We have only one randomized placebo-controlled trial dedicated to study of the the hard endpoints: Ivabradine and outcomes in chronic heart failure (SHIFT.) There were some positive effect in comparison with placebo when ivabradine was added on the top of RAAS blockers and b-blockers. Currently there are no comparative study and in my opinion nobody will give a cent for future investigation because the negative or neutral result in coronary artery disease.
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I came to know that Hank (Heterogeneous Agents New Keynesian) models are now in fashion. I skipped two papers on Hank. Those economists who work in Hank boast that this and that that were impossible in Rank (Representative Agent New Keynesian) models became possible. They may be right with this regards.
I have a question. What are the problems that are common to Hank and Rank models?
For example, Rank and Hank both assume the validity of central bank interest rate policy. In the case of Japanese economy, it was not very effective for about 30 years. The very validity of interest rate policy is questioned. Then, I want to know if there are good empirical works that estimated the dimension of peoples’ reaction (in the economy as a whole) to the change of interest rate, especially when the interest rate is very low (or nearly zero).
Is there any paper that argued the trouble with Hank and Rank models in common?
Is there any paper that pointed out the fact that undermines the Hank and Rank models?
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Dear Anton,
Maistream has a "good" tactics to change their topic every 10 to 20 years. IN this way, all young economists were obliged to follow what is happening there. Only a few convinced mavericks can resist this temptation. In this way, majority of young hopeful economists are attracted to the gravity field of mainstream economics.
RANK, HANK, and TANK are new brands (not so glorious as DSGE or RBC but attractive enough to draw attention of many naive young economists). That is why I am interested in those "new" trends.
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I am doing some research in terms of Integrated Management Systems. And this topic is relevant in the research.
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Besides TOGAF, other methodologies for aligning Business Architecture with Information Systems include Zachman Framework, Business Process Model and Notation (BPMN), and The Open Group IT4IT Reference Architecture.
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The Sysmex DI-60 is a machine found in labs that counts blood cells and checks other blood details. It helps doctors diagnose and keep track of health conditions by giving accurate results
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The Sysmex DI-60 is a hematology analyzer used for the analysis of blood samples. It employs several methodologies to analyze blood samples, each contributing to its accuracy and reliability:
  1. Impedance Method: This method measures changes in electrical impedance as blood cells pass through an aperture. By analyzing the magnitude and shape of the impedance pulses, the analyzer can differentiate between different types of blood cells (e.g., red blood cells, white blood cells, and platelets). The impedance method is particularly useful for cell counting and sizing.
  2. Optical Scatter Method: This method involves shining a laser or light source onto blood cells and analyzing the scattered light patterns. Different cell types scatter light in characteristic ways, allowing the analyzer to identify and quantify them. The optical scatter method is effective for distinguishing between various cell types based on their morphology and internal structure.
  3. Fluorescence Flow Cytometry: This method utilizes fluorescent dyes that selectively bind to specific cellular components, such as DNA, RNA, or surface markers. By measuring the fluorescence emitted by stained cells as they pass through a flow cell, the analyzer can provide information about cell populations, cellular function, and abnormal cell characteristics.
  4. Hemoglobinometry: This method measures the concentration of hemoglobin in blood samples, typically using cyanide-free reagents that react with hemoglobin to produce a colorimetric change. By quantifying the amount of light absorbed or transmitted by the hemoglobin solution, the analyzer can determine hemoglobin levels accurately.
These methodologies work synergistically to provide comprehensive information about blood cell counts, morphology, and hemoglobin levels. By combining multiple analytical techniques, the Sysmex DI-60 can enhance the accuracy, reliability, and efficiency of blood sample analysis, leading to more precise diagnostic results and improved patient care. Additionally, advanced algorithms and quality control mechanisms further contribute to the analyzer's performance by minimizing errors and ensuring consistency in results.
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Hello folks. I've just received a request to review for "Methodology", which is part of the PsychOpen GOLD publishing platform, apparently. I've never heard of either, so I'm wondering if anyone can advise me on how legitimate (or not) the platform is.
Thanks,
Bruce
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I think this is fine - its affiliated with Leibniz Institute of Technology and there's some well known names who have published there:
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I am working on Discussion chapter of my PhD thesis. My research is a phenomenological. I made a rich literature review on the phenomena (about 40 pages). However, in my discussion, when I build a dialogue between my findings and the literature, I find that some other good scholarly works can be introduced in the discussion. I am afraid if this is methodologically okay. I am thankful if someone could clarify this and provide a good reference if it is justifiable. Thank you.
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Yes, you are free to use whatever gives strength to the core argument of your discussions in the chapter. However, you must be careful not to use something redundantly.
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Hello, I am currently conducting my undergraduate dissertation on exploring how Primary school teachers interpret 'disruptive' behaviour.
My main objectives are:
1) What do teachers define as disruptive behaviour?
2) What do they attribute disruptive behaviour to?
I have already conducted my research in a school setting, using Interpretive Phenomenology as my methodology and semi-structured interviews as my method. I interviewed 11 teachers and my questioned aligned with the chosen methodology - focusing on their experiences.
I have transcribed all of my data and am now ready to proceed with analysing it.
However, I'm a bit stuck! As a complete beginner I am only confidently familiar with thematic analysis. I've had a look at using IPA seems as it would completely align with my methodology, but there are a lot more steps to it. I am of course willing to complete said steps, but I am also conscious that my whole dissertation is only 8000 words, so I have that to take into account.
Also, I do need to find similarities and differences across the data set as a whole.
So, if anyone can give me any guidance, it would be appreciated!
Finally, am I 'allowed' to use a different method of analysis- such as thematic analysis when I have conducted IP as my methodology?
If so, and I do go with thematic analysis, would that mean that it was then not worthwhile me doing IP as my methodology?
So many questions! Please note, I am only an undergraduate student (level 6) so I am still very much learning. Thank you!
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Thank you for your reply and advice, David!
I've had a look at Inductive Thematic Analysis. I'm thinking this may work well, under an IP framework 🤔
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model
methodology
analysis
inputs
out puts and other related issue
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Simply, no. Pesticides comprise a very wide range of compounds, applied in many different forms and concentrations in many different places. Human exposure includes additional factors which increase the complexity of assessing a general "risk assessment". You will need to narrow the scope considerably in terms of a specific pesticide and population to attempt such a survey.
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DOES THE WORLD HAVE A CLEARLY HOLISTIC FUTURE IN SCIENCE, SOCIETY, POLITICS AND PHILOSOPHY?
The world is used to thinking in terms of emotions and thoughts. But the stark difference between acts of emotion and acts of thought at the theoretical and practical levels can be bridged. The reason suggested is the following.
EVEN IF THERE IS NO ABSOLUTE CONTINUITY AND CONNECTION BETWEEN EACH ACT OF THOUGHT AND EACH ACT OF EMOTION, THERE EXISTS PARTIAL CONTINUITY BETWEEN ANY FINITE NUMBER OF SUCH PROCESSES, AND HENCE, ALL OF THEM ARE SOMEHOW CONNECTED. THIS CONNECTION IS CAUSAL, AND NOT MERELY MATHEMATICAL OR QUANTUM-PHYSICAL.
As a result, even esthetic acts can be connected to the acts of thinking in the sciences, philosophy, literature, music, etc., both theoretically and practically. Neuroscience too can profit out of this paradigm change.
Further, when emotions, imaginations, reasonings, etc. are brought under the ambit of acts of logical reasoning, what would change in the theoretical acts of logical conclusions in the sciences, philosophy, literature, and other disciplines?
Naturally, also the character of the persons who are supposed to express thoughts, emotions, etc. in various ways for the good of humankind will take precedence. This is what value epistemology insists on.
As a result, the personalities behind and within the sciences, philosophy, literature, music, other performing arts, and also in the fields of teaching and other services, will be influenced and transformed substantially.
DOES THE WORLD HAVE SUCH A FUTURE? IF IT HAS, IT IS BETTER TO PRECIPITATE SUCH A FUTURE.
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I am verifying a methodology for power system reinforcement. I want to test it in Power Factory, but I can't find the IEEE 30 bus system.
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I am verifying a methodology for power system reinforcement. I want to test it in Power Factory but can't find the IEEE 30 bus system. Do you have this power system in power factory?
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I am writing an article for my final thesis, the title of which is "Virtual Reality and Augmented Reality in Destination Marketing - Insights from Singapore Tourism Board and Strategies for Promoting Tourism in Vietnam". Could you suggest the Theoretical Framework and Methodology I should use for this article? Thank you so much!
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To find relevant theories and models, I suggest reviewing articles in top journals such as the "Journal of Travel & Tourism Marketing," "Tourism Management," "Journal of Destination Marketing & Management." , "Technology in Society". These publications often explore the cutting edge of technology use in tourism and could provide comprehensive insights into applicable theories.
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Greetings, What are the most difficult challenges you have when you make an article from the following:
  1. paper structure
  2. Title (Subject)
  3. problem statement
  4. Introduction
  5. State of Art (Related Work)
  6. Methodology
  7. results
  8. conclusion and discussion
  9. References
  10. Publication
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Structure and methodology
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I am struggling to get my work on Fermat's last theorem peer reviewed as it appears to be too simplistic/ not relevant to the mathematical journals I have so far contacted. However, being biased I think it's at least worthy of logical consideration and would appreciate any advice to this end.
For reference:
Abstract
This investigation assumed Fermat’s conjecture to be incorrect, i.e. that his equation has a whole number solution to enable consideration of the rationality of the equation’s terms by constructing a 1st triangle with sides representing the whole number, i.e. rational digits, a, b and c, with perpendicular divisors, h1, h2 andh3, and a 2nd, ‘similar triangle’, (with identical angles) but two sides representing divisors h1, and h2. Logical analysis then showed that the perpendicular divisors are also rational digits. Hence the two right angle triangles formed by the divisor, h1, in the 1st triangle can be analysed as Pythagorean Triples since all 3 sides of each triangle being rational can be represented as a fraction p/q of two integers, as long as the denominator q is not equal to zero. Thus, by appropriate multiplication of a combination of all their denominators the sides of the two right angled triangles can be transformed into integers of a larger, scaled triangle, with the same mathematical properties as the original.
This was further interrogated by the use of a Mathcad computer program to determine a Difference Ratio, DR, based on variations between the trigonometric functions calculated as per Fermat’s equation and those as Pythagorean Triples. It was seen, as expected, that both sets of calculations gave identical results unless the integrity of the latter was maintained by limiting certain internal ratios to a given number of decimal points thereby ensuring their sides rationality. The Fermat’s set should automatically give a rational number solution if his conjecture is incorrect as per this supposition and the DR value should at some point equate to zero. However, graphical representation of these calculations shows that DR actually diverges away from zero, for any given set of analysis, with increases in both the Fermat index, n, and the number of decimal points. Hence, it is concluded that this investigation demonstrates, at least to engineering standards, that Fermat’s last theorem is correct, but also that this methodology could be a possible pathway to Fermat’s claimed ‘marvelous’ proof.
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The rub may lie in your qualification "at least to engineering standards", which in this case might amount to running afoul of the intuitionistic logic adhered to by (or merely implicit in the work of) some mathematicians; i.e. they would allow a reductio ad absurdum argument in which we assume ¬P, derive a contradiction, and then conclude ¬¬P , but would not allow the further step of concluding P from ¬¬P.
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Greetings, dear scholars,
Please let me know the methodology for: Phylogenetic analysis, Haplotype analysis, Gene flow and genetic differences of ITS 1, ITS 2, COX 1, and NAD1 markers.
I am thanking you in anticipation.
Best regards
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You can utilize tools like Bioedit, MAFTT, or Mega software for sequence alignment and subsequently construct a phylogenetic tree. Additionally, you have the option to submit your data to NCBI GenBank. There are numerous videos available on YouTube that can guide you through the process. If you require a demonstration, feel free to reach out if you need further assistance.
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I would like to explore the issue of Business Problem-Solving Methods Through Scientific Methodologies. I know it sounds very strange and entirely theoretical, but I am currently enjoying reading scientific literature on this topic, and below is a draft Research Idea Abstract. By the way, I came to this topic through a course I developed and am enjoying reading in Kazakhstan – "Intro to Consulting Studies".
(03/18/2024) Title: "Understanding and Describing Business Problem-Solving Methods Through Scientific Methodologies"
Research Question: How can Business Problem-Solving Methods be described through the lens of Scientific (Academic) Methodologies? What are the Methodological Boundaries of Problem-Solving Methods?
Approach (Methods): The study will review literature on Business Problem-Solving Methods using Scientific (Academic) Methodologies, complemented by semi-structured interviews with experts in academic and business fields.
Type: -Fundamental (not applied) research. -Qualitative research. -Systematic review(?).
Keywords: #Problem-Solving Method, #Scientific/Academic Methodology, #Methodological Description, #Theoretical Framework/Comparative Analysis
Objective/Goal: To explore and articulate the alignment and differences between business problem-solving methodologies and scientific (academic) methodologies.
I have several questions:
1) Is the topic itself not strange? It seems to me to be a systematization of materials from different sources – essentially, the entire research is a deep literature review, and it feels like “research about research”. I see a lot of similar literature, but such an approach is intuitively very unusual to me.
2) Can research, in principle, lack a “knowledge gap” but have a “methodological gap”? Does this not violate the principle, essence, and nature of research?
I apologize if my questions are very superficial or, conversely, not at the level of an amateur researcher.
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To develop a problem, theoretical gaps are certainly important, noting however that these can relate to a multitude of aspects: controversial theories, contradictory research results, methodological failures, under-studied populations, etc. The literature review makes it possible to decide on numerous avenues of deficiencies which it is then possible to exploit to conduct a process of problematization and research.
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Dear experts,
Now I am writing my PhD research proposal, and I have a question regarding variables.
You see, I have two dependent variables in my research and one independent variable. My question is, is it ok to have two DVs in my research? If so, what kind of methodology should I use to justify it? (I think maybe AnoVa is cool?)
Thank you. I am looking forward to hearing from you.
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Mingyue Li Thank u very much for your response. Now, I get it noww.
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AD Scientific Index is a reliable quality measure or a valuable tool for assessing institution and research quality, so it could soon become a significant factor in assessing both institutions and researchers.
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Yes you are absolutely right but some students donot know about the right indexing journals
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How can we use the Geographic Information System (GIS) as a methodology in architecture and urban planning research with case studies?
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There are many types of data that are used in urban landscape/ecology research that are only available via already established remote-sensed datasets. If you want to use these data your only option is to use GIS solutions. Alternatively, you might be interested in documenting a certain phenomenon in the urban setting, then using GIS solutions to present your study findings is usually appropriate.
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i am looking for methodology used to monitor wildlife road crossing points
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Look up papers by Rick Engemann and Lee Allen. They published several on using tracking plots to assess wildlife occurrence.
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I need to use one critical appraisal tool to assess the methodological quality of all the studies I have in my literature review to maintain consistency in my review.
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Well, the CASP tools are pretty straightforward. Appropriateness depends on the study design adopted by the paper you are appraising (i.e. look into the study design and choose the appropriate CASP tool to use).
However, there are 2 problems in using CASP: 1) Not all study designs are adequately covered, 2) The threshold for rejecting based on relevance maybe quite too high especially if you are dealing with studies/intervention/population that uses different methods. In which case, you may opt to use other Critical Appraisal Tools including the Centre for Evidence-Based Medicine and JBI.
However, even with these repositories of appraisal tools, I was once placed in a situation where appraisal was impossible due to lack of appropriate tool from these 3 sources. In this case, I was able to find McMaster Critical Appraisal Book which does not discriminate based on study design as it uses the best evidence principle.
To elaborate this further, maybe you can attach the article here and I'll try to help which tool can be used to appraise the study.
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Existing literature use the FACE systems, SACC, OTCs, and greenhouses. These are large-scale and also study plant responses. I intend to work with soil samples alone, and I can't find suitable methodology in any published work.
P.S. I intend using ICP-OES for assessing the bioavailable metal fraction. I have no challenge with that. My challenge is the lab-based CO2 exposure.
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Are you asking about establishing CO2 concentrations? This is something commonly done in studying post-harvest storage conditions, e.g., for fruit and vegetables. The concentrations of CO2 etc are monitored and controlled.
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August 25th, 2023
Those methodologies, we have to assume that are not the better ones, are being used to claim humans are 'making progresses' with regards the 2030 SDGs agenda.
As the ongoing human-sparked climate crisis and the huge Earth's ecology breakdowns seem unstoppable, scientists must ask what are the methodologies that are being used by other scientists to support those claims.
A generalized optimism keep asking time we (humans) do not have to fulfill those goals.
The 21st century science will be all about try to avoid a major planetary disruption sparked by just the biology-based dominant species.
We need metrics to avoid groundless discourses. That task will imply to create a system of systems regarding Earth observation in all scales.
It is relevant to say that the problem is not suitable for a technological perspective only... The problems we are facing are behavioral in nature.
Hernan L. Villagran
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Dear Hernan L. Villagran , I find this blog appropriate for your research question.
WHY EMBRACE SDGS IN MEDICAL RESEARCH AND PUBLICATION?
"Medical research and publication underpin the success of several SDGs—most notably Good Health and Well-Being (SDG #3) and Quality Education (SDG #4). As technology advances and the quantity and availability of research expands through open science and data sharing initiatives, international collaboration and interdisciplinary research has become more attainable and practical than ever before. By dedicating time, funds, and resources into fulfilling the SDGs, the medical research and publication industry can create strong collaborations and partnerships to accelerate accessibility and quality across all dimensions of healthcare...
There are several ongoing initiatives that will continue to support SDG adoption and growth in the medical research industry:
  • Emphasize systems thinking, interdisciplinary collaboration, and the intersectionality of SDGs.
  • Embrace advocacy and policymaking.
  • Support adoption of a universal SDG taxonomy.
  • Support data sharing and open science..."
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Does anyone suggest a topic for a Ph.D. dissertation related to Environmental economics and Fintech/Financial Economics?
How long data is enough for investigations? Which methodology is used for PhD dissertations?
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Kindly note that the method of data analysis depends on 2 things: the nature of the data and the dependent variable of the topic. Good luck
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I need gain an insight into which type of a review paper that contributes significantly to establishing a rationale for the significance of a PhD thesis?
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Hi!
Although, a scoping review offers a broad overview of existing research, suitable for exploring emerging topics or identifying gaps, while a systematic review involves a comprehensive analysis of a specific research question using rigorous methodology. However, the decision depends on your objectives as a researcher, available resources, and the level of detail required to address the research aims effectively.
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I'm working on a project focused on identifying repeated musculoskeletal cases within a dataset of 3597 electronic medical records (EMRs) of various conditions. Given the limited filtering options available, I'm seeking advice on the most effective sampling methodology to accomplish this task.
Considering the large dataset and the specific focus on musculoskeletal cases, what sampling techniques or methodologies would you recommend for efficiently identifying and sorting out the repeated cases? Are there any particular statistical approaches or strategies that could help optimize this process while ensuring representative sampling?
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When dealing with a large dataset of electronic medical records (EMRs) and aiming to identify repeated musculoskeletal cases efficiently, several sampling methodologies and statistical approaches can be considered. Here are some recommendations:
1. Stratified Sampling:
- Stratified sampling involves dividing the dataset into homogeneous subgroups or strata based on relevant characteristics. In this case, you could stratify the EMRs based on the primary diagnosis or chief complaint, separating musculoskeletal cases from other conditions.
- Once stratified, you can then randomly sample from each stratum to ensure representation of musculoskeletal cases while also considering the variability in other conditions.
2. Random Sampling with Replacement:
- Random sampling with replacement involves randomly selecting cases from the dataset while allowing for the possibility of selecting the same case multiple times.
- This approach can be useful for identifying repeated musculoskeletal cases, as it allows for the inclusion of duplicate instances in the sample. By examining the frequency of occurrence of each case in the sample, you can identify patterns of repetition.
3. Cluster Sampling:
- Cluster sampling involves dividing the dataset into clusters, such as by provider, facility, or time period, and randomly selecting entire clusters for inclusion in the sample.
- In the context of identifying repeated musculoskeletal cases, you could cluster the EMRs based on the healthcare provider or clinic where the records originated. This approach can help capture patterns of repetition within specific healthcare settings.
4. Statistical Analysis for Duplicate Detection:
- Once you have obtained a sample of EMRs using the sampling methodology of your choice, you can employ statistical techniques for duplicate detection and identification of repeated cases.
- Methods such as data deduplication algorithms, record linkage techniques, and frequency analysis can help identify instances where the same musculoskeletal case appears multiple times within the sample.
5. Machine Learning Approaches:
- Machine learning algorithms, such as clustering algorithms and anomaly detection techniques, can be employed to identify patterns and anomalies within the dataset, including repeated musculoskeletal cases.
- By training machine learning models on the dataset, you can potentially automate the process of identifying and categorizing repeated cases based on similarities in patient demographics, diagnostic codes, or treatment patterns.
6. Cross-Validation Techniques:
- Cross-validation techniques, such as k-fold cross-validation, can be used to assess the performance of sampling methodologies and statistical approaches for identifying repeated musculoskeletal cases.
- By partitioning the dataset into training and validation sets and iteratively evaluating the effectiveness of different techniques, you can optimize the sampling process and ensure representative sampling of musculoskeletal cases.
a combination of stratified sampling, random sampling with replacement, cluster sampling, statistical analysis, machine learning approaches, and cross-validation techniques can be leveraged to efficiently identify and sort out repeated musculoskeletal cases within the dataset of electronic medical records. Depending on the specific characteristics of the dataset and the goals of the analysis, different methodologies may be more suitable for achieving accurate and representative sampling.
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Hello, everyone. My goal is to create a factor (latent variable) from four questions in a questionnaire, each of a different type. Two are rated on a scale of 0-10 and so can be thought of as interval, one is on a scale of 1-5 and so is ordinal but could be thought of as interval (according to the literature) and the last is on a scale of 0-3 and so has only four categories and is ordinal.
I am wondering how should I go about the correct methodology if I want to create a factor from these variables? Respectively, what estimation and calculation methods should I apply, e.g. in EFA, CFA, IRT. Alternatively, should I convert all the variables to the same scale through transformation?
Thank you all very much for your answers, advice and tips.
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I don't think that it is necessary or useful to convert everything to the same scale (i.e., the same number of categories). This would mean that you would loose information for variables that have more categories than others.
Also, I don't understand what you mean by "Anyway, applying IRT to discrete variables is not appropriate either, so variables with fewer categories would be more appropriate." Most IRT models are designed for discrete data (i.e., binary or ordinal variables), for example, the polytomous Rasch model (e.g., https://en.wikipedia.org/wiki/Polytomous_Rasch_model).
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How can Artificial intelligence complement Ambient intelligence.What are the methodologies involved
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Ambient Intelligence is an emerging discipline that requires the integration of expertise from a multitude of scientific fields. The role of Artificial Intelligence is crucial not only for bringing intelligence to everyday environments, but also for providing the means for the different disciplines to collaborate.
Regards,
Shafagat
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For my research goal, I would like to extract a sustainable event pattern in the local area, is there any suggestion for that?
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Mohammad Reza Asadizarch Mohammad, Though I understand your question I also doubt I understand what you’re trying to make. - I’m sending variety of links with the hope that one or more with add insight to your studies.
1)__Cultural Pattern - a study guide
2)__ How to Identify Cultural Patterns and Improve your Strategic Thinking - Applying cultural studies and semiotics to brand and creative strategy.
3)__ Study Guide: CULTURAL PATTERNS AND PROCESSES
4)__ Cultural Patterns & Communication
5)__ Taxonomies of Cultural Patterns
6)__ Cultural Practices, Products, and Perspectives
7)__ Working on Common Cross-cultural Communication Challenges
8)__ Identify cultural patterns in the cities of Guarda and Covilhã
9)__ High, Low, Pop, Sub, Counter-culture and Cultural Change
10__ Social practices, rituals and festive events
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i just want to know if there are more options to do a quantitative analysis with xrd data
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The only other method that I’m familiar with is the use of calibration standards. Concentrations are obtained from a calibration line previously created from a set of standard samples of known compositions. Based on the intensity or area of a peak per phase, amorphous compounds can be quantified in this way. However, it can depend on your sample and whether you know what phases should be present or not. Best of luck!
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I have a graduation paper and i should write a methodology about zadie smith’s book “white teeth” if you can give tips or help me and i will be so thankful.
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Outline the approach you'll take to gather and analyse data in order to answer your research questions or address your objectives. Here's a suggested structure and some tips to help you get started:
Research Design:
Begin by discussing your overall research approach. Since you're conducting a qualitative study, you might consider using a narrative analysis or thematic analysis approach to interpret the themes, characters, and narrative techniques in "White Teeth."
Explain why this approach is appropriate for your research objectives and the nature of the text.
Clearly state your research questions or objectives. These should guide your data collection and analysis processes.
Describe how you'll gather data from "White Teeth." Will you be using direct quotes, passages, or specific chapters to support your analysis?
Discuss any additional sources you might utilize, such as critical essays or interviews with readers familiar with the book.
Explain your sampling strategy. Since you're analysing a specific literary text, your sampling may involve selecting key passages or chapters that best illustrate the themes or elements you're exploring.
Discuss any criteria you'll use for selecting these samples.
Outline your approach to analysing the data. This might involve coding the text for recurring themes, character traits, or narrative techniques.
Discuss any theoretical frameworks or concepts that will guide your analysis, such as postcolonial theory or identity studies.
Acknowledge any limitations of your study. This might include constraints related to the text itself, such as the potential for subjective interpretations of literary works.
Summarise the overall approach outlined in your methodology section and reiterate how it aligns with your research objectives.
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The proposed topic of discussion may be a bit confusing, but I couldn't find a better one. The main problem is not that innovative as well as emerging technologies and the resulting products have a significant social impact on individuals and groups.on individuals and as a group. The key critical problem, in my opinion, is the development of a consistent methodology for describing and assessing such effects, including in relation to technologies and products that are not yet generally available. So, how do you do it?
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And what do you think about the need to forecast (predict) the behavior of an innovative product in the market. Such forecasting, as you mentioned, concerns a relatively distant time horizon. On the other hand, "classical" quantitative forecasting methods, using various forms of trend extrapolation, require historical data. In the case of innovation, such data are practically unavailable. So: is the task of predicting the social impact of techno-innovations feasible using known methods or should something new be invented?
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data collection methodology
data analysis methods
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You need to provide additional information on the nature of the data and yur dependent variable(s). Both are the determinants of what method of methodology to use in an empirical research
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I am not entirely sure if there are standard practices for tumour immunohistochemical preparation seeing as tumours aren't usually the most organized structures, but I may be wrong.
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Received glass slide mounted tumors tissues form OT
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important of methodology course
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Methodology courses for postgraduates are important for research regulatory compliance. This will promote ethical research practices.
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Is there anyone can help me to answer this question?
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My recommendations are to stick with the classics and once there is a good grasp of things, then, venture out into the trends du jour.
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What tools or methodologies are available to comprehensively analyze RNA expression profiles across various human tissues, specifically to discern and compare transcript variants of a gene
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Dear Prof. Mukaram Bhat
Genome browsers often provide links to external databases that contain additional information about transcripts and genes. You may find links to resources such as NCBI Gene, Ensembl, or RefSeq.
Regards
Jogeswar Tripathy
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TOPIC: "Financial Practices Among Nepali American Nonprofits."
Methodology: Mixed - Qualitative and Quantitative.
I am looking to conduct a self-generated survey to collect data. My mentors advised me to hunt for the survey questionnaire set. Can you please advise on what questionnaire would be good to use to collect the DBA research data?
I appreciate your help!
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Basically, to build the questionnaire, you must search for the same topic through practical search engines Such as Researchgate, Google Scholar, and others,
Through this research,
you will find similar research that used questionnaires as a tool
From there, you can start building your questionnaire.
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Haarmann, H. (1990) Language planning in the light of a general theory of language: a methodological framework. International Journal of the Sociology 86, 103-26
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Is there any resemblance in how "information flow" happens in humans (Molecular Biology/Neurology) and computers (Computer Networking)?
This question came to be after a note was made by a Computer Networking (CN) lecturer that no new methodologies for information flow in CN to be discovered.
I got interested to look for the answer in the Central Dogma of Molecular Biology, and still awaits further insights.
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Absolutely, there are some interesting parallels between how information flows in humans and in computers, although the mechanisms are quite different.
In humans, at the molecular biology level, information flow is governed by the Central Dogma, where DNA is transcribed into RNA, and then RNA is translated into proteins. These proteins are crucial for various cellular functions. In neurology, information flow involves neurons transmitting electrical and chemical signals across synapses, essentially how our brain communicates and processes information.
In computers, information flow happens through computer networking, where data is transferred using protocols over various types of physical and wireless networks. This is akin to a structured set of rules determining how data packets are sent, received, and interpreted.
The resemblance lies in the fundamental concept of transmitting information. In both humans and computers, information is encoded, transmitted, received, and then decoded. In humans, it's more about biochemical and electrical signals, while in computers, it's about digital data packets.
However, it's important to remember that the underlying processes and materials (biological vs. electronic) are fundamentally different. It's a fascinating area of study, with each field having its own complexities and advancements!
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I am developing a research proposal on 'museums and interfaith dialogue' in the context of Pakistan. I am wondering which research methodology will be applicable in this context?
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To use quantitative methods, such as a survey, you would need to have an independent variable that differs across museums, and a dependent variable that measures religious harmony and tolerance among museum goers. In addition, you would need a large enough sample of museum goers (typically 250 or more) to produce statistically reliable results.
If you cannot meet those requirements, then you should consider qualitative methods, such as a comparative case study of two museums that use different approaches to your topic.
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How / which tool /Methodology can be used to assess the effectiveness of teachers' training and professional development delivered through Moodle-Learning Management System ?
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Dear Mr. Ngendahayo!
I did search for resources that hopefully are of value to you:
1) Flores-Chacón, E., Pacheco, A., Gonzales-Ortiz, Y. et al. Educational innovation: the architecture of digital technologies as a catalyst for change in university teacher training. Sci Rep 13, 20991 (2023). https://doi.org/10.1038/s41598-023-48378-w, Open access:
2) A case study: Miguel Martín-Sómer, Cintia Casado, Gema Gómez-Pozuelo, Utilising interactive applications as educational tools in higher education: Perspectives from teachers and students, and an analysis of academic outcomes, Education for Chemical Engineers, Volume 46,
Yours sincerely, Bulcsu Szekely
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  • How can lean methodologies contribute to the development of resilient strategies that manage demand uncertainty and fluctuations in bakeries?
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Lean methodologies can enhance bakery resilience by optimizing production processes and inventory management. Through practices like continuous improvement and waste reduction, bakeries can streamline operations and respond swiftly to demand fluctuations. Adopting a demand-driven approach enables them to flexibly adjust production levels, minimizing excess inventory and waste during periods of uncertainty. Additionally, lean principles promote cross-functional collaboration, empowering teams to share insights and adapt swiftly to market changes. By fostering a culture of adaptability and efficiency, lean methodologies contribute to the development of resilient strategies, allowing bakeries to navigate demand uncertainties with agility and minimize the impact of fluctuations on their operations.
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Exploring the potential of self-supervised learning in advanced AI models for improved adaptability and efficiency. Seeking insights on methodologies and applications from the ResearchGate community.
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Self-supervised learning holds paramount importance in the field of artificial intelligence due to its ability to alleviate the dependency on labeled data. In domains where labeled data is scarce or expensive to obtain, self-supervised learning offers a viable solution for training effective models.
Regards,
Shafagat
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Seeking insights into the efficacy of agent-based modeling for improving simulation precision and resilience in intricate systems. Open to discussions on methodologies and practical applications.
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Try a pubmed search, which will tend to lead to ward medical applications:
At:
e.g. search with: "agent based"[tw]
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My research is based on hydroponics and soil-grown plants. The analytical analysis of plants is done through a similar methodology but I have too many results to be added in one paper. For example, just the hydroponics part is already at 12000 words with 10 figures. Soil-grown plants paper is even lengthier. So, I was wondering if I could use the same methodology for the soil-grown plants with of course slight differences in soil analysis. If yes, then do I rephrase the methodology or do I add a reference to my first paper?
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Hydroponics is a method of growing plants without soil. soil gardening uses the natural nutrients present in the soil, whereas hydroponics depends on a nutrient solution to supply the nutrients required for plant growth. soil gardening uses the natural nutrients present in the soil, whereas hydroponics depends on a nutrient solution to supply the nutrients required for plant growth. Hydroponics uses no soil; instead it uses a completely inert, sterile medium. Nutrients in their elemental form are added to the water, and plants are usually watered several times throughout the day. Plant roots absorb these nutrients directly because they are already in their most basic form and dissolved in water. It is simple to test the nutrient solution to find out what concentration of nutrients is available to the plant roots
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Taking into account the following points:
- Assessment of the level of motivation of personnel involved in the project activities of enterprises.
- Methodological and applied approaches to increasing the level of motivation in the project management system.
- Formation of a model of the motivation system based on the Theory of Generations.
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Improving and increasing motivation in a project management system involves addressing both individual and team dynamics. Here are several methods to enhance motivation in a project management context:
  1. Set Clear Goals and Objectives:Clearly define project goals, objectives, and expectations. Ensure that team members understand the project's purpose and how their contributions align with the overall mission. Clear goals provide a sense of direction and purpose, fostering motivation.
  2. Empower and Involve Team Members:Involve team members in decision-making processes and allow them to have a say in how tasks are accomplished. Empowerment creates a sense of ownership and responsibility, motivating individuals to actively contribute to project success.
  3. Recognize and Reward Achievements:Acknowledge and celebrate both individual and team achievements. Recognition and rewards can come in various forms, such as praise, awards, or tangible incentives. Positive reinforcement boosts morale and motivation.
  4. Provide Professional Development Opportunities:Offer opportunities for skill development and career advancement. Team members are likely to be more motivated when they see a direct link between their work and opportunities for personal and professional growth.
  5. Promote a Positive Team Culture:Foster a positive and supportive team culture. Encourage open communication, collaboration, and a sense of camaraderie. A positive work environment contributes to higher job satisfaction and increased motivation.
  6. Ensure Adequate Resources:Make sure that the team has the necessary resources, tools, and training to perform their tasks effectively. Lack of resources can lead to frustration and demotivation, while ample resources empower individuals to succeed.
  7. Set Realistic Expectations:Establish achievable and realistic deadlines. Unrealistic expectations can lead to burnout and decreased motivation. A well-balanced workload encourages sustained effort and enthusiasm.
  8. Provide Autonomy and Flexibility:Allow team members some degree of autonomy in how they approach and complete their tasks. Providing flexibility in work schedules and methodologies can improve motivation by accommodating individual working preferences.
  9. Foster a Sense of Purpose:Connect the project to a larger purpose or mission. Help team members understand the significance of their work and how it contributes to the organization's overall goals. A sense of purpose enhances motivation.
  10. Encourage Continuous Feedback:Establish a culture of continuous feedback. Regular feedback sessions provide opportunities for improvement, allow for the recognition of achievements, and demonstrate that individual contributions are valued.
  11. Promote Work-Life Balance:Encourage a healthy work-life balance. Recognize that employees have personal lives and commitments outside of work. Supporting a balanced lifestyle contributes to overall well-being and motivation.
  12. Address and Manage Conflict:Proactively address conflicts within the team. Unresolved conflicts can negatively impact motivation and teamwork. A healthy team dynamic fosters a positive and collaborative atmosphere.
Implementing a combination of these methods can contribute to a more motivated and engaged project management team. It's important to tailor these approaches to the specific context of the project, the organization, and the individuals involved. Regularly reassess and adjust strategies based on feedback and evolving project dynamics.
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I work on a comparative study related to professional standards in the announcement of the results of election research and public opinion surveys. I am interested in whether there are such standards (requirements) about the methodological information that is publicly available from such studies in different European countries?
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There are a number of survey windows for an assignment of this pedigree. One of such is the Eurobarometer - I mean the European Parliament's Spring. It specifically surveys Europeans' continued perception and conviction of democracy. It releases its survey findings about the workings of the EU, the European Parliament, and about how continually attached Europeans are with democratic values. It equally mirrors the ups and downs of Europe's economy as well as other socio-political upheavals that bedevil the continent.
With these indices, the trajectory of a possible electoral victory could be predicted. For the projections for 2024 elections, the survey (European Parliament's Spring) has conducted a pre-election aptitude regressing a number of socio-political factors in 2023 on possible phenomena that might unfold in 2024. It contains a total number of 27 European countries.
You can explore the dataset using the following link:
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I need your helpe PLEASE!
For my research paper, and In order to develop my dataset, i fielded the missing observation with interpolation/extrapolation method. And I need to ensure the quality and behavior of data before starting my analysis. Could you kindly provide more details on the specific steps and methodologies to be employed to ensure the meaningfulness and verifiability of the results, I am particularly interested in understanding:
- The quality assurance measures taken before and after applying interpolation/extrapolation techniques.
-Is there a trend approach to be adopted to reflect developments within the periods for the missing data?
- and if there are any diagnostic tests to be conducted to validate the reliability of the fielded data.
Thank you in advance for your time and consideration.
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BEFORE
1. Data verification:
2. Data preprocessing:
3. Model selection:
4. Validation and cross-validation:
5. Sensitivity analysis:
6. Error estimation:
After applying interpolation or extrapolation techniques, additional quality assurance measures can be taken:
1. Result validation
2. Sensitivity analysis
3. Result visualization:
By following these quality assurance measures, the accuracy and reliability of the interpolation or extrapolation results can be improved, ensuring that the derived values are as valid and useful as possible.
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Seeking insights from the research community on the correlation between systematic research methodologies and the accuracy of results. How does the systematic implementation of research processes contribute to the reliability of findings? Share your experiences, perspectives, and any relevant studies that explore the relationship between systematic approaches and the precision of research outcomes. Open to discussions on best practices and challenges encountered in maintaining accuracy through systematic research. Your expertise and contributions will contribute to a broader understanding of the impact of methodological rigor on the quality of research outputs.
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I'd say (actually Dr. Deming, a PhD physicist and quality guru) said "there is no true value of any measurement". Even a simple task of measuring how long a piece of paper is will result in different measurements depanding upon the person doing the measurement and the tool used for the measurement. How much do you weigh? Even that flucuates throughout the day. One last example - tell some school children to count how many animals are ina box of animal crackers. One literal answer is zero (there are no animals) but even in counting crackers - here is the head of a cow, here is the body. Is that one aninmal or two?
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I have the data on the DBH and the age of the trees. The farmers provided the ages, and some of them are not related to the reality of the DBH. Is there any scientific method that I can use to remove some ages that I can consider false data or outliers? Methodology: I can use DBH and ages to screen some data.
Thank you
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To screen data using Diameter at Breast Height (DBH) and age, begin by collecting precise measurements of tree DBH and age requires at least 3 years of data. Establish criteria based on your analysis goals, such as specific age ranges or DBH thresholds. Apply these criteria to filter the dataset, selecting trees that meet the specified conditions. Utilize visualizations like scatter plots to explore the relationship between DBH and age. Conduct statistical analyses, such as correlation or regression, to uncover patterns in the data. Perform quality control checks to ensure accuracy, identifying and addressing outliers. Finally, interpret the results in the context of your research objectives, considering how the relationship between DBH and age aligns with expectations or hypotheses. Adjust these steps according to the unique goals and characteristics of your study.
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I have a excel dataset which I want to train first and then apply PSO technique to find the best output value from the trained dataset. Can anyone provide me the methodology or codes?
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Not this. If you trained an ANN, you can call the same ANN as a function (you should save the ANN and call the prediction function of ANN) and then use it as an objective function of any optimization algorithm you want to try.
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Can Interpretative Phenomenology be used as a methodology if we are using a theoretical framework which is based on social capital theory and social network theory to understand collaborative relationships and networks?
Can Phenomenology be mixed with another methodology (such as the social network analysis[Qual or Quan])?
Thank you friends for your views.
Adjodha
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If your collaborative relationships involve in-depth and ongoing connections, then a phenomenological approach might be appropriate. Keep in mind that J. Smith and company typically suggest 5-7 interviews with an intense analysis of each.
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Greeting everyone,
I wanted to ask for elucidations regarding EMA and the statistics behind it.
For a background, I was thinking of developing a study in which 2 groups of people will be assessed by means of EMA for 4 days in three different moments, aka week 1, week 3 and week 5. The data collected should be related to emotional responses and will be assessed by self-rated questions on EMA multiple times a day. The sample size should be round 40-50, divided in two groups
I am not familiar with EMA studies, for what I've seen there're many methodological issues regarding how to analyze the datas.
For one, in a setting such as the one exposed, given the multiple levels of measures (3 times for two groups), could aggregating the data for the three different times (ie means of emotional reactions) and then analyze by mean of a repeated measure ANOVA be a good solution? Or is it absolutely necessary to employ a multilevel model? I've seen studies employing differently both t-test mean ratings or multilevel model approaches, but I'm not really familiar with multilevel models and nearly all have been employed in more simple settings (ie single time or two times but single group).
On a similar note, in accounting for individual variability, I've seen using both ICC or mean squared for successive differences (MSSD) as approaches used. In particular, MSSD seems similar to aggregating responses as an approach. Should I use both or is one superior to the other? And why so?
I hope I've been able to expose my doubts in a comprehensive manner, thank you beforehand.
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If there's missing outcome data then using the average isn't ideal (as is losing information by dropping incomplete cases or < 80% incomplete cases). The multilevel model should be less biased and may have greater statistical power. The average analysis basically overweights cells with missing data and hence overweights noisy responses.
There may be other good reasons for your design but in most EMA designs there are time-varying covariates that will be ignored or not dealt with adequately if you just average. Here I think time of day is the obvious factor not handler properly if you average t0, t1 etc. So not special insight here - just the intuition that an analysis that ignores the structure/timing of data collection might miss something important.
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  • How can these methodological considerations impact the reliability of drawn conclusions and their relevance to cancer research and treatment?
  • I am currently exploring the realm of meta-analyses and am in the process of seeking guidelines that can assist me in structuring a more robust study. As a newcomer to this area, I am keen on understanding the best practices and methodological considerations to ensure the effectiveness and validity of my research. Any insights or recommendations in this regard would be greatly appreciated.
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I recommend checking out reviews by Cochrane Haematology or other Cochrane cancer groups (e.g here https://breastcancer.cochrane.org/news/our-most-cited-reviews). It´s always a good idea to involve practitioners and patients, for example, to identify relevant outcomes.
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The binary variable in question is my main dependent variable and the categorical variable is my independent variable. I have explored methodologies such as Pearson correlation, tetrachoric correlation and point biserial correlation but I am rather confused as to which will be appropriate for these variable types.
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If your categorical variable is not ordered, then I would recommend chi-square. It is not a correlation, but you can examine the "residuals" to determine which categories are responsible for an overall effect.
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I am a BE CSE 2nd year student with interest in astronomy I want to write a research paper on stellar astronomy combining concept of machine learning but neither i have extensive data nor I have complex equiptments so how can i proceed with my research and what should be my methodology. I want to focus on topics where previous research lacks.
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I dont know look it up. Maybe squint yourr eyes or something and youll see it. Glad i could be of service!
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what type of methodology could i use pls?
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Identify the types and levels of pollutants present in the dumpsite soil and water samples using appropriate analytical methods, such as atomic absorption spectroscopy, gas chromatography, or mass spectrometry
Select the plants that have been reported to have bioremediation capabilities for the pollutants of interest, such as sunflower, Indian mustard, vetiver grass, or poplar
Plant the selected plants in pots or plots containing the dumpsite soil and water samples, and maintain them under optimal conditions of irrigation, fertilization, and pest control
Monitor the growth and health of the plants, and measure the changes in the pollutant levels in the soil and water samples over time using the same analytical methods as before
Compare the results with those of control plants grown in unpolluted soil and water samples, and evaluate the bioremediation potentials of the selected plants based on the percentage of pollutant removal or reduction achieved by the plants
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I've been trying to export more than 50.000 document of articles for bibliometric study, but the limit is only up to 20.000 documents. I've tried to divide them to some range, but it didn't work (it said that download only allowed for first 20.000 only). What can i do to export all of those 50.000 documents at once? Thank you in advance.
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Hi
After downloading the first 20000 documents, the option of secondary documents will be active and ..., and you can download the rest of documents.
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Whenever I like an article in which regression analysis is used, I ask the authors if they can share some raw (!) data, because I'm writing a book and software about this topic, and I want to include very diverse real examples.
But, to my disappointment, practically nobody even reacts! Why?
Are people affraid that a new light on their data might disrupt their conclusions?
I thought openness was considered a virtue in the world of science?
But if I want to see articles that include data, I have to dig in the very old ones!
What are your thoughts?
P.S.: I can still use simple datasets from physics to psychology, from chemistry to sociology, anything...(just 1 independent variable, preferably with information about the measurement imprecision). Of course I quote you as the source. Thanks in advance!
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Christian Geiser , you wrote that "After all, the researchers spent time and money collecting the data; they don't want others to benefit "for free.""
They have a publication, don't they? So they did earn their pay.
Often researchers are paid by the public, they work in public universities, they serve the public. Public money is spent in their institution, their salary, their instruments, their consumables, and their publications (many journals take money!). And after all, the data - the hard stuff that counts most - are kept secret. Even when the publication is in journals that require that the data are made available (as per their Instructions for Authors).
Of course, some human-related (typically medical patient) data may not be made fully available for data protection reasons, if the data would allow for an nearly unambiguous identification of individuals from the combination of subject-related data given (I think this is what you meant with possible IRB concerns). But this applies only for (some) clinical studies where a lot of variables are used or for the combination of extremely rare features.
In my opinion, publication includes publication of data, not just arbitrary summaries and conclusions drawn from it. When the data are not available, then it should not be regarded as a scientific publication. We (the scientific community) should set the bar as high as reasonably achievable, and today this means that the data should be available (ideally following the FAIR principles [https://en.wikipedia.org/wiki/FAIR_data]), either via the supplement or via some dedicated public database.
I have also seen papers where the authors claimed that the data are published because the individual data points were shown in scatter plots. This is not publishing data; the data shown in scatter plots is extremely hard to use, often data points are overlapping, and multivariate relationships can not be recovered at all.
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This is for an identity perspective analysis of international relations master thesis. I have researched so far some of the theoretical bases of those two, but I am trying to figure out a practical and if possible facile method of analysis for my first hand research that I need to do for the paper.
I would like to find out how I need to go about steps such as: finding the material, structuring of the material, comparative method, etc.
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The basis of strategic culture is realizing the extent of the importance of the prevailing culture in a country in influencing the perception of threats facing the state and then formulating security strategies to confront them.
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what are the comparative studies that are done comparing TBLT and PPP methodologies in sri lanka?
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Kaveesha Sanjani This is a puzzle that requires the intervention of education experts in Sri Lanka. The TBLT is largely inductive while the PPP is undoubtedly deductive. The comparative studies conducted around the two teaching approaches ought to be geographically defined and determined. This is because what turns out to be a therapy in a society might be considered a venom elsewhere. This is suggested in order to avoid over-generalization.
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Dear researchers,
As part of my doctoral studies at the Prague University of Economics and Business, I am developing a dissertation on the topic Methodology for assessing the quality of the user interface of the tax portal, which I am verifying using e-mail interviews with experts. I am therefore turning to you with a question, whether it would be possible to get feedback from you on the proposed methodology sent in the attachment (it is enough to briefly answer 10 questions). The answers will be listed as anonymous in the thesis.
I would be extremely grateful and it would help my research and work a lot. I am fully aware of the value of your time, so do not hesitate to write a proper remuneration, which I will send immediately.
Thank you very much for any reply,
Tereza Zichová
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Tereza Zichová Tereza, I have an alternate idea. Use what you have, test it on a small group and try and observe what happens when the try to use the portal. Assume there's a lot you won't fix all at once. Fix what you can. Then do another test.
In other words, ignore what I said, ignore all the books about interfaces and user experiences and develop ideas for the tax portal from what you observe. --- Same with accommodating a wide variety of people. Test and fix things based of what you observe.
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Hello everyone,
I am currently working on my bachelor thesis and struggle with a concept.
The goal of the thesis is to analyse the potential benefits and risks for a data exchange Platform for SMEs in the wood supply chain.
My strategy way to conduct a „literature review“ to find potential use cases in both the wood industry but also potential applications from other sectors that can be adopted.
Additionally, I would like to conduct Semi-structured Interviews with industry experts to validate/invalidate the findings and extend the knowledge pool.
My question now is, what kind of methodology is that? I often read that a literature review is not a methodology but what else is it called.
I would appreciate any advice on how such research Design is called or can be adjusted to fit the project goals.
Thank you very much in advance.
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Depending on how extensive the "cases" are that you present are, this might be considered an application of "vignettes" in qualitative interviews. Whatever the format for your presentation is, you will need to do a literature review to prepare for it, and that is not a method in itself.
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Learning strategies
-feynman technique
-active recall technique
Title: "feynman technique" and its effect on student mathematical learning in solving algebra.
What I always found an RRL/RRS, their methods were teaching strategies. Basically, teachers will introduce/utilize this method in their daily lesson plan on the experimental group. Is their any way that won't include the teachers, instead only the students will be involved in the methodology?
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Another step would be to automate peer review thus potentially making people independent to get PhDs.
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Dear All
I am struggling to find guidelines for writing an article where the outcome/result is a framework. I want help in understanding how to present it in the research paper, and the methodology is qualitative.
Kindly help me, Thank You
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When presenting a framework as an output in a research paper, there are a few key elements to consider:
Introduction: Begin by introducing the purpose of your research and the specific research question or problem your framework aims to address. Provide a brief overview of the significance of the topic and the relevance of your framework in the field of social entrepreneurship.
Methodology: Clearly explain your qualitative research methodology, including the data collection techniques and analysis methods used to develop your framework. This should include details on how you collected and analyzed the data, such as interviews, observations, or document analysis.
Framework Development: Describe the process you followed to develop your framework. This may include steps such as data coding, categorization, or thematic analysis. Explain how the themes or categories emerged from the qualitative data and how they were refined to create the framework.
Framework Presentation: Present your framework in a clear and visually appealing manner. Consider using diagrams, charts, or tables to illustrate the components and relationships within the framework. Label each element and provide a brief explanation of its significance. Ensure that your framework is easy to understand and can be easily referenced by readers.
Framework Validation: Discuss how you validated your framework to ensure its reliability and validity. This could involve techniques such as member checking, peer review, or triangulation of data sources. Explain how the feedback or input from participants or experts influenced the final version of the framework.
Discussion and Implications: Analyze and interpret your framework within the broader context of social entrepreneurship. Discuss the implications of your framework for theory, practice, and future research. Highlight how your framework contributes to the understanding and advancement of social entrepreneurship as a field of study.
Conclusion: Summarize the main findings and contributions of your research, emphasizing the value of your framework and its potential impact on social entrepreneurship. Highlight any limitations or areas for further exploration.
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What are the emerging research areas and trends within the fields of agricultural extension and agricultural social sciences?
I am interested to understand the most recent advancements in research, innovative methodologies, and pressing challenges that researchers are currently exploring in this fields. Your insights will greatly contribute to my understanding of the evolving landscape of agricultural extension research.
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the most pressing area of agriculture are:
1. ICT and Agriculture
2. Urban Agriculture
3. Climate Resilient agriculture
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I'm looking for dating of Late Quaternary (Holocene) sediments in Tehran. Which methologies give me correct date?
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If you intend to date sediments in Iran, the only viable option is the Tehran Luminescence Lab, under the direction of Dr. Morteza Fattahi. However, if you have the opportunity to date sediments outside of Iran and your sediment contains carbon, carbon-14 dating can also be a valuable method to consider.
Good Luck.
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what is the more effective methodology for studying general social phenomenon like individual or group perception?
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There are several methodologies for studying individual and group perceptions; it just depends on what your research questions are. If you're interested in learning about group perceptions about a topic in general, then a survey would likely suffice. If you're more focused on the intersection of perceptions, then a focus group is probably going to be more helpful.
You first need to map what perception(s) you're interested in examining, which population(s) you are interested in studying, and what relationships (if any) you want to explore in doing so.
I'm happy to give a specific recommendation if you can provide more detail on the research questions or the context and perceptions you're interested in studying.
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I want to calculate Aridity Index (FAO) and I am looking for methodology to calculate the same. How to calculate AI? Is there any easy way or software to calculate AI? I really appreciate your valuable answers. Thank You
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The Water Dependency Index (See References)
The comprehensive water balance expresses the amount of virtual water associated with food products trade and defines a "Water Dependency Index" (WDI), which represents the part of net virtual water in the total food demand water equivalent. This assumes that the allowance in Blue Water to irrigation must adjust to the available water once the direct needs insured.
The Food Demand Water Equivalent (FDWE) includes water equivalent of Agricultural Production consumed on the local market and the water-equivalent of agri-food imports. The water equivalent of agricultural production includes green water-equivalent and blue water equivalent.
The "Water Dependency Index" (WDI) defined by Besbes et al. (2002, 2010) represents the net equivalent of Virtual Water volumes (Imports-Exports) within the total food demand and is expressed as: WDI = (IMP-EXP) / FDWE.
If one refers to international literature, the concept of water dependency, as defined by FAO (2003), relates only to blue water; it expresses the external renewable water resources (originating outside the country) as a percentage of the total renewable water resources (internal and external). This definition has been largely used by the scientific community as well as by international organisations.
Based on water footprint concept, Hoekstra and Mekonnen (2012) defined the ‘virtual water import dependency’ of a nation as ‘the ratio of the external to the total water footprint of national consumption’ where total ‘water consumption’ refers to the ‘water needed for the production of the domestic demand for goods and services’. The indicator is conceived to reflect the extent to which a country relies on imports of water in virtual form. The results reported by Hoekstra and Mekonnen (2012) on water dependency give, as it may be expected, high values for water-scarce countries (like Jordan 86%, Israel 82%, Yemen 76%, Lebanon 73%). These results reveal however some striking points; in particular, some water-rich countries such as Italy, Germany, the United Kingdom, and The Netherlands have surprisingly high water dependency indexes between 60–95%.
By relating the Water Dependency Index to agricultural water, the indicator proposed by Besbes et al. (2002, 2010)attempts to go beyond the appraisal of the water dependency level of nations to specify the balance sheet items related to the national food demand. As the net equivalent of virtual water represents the difference between the total food demand water equivalent and the total food production water equivalent, the Water Dependency Index (WDI) could be more explicitly detailed in order to bring out the different contributions to food production: "Blue Water" referring to the use of ground and surface water as well as non-conventional water resources, "Green Water" referring to the water reserves of the soil effectively used in crop production or into direct grazing, and "Virtual Water" referring the flux of the "net virtual water import". The objective is to consider the extent to which greater value for all water resources could be achieved.
As the major part of water resources is directly or indirectly used in food production, the WDI related to food balance is in itself sufficient to reflect the National water security by measuring the level to which a nation relies on foreign water to ensure its food demand. This indicator could be consolidated by financial indicators, for instance, the coverage rate of the agri-food trade balance. The improvement of the food security of a country expressed in terms of WDI will depend on the capacity of the country to improve food productivity either in the irrigated sector (Blue Water, including non-conventional water resource) as well as in the rain-fed agriculture and direct grazing (Green Water). From this point of view, the WDI appears as a major decision-making tool for sustainable water resources management. It is also a learning tool as well as a 'discussion-support' tool that provides a common platform for the coherence of the activities of different actors and stakeholders.
References
Besbes, M., Chahed, J., & Hamdane, A. (2019). Food and water management in Northwest Africa. The Oxford Handbook of Food, Water and Society, 426.
French version available on:
Besbes, M., Chahed, J., & Hamdane, A. (2019). National water security: case study of an arid country: Tunisia. Cham, CH: Springer.
French version:
Hamdane, A., Chahed, J., & Besbes, M. (2014). Sécurité Hydrique de la Tunisie: Gérer l'eau en conditions de pénurie. Sécurité Hydrique de la Tunisie, l'Harmattan, Paris.
Available in chapters on:
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Hello dear researchers,
I need the right and best methodology to write a narrative review.
Thank you!
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Dr Anna Kuteleva Thanks for this important answer
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The above questions are necessary when it comes to modelling description under the methodology section.
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I think that Chakit Arora provides a good way of defining those three terms. However, I would caution against assuming that those definitions are applied consistently across different fields of study.
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Greetings everyone.
During my master's research, I focused on exploring the potential of a specific bacterial strain to produce antibacterial compounds. To achieve this, I used the technique of liquid-liquid fractionation (Extraction) using butanol for the bacterial culture broth. Then, I subjected the supernatant to freeze-drying and further dissolved a portion of the butanol crude extract in methanol for analysis using GC-MS. The results revealed the presence of two secondary metabolite compounds, notably beta-carboline and cyclo-l-proline-l-leucine.
I investigated the genes and enzymes of the bacteria, and it appears that the genes and enzymes that synthesize beta-carboline and related compounds were not present in the bacteria. I have the genomic sequence date of the bacteria. I have searched the genome database to identify any genes or enzymes associated with the production of beta-carboline. Unfortunately, no such gene or enzyme seems to be directly related to the synthesis of beta-carboline in this bacterium. Also, my investigations regarding the McbB enzyme (which is an enzyme that works for the production of beta-carboline) have unfortunately provided no evidence of its presence in my bacterial strain.
So my question Is there an alternative methodology or approach by which I could clarify the mechanisms used by this bacterial strain to produce these compounds? For instance, the synthesis of beta-carboline usually involves the enzymatic action of tryptophan decarboxylase, which catalyzes the conversion of tryptophan to tryptamine. However, my bacterial strain seemingly lacks this specific enzyme. I am hoping that if any practical strategies or methodologies exist, I will try them as a first step to finding some answers for the synthetic pathway.
I sincerely appreciate any insights or directions you can provide.
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I guess your doubt is related to Intra-Cellular metabolites (I guess you have chosen secondary metabolite compounds instead). You can have a look at my recent publication, which was published in RSC Molecular Omics recently. It may drive you to some extent in your research focus.
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Dear community,
I want to ask you a methodological/statistical question.
We performed ten independent hierarchical linear regressions divided by gender for an article writing (N=1502 participants, 39.9% men and 60.1% women). Could Type I error significantly arise through ten independent hierarchical linear regressions? Or do we have enough statistical power for each subgroup to guarantee that we have enough statistical power? I would also appreciate references that can help us make clear this matter.
Thank you so much!
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Don't worry about whether there is Type 1 error, but simply make an adjustment to minimise it, such as doing what Hsin-Yuan Chen said :)
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Hi all,
My question is that,
Performing the analysis with the same data, with two different methodologies but still getting statistically insignificant results. Is it okay? If yes, how can this be justified.
Thank you!
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"N" is a short-cut way to say "sample size."
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According to the journal cited below, methodology should be investigated whenever zone diameters are consistently not within the mean range because there might be an error. Control charts such as Shewhart Diagram, and Westgard rules were mentioned to be helpful in interpreting changes and monitoring the performance, aside from those two, what are the other useful methods that we can utilize to assess the zone diameter issues?
King, A., & Brown, D. F. J. (2001). Quality assurance of antimicrobial susceptibility testing by disc diffusion. Journal of Antimicrobial Chemotherapy, 48(suppl_1), 71–76. https://doi.org/10.1093/jac/48.suppl_1.71
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An important question, I am waiting for the answer, too...
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I am seeking papers elucidating the methodologies employed in addressing the intricacies inherent in the multi-index transportation problem and the multi-stage transportation problem. My objective is to compile a selection of papers that expound upon these techniques straightforwardly and methodically. This compilation aims to nominate them to benefit a fledgling researcher venturing into this domain. I am open to receiving recommendations that align with the above criteria, enhancing the material I intend to present to the aspiring researcher. Your valuable suggestions in this regard would be greatly appreciated.
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Which sequence should be ideal to follow.
1. Research gap
2. Research question
3. Research objectives
4. Research methodology
or
1. Research question
2. Research methodology
Secondly in which sections of the paper (introduction or Literature review) the above should be placed. I find some people place in introduction while others put in the end of literature review section.
Looking for expert advice.
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Thanks Prof Gaurav Tandon for clarification.
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I am in the process of finalizing my individual grant proposal.
I really need your recommendation and your suggestions.
I have a question regarding my research, which will include interviews with experts and scientists. To ensure methodological reliability, I need at least two intercoders to participate in data analysis.
Could you advise how I can include these people in the project as intercoders?
Could these be the scientists who signed the LoI to collaborate on the project?
What is the correct way to describe this thing?
I will be grateful to you for any recommendations and advice.
Best regards,
Sabina
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Whether or not you calculate inter-coder reliability depends on the kind of analysis that you are doing. This approach words best with content analytic coding where you have a detailed, pre-determined codebook. It is less effective with more inductive, meaning oriented coding. In particular, Brown and Clarke argue quite vigorously against using it with their version of Thematic Analysis (Reflexive Thematic Analysis).
As for who the coders might be, the most common choice is to train graduate students to do this work. A frequent format is to compare your own coding to that of a research assistant.
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I am conducting my MSc in Organisational Psychology and my thesis is centred on how managers support their teams various needs (across both short- and long-term and with regard to wellbeing or performance).
In my analysis, I am observing codes which differ in the managers style when meeting their teams short term needs compared with their long term needs as the managers talk differently / use different language to explain their actions.
Would this be an example of discursive analysis, and if so, is it then inappropriate to refer to if using a IPA methodology?
Many thanks in advance!
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Thank you Antonio, very helpful.
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I am developing a research model because I have identified a dearth of frameworks and models in a specific area. The examiners have requested that I include in the problem statement the absence of guidelines in that specific area. Are there differences between the terms 'guideline,' 'model,' and 'framework' in the context of research, particularly when referring to methodologies and approaches?
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From the viewpoint of scientific methodology Israa Najeeb Zaidan we can state a hierarchy of your mentioned concepts, with respect to the scope of the research context.
Practically speaking, in science we do create models of reality, which should match or reach reality as close as possible. The framework leads to the model, while the guidelines serve as instructions to understand the framework.
This hierarchy of research communication can be read top-down or bottom-up as a circuit with feedbacks to improve the model.
_________
The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work - that is correctly to describe phenomena from a reasonably wide area. Furthermore, it must satisfy certain esthetic criteria - that is, in relation to how much it describes, it must be rather simple.
John von Neumann
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Hii !! Every one it would be great if you can suggest me links or can let me know about reflective methodology and thematic analysis in research ?
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I agree with David L Morgan to a certain extent. 'Reflective methodology' is rare or only used in a specific context. Rashika Shukla, it would be helpful if you could provide a reference for this notion.
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The materials science dissertation did not conduct experimental studies. What is the name and how to search on the Internet for this type of dissertation, in which, for example, they simply applied some method or developed some approach, but did not directly experiment, for example, to change the structure, did not create any materials, substances and etc. among the sciences where it is usually required to do this (materials science, chemistry)? Give examples of such dissertations. Thank you!
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In the field of materials science or chemistry, dissertations that focus on theoretical or computational approaches rather than experimental studies are often referred to as "computational", "theoretical", or "simulation-based" dissertations. These types of dissertations primarily rely on modeling, simulation, data analysis, and computational methods to investigate and understand materials properties, phenomena, or processes.
To search for such dissertations on the internet, you can try the following approaches:
  1. University repositories: Many universities have online repositories where they store and provide access to their students' dissertations. Visit the websites of universities known for their materials science or chemistry programs and search their repositories using keywords like "computational materials science dissertation" or "theoretical chemistry dissertation".
  2. Academic search engines: Utilize academic search engines like Google Scholar, Scopus, or ResearchGate to search for dissertations related to computational or theoretical approaches in materials science or chemistry. Use relevant keywords and filters to narrow down your search results.
  3. Scientific journals and conference proceedings: Explore scientific journals and conference proceedings in the field of materials science or chemistry. Look for articles or papers that present theoretical or computational studies and check if they mention a corresponding dissertation. Often, authors include a reference to their dissertation in the paper's acknowledgments or author information.
  4. Collaborative research platforms: Platforms like Materials Project (materialsproject.org), which you mentioned earlier, host research articles and dissertations centered around computational materials science. Check their resources or publications sections to find dissertations or theses that align with your interests.
  5. Professional societies and associations: Visit the websites of materials science or chemistry professional societies and associations. They may provide access to published dissertations or maintain databases of member dissertations that cover various topics, including computational or theoretical approaches.
Remember that the availability of full dissertations may vary depending on the institution's policies and the author's preferences. In some cases, you may find abstracts or summaries that provide an overview of the dissertation's topic, methodology, and findings.
Here are a few examples of dissertations that focus on computational or theoretical approaches in materials science or chemistry:
  • "Computational Study of [specific topic] in Materials Science" (Author's Name, University)
  • "Theoretical Investigation of [specific phenomenon] in [material/system]" (Author's Name, University)
  • "Development and Application of [specific method/model] in Materials Science" (Author's Name, University)
Remember to replace [specific topic], [specific phenomenon], [material/system], [specific method/model], and (Author's Name, University) with relevant keywords and actual names.
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Methodology of developing language reflection of philology students - this is the theme of my dissertation work. So now I have been writing the last chapters. I need some information about new methods on how to reflect the students linguistic peculiarities.
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Dear Assel,
which methods on reflection have you used so far? What language peculiarities do you have in mind?
Kind regards,
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Hello,
Greetings. I would like to measure the recovery percentage of the organic pollutants by spiking the samples with certain working standard concentrations. My samples were air dried and homogenized prior to extraction for GC. How do I spike the sediment samples? Should I directly add standard solution in the dried sediments and then follow the extraction procedure? Or by adding water with the dried sediments along with standard solution and let it air dried before following the extraction procedure?
Thanks for your time and consideration. I am looking forward to your insightful answers.
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You also need to consider whether the compounds are likely to chemically or biologically degrade between spiking and extraction
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Greetings,
Hello everyone, I designed a boat hull in Catia V5. I want to define ply sequence and direction for that structure. I did lots of research but I couldn't find the appropriate solution for defining the fiber direction for that part.
Is there any particular methodology to define the ply sequence and direction for a give composite part to achieve desired mechanical properties.
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This refers to the way individual fibers are arranged to facilitate optimal structural arrangement in a fiber-reinforced polymer composite.
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Seeking insights into the forefront of agricultural extension research, this question aims to explore the novel methodologies that have recently emerged in the field.
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Participatory Approach:
For the fact that indigenous people so much believe on their local knowledge or traditional knowledge which for decades have been enabling them make ends living, Agricultural Extension it self can't make progress except both farmers and researchers work together for a common goal, that's the emerging method that can be used to achieve a set goal.
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Hello!
I am validating an adapted tool which suposly has 4 factors. The EFA agrees with it, but the CFA show bad fit indices (to make it work I need to free 3 items). Why is this happening? is it correct to fere this much items (scale has 14 items).
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Hi,
Are you using same sample for EFA and CFA?
Regards,
Dr Uday Bhale
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My article focuses on the changes in Land surface temperature, vegetation, and waterbodies over a long time in an area by using Landsat and Modis data with a new methodology.
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#Remote Sensing of Environment (Recommended) (link: https://www.sciencedirect.com/journal/remote-sensing-of-environment)
#Journal of Remote Sensing (in partnership with science) (link: https://spj.science.org/journal/remotesensing)
Access the link and find out if there is any other: https://www.gisvacancy.com/remote-sensing-journals/
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Dear community,
I am planning on conducting experiments for which I need to obtain a plasma-free platelet suspension from an aliquote of a platelet concentrate. Do you now any methodology/protocol that allows for washing without extensive cell activation? I need the cells to be a "functional" as possible.
Yours sincerely,
Michael
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Platelet washing is very much needed not only for research purposes but also for preventing some transfusional reactions like anaphylaxis, fever etc. Human platelet-rich plasma(PRP) prepared from blood collected in tri-sodium citrate might face its aggregation owing to lower ionic calcium concentration. To get rid of this, isolation and washing of platelet is done with acid-citrate-dextrose solution and the washed platelet cells are suspended in a buffer solution containing 2mM calcium ion solution.
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i want to deduce the right methodology to understand reform impact on compliance behaviors and tax collection.
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Dear Abdul Rahim, if I understand, you want to measure the impact of reforms on either behavior and/or revenue impact.
If that is the case, I think the final target of the reform should be measured against the counterfactual. For instance, if the reform was on VAT, say e-invoicing in the whole tax system, I think the simplest method would be to gather total VAT payments maybe a year (depending on when you want to measure) and then compare with VAT payment before the reform, to check % increase.
Same with behaviour, for EG, how many people used to file returns before the last date on average, and how many used to default, after the reform was introduced. With such available data, i think it is easier to measure the impact of such reform on overall compliance. You can also plot on a timeline graph for better visualisation. Hope this helps.
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Hi, all
First of all, thank you so much for reading my question.
I am writing a manuscript, scoping review paper that includes quantitative, qualitative, and mixed method articles.
As methodological limitations, I have to describe drawbacks and solutions due to reviewing qualitative, mixed, and quantitative studies in one study.
In other words, I want to address the limitation and advantages of collecting and reviewing papers based on various research methods.
I need experienced researchers' precious opinions and thoughts.
Thank you so much for your comments in advance.
Jung
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When reviewing qualitative, quantitative, and mixed method studies in one study, methodological limitations can include differences in data collection methods, differences in data analysis methods, and differences in the quality of the studies.
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I need a methodological way to analyse an thesis or aticle
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Critically analyzing a literature review in a thesis or article involves carefully examining and evaluating the information presented to assess its quality, relevance, and credibility.
Here are some steps and considerations to help you conduct a thorough critical analysis:
  1. Understand the Research Objective: Begin by understanding the research objective or main question that the literature review aims to address. This will provide you with context and help you evaluate whether the review is relevant to the research topic.
  2. Evaluate the Literature Search Process: Check whether the literature review includes a comprehensive and well-documented search strategy. A good literature review should cover a broad range of relevant sources and should not be limited to a few select papers.
  3. Assess Source Credibility: Evaluate the credibility of the sources cited in the literature review. Look for peer-reviewed journal articles, reputable books, and reports from reliable organizations. Assess the authority and expertise of the authors and the publication venue.
  4. Check for Currency: Consider the publication dates of the sources cited. A strong literature review should include recent research to ensure the information is up-to-date.
  5. Examine the Scope of Coverage: Determine whether the literature review covers a wide range of perspectives and relevant studies. It should not be biased towards supporting a specific argument or viewpoint.
  6. Identify Gaps in the Literature: Look for gaps in the literature that the review may have missed. A good literature review should identify areas where further research is needed or highlight contradictions and debates in the existing literature.
  7. Analyze the Organization and Structure: Consider how the literature review is organized. Is the information presented in a logical and coherent manner? Does it provide a clear overview of the research area and the progression of ideas?
  8. Evaluate the Quality of Analysis: Assess the depth and critical analysis of the sources included in the review. Does the author synthesize and critique the literature, or is it merely a summary of previous studies?
  9. Identify Biases or Limitations: Look for potential biases or limitations in the literature review. Consider whether the author acknowledges and addresses these limitations.
  10. Consider the Overall Contribution: Assess the contribution of the literature review to the research or field. Does it provide valuable insights, connections, or frameworks for understanding the topic?
  11. Check for Proper Citations and References: Ensure that the literature review provides accurate and complete citations for all sources. Cross-reference the citations with the reference list to confirm their accuracy.
  12. Look for Consistency with the Thesis or Article: Verify whether the literature review aligns with the overall theme and arguments presented in the thesis or article. It should support and contribute to the main research objectives.
By following these steps and considering these factors, you can critically analyze a literature review to determine its strengths, weaknesses, and overall value to the research or academic work. Remember to approach the analysis with an open mind and avoid any personal biases or preconceived notions about the topic.
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Let's discuss about whether you will prefer this methodology while writing a research paper or choose to modify/include/exclude any section or subsection from this methodology below.
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It's an integral part of research which set of methods an individual has adapted to go for grounded theory means no methods but try some experiments to discover some things. Somehow, it good to stick on method to understand the boundaries of research.
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My Awesomest Network, I have a methodological question. Should a scope of Ph.D. dissertaiton be maximally broad and wside in mentioned field of subject or rather be focused on deepening of very precise and tight problrems in detailed field?
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I believe it should be focused as this will bring a solution to the research problem
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The QCA (qualitative comparative analysis)method is a very popular qualitative research method. Now we are going to do a case study on a company and we can use 8 of its projects as sub-cases.
Question: Is the QCA methodology applicable to a single case study of this company?
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Dear Frank,
as long as you have at least two cases that differ on at least one exogenous variable and one endogenous variable, you can use QCA (Thiem 2014, 2022). As long as you have this minimal degree of variation on your 8 cases, you should be fine.
Best wishes
Alrik
References
Thiem, Alrik. 2014. "Navigating the Complexities of Qualitative Comparative Analysis: Case Numbers, Necessity Relations, and Model Ambiguities." Evaluation Review 38 (6):487-513.
Thiem, Alrik. 2022. "Qualitative Comparative Analysis (QCA)." In Handbook of Research Methods in International Relations, ed. R. J. Huddleston, T. Jamieson and P. James. Cheltenham: Edward Elgar. Open access at: