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Reliability - Science topic
Explore the latest questions and answers in Reliability, and find Reliability experts.
Questions related to Reliability
The article "Validity and Reliability of Measurement Instruments Used in Research" by Carole L. Kimberlin and Almut G. Winterstein emphasizes the importance of reliability and validity in research instruments for accurate and consistent data collection. It emphasizes the development and validation process, reliability estimates, validity, responsiveness to change, and data accuracy, particularly in healthcare and social science research, where accurate and reliable instruments are crucial for quality research.
Actually as I searched about, there are two major method in determining hydrogen peroxide concentration, one is titration with sodium thiosulfate and other is titration with permangenate, I wanted to know which of them are more reliable, and what are the pros and cons of each method.
Thanks
If you design a scale specimen to do a seismic experiment. What should you look for to make the experiment reliable?
1.In microscale experiments should you do everything in microscale and the displacement between two points?
2.The models must have the scale within their structure, so that the sub-scale intensity of the earthquake causes corresponding sub-scale displacements that agree with elastic theory ?
If anyone knows the rules of microscale seismic experiments it would be very useful for me to know them. Thanks a lot!
Hi dear researchers!
Could you please tell me what are the main reliable journals with articles that are talking about groundwater quality, isotopic analysis and salinity?
Thank you in advance
Can we stop global climate change? Does human scientific power reach the world's climate change? How do researchers respond?
As you know, humans are very intelligent and can predict the future climate of the world with hydrology, climatology and paleontology. But don't countries, especially industrialized countries, that produce the most harmful gases in the earth's atmosphere and think about the future of the earth's atmosphere? Do they listen to the research of climatologists? What would have to happen to force them to listen to climate scientists?
Miloud Chakit added a reply
Climate change is an important and complex global challenge, and scientific theories about it are based on extensive research and evidence. The future path of the world depends on various factors including human actions, political decisions and international cooperation.
Efforts to mitigate and adapt to climate change continue. While complete reversal may be challenging, important steps can be taken to slow progression and lessen its effects. This requires global cooperation, sustainable practices and the development and implementation of clean energy technologies.
Human scientific abilities play an important role, but dealing with climate change also requires social, economic and political changes. The goal is to limit global warming and its associated impacts, and collective action at the local, national, and international levels is essential for a more sustainable future.
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Osama Bahnas added a reply
It is impossible to stop global climate change. The human scientific power can not reach the world's climate change.
Borys Kapochkin added a reply
Mathematical models of increasing planetary temperature as a function of the argument - anthropogenic influence - are erroneous.
Alastair Bain McDonald added a reply
We could stop climate change but we won't! We have the scientific knowldge but not the political will. One could blame Russia and China from refusing to cooperate but half the population of the USA (Republicans) deny climate change is a problem and prefer their profligate life styles reply:
All climate change has been loaded on the CO2 responsible for the greenhouse effect. Therefore, there must be scientific experiments from several independent scientific institutes worldwide to find out what the greenhouse impact is on various CO2 concentrations. Then, there must be a conference from a reliable, professional organization with the participation of all independent scientific institutions to establish standards on CO2 concentrations and propose political actions accordingly.
The second action that can be done is to plant as many trees and plants as possible to breathe the CO2 and free the oxygen. Stop any deforestation and plant trees immediately in any bunt areas.
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Effect of Injecting Hydrogen Peroxide into Heavy Clay Loam Soil on Plant Water Status, NET CO2 Assimilation, Biomass, and Vascular Anatomy of Avocado Trees
In Chile, avocado (Persea americana Mill.) orchards are often located in poorly drained, low-oxygen soils, situation which limits fruit production and quality. The objective of this study was to evaluate the effect of injecting soil with hydrogen peroxide (H2O2) as a source of molecular oxygen, on plant water status, net CO2 assimilation, biomass and anatomy of avocado trees set in clay loam soil with water content maintained at field capacity. Three-year-old ‘Hass’ avocado trees were planted outdoors in containers filled with heavy loam clay soil with moisture content sustained at field capacity. Plants were divided into two treatments, (a) H2O2 injected into the soil through subsurface drip irrigation and (b) soil with no H2O2 added (control). Stem and root vascular anatomical characteristics were determined for plants in each treatment in addition to physical soil characteristics, net CO2 assimilation (A), transpiration (T), stomatal conductance (gs), stem water potential (SWP), shoot and root biomass, water use efficiency (plant biomass per water applied [WUEb]). Injecting H2O2 into the soil significantly increased the biomass of the aerial portions of the plant and WUEb, but had no significant effect on measured A, T, gs, or SWP. Xylem vessel diameter and xylem/phloem ratio tended to be greater for trees in soil injected with H2O2 than for controls. The increased biomass of the aerial portions of plants in treated soil indicates that injecting H2O2 into heavy loam clay soils may be a useful management tool in poorly aerated soil.
Shade trees reduce building energy use and CO2 emissions from power plants
Urban shade trees offer significant benefits in reducing building air-conditioning demand and improving urban air quality by reducing smog. The savings associated with these benefits vary by climate region and can be up to $200 per tree. The cost of planting trees and maintaining them can vary from $10 to $500 per tree. Tree-planting programs can be designed to have lower costs so that they offer potential savings to communities that plant trees. Our calculations suggest that urban trees play a major role in sequestering CO2 and thereby delay global warming. We estimate that a tree planted in Los Angeles avoids the combustion of 18 kg of carbon annually, even though it sequesters only 4.5-11 kg (as it would if growing in a forest). In this sense, one shade tree in Los Angeles is equivalent to three to five forest trees. In a recent analysis for Baton Rouge, Sacramento, and Salt Lake City, we estimated that planting an average of four shade trees per house (each with a top view cross section of 50 m2) would lead to an annual reduction in carbon emissions from power plants of 16,000, 41,000, and 9000 t, respectively (the per-tree reduction in carbon emissions is about 10-11 kg per year). These reductions only account for the direct reduction in the net cooling- and heating-energy use of buildings. Once the impact of the community cooling is included, these savings are increased by at least 25%.
Can Moisture-Indicating Understory Plants Be Used to Predict Survivorship of Large Lodgepole Pine Trees During Severe Outbreaks of Mountain Pine Beetle?
Why do some mature lodgepole pines survive mountain pine beetle outbreaks while most are killed? Here we test the hypothesis that mature trees growing in sites with vascular plant indicators of high relative soil moisture are more likely to survive mountain pine beetle outbreaks than mature trees associated with indicators of lower relative soil moisture. Working in the Clearwater Valley of south central British Columbia, we inventoried understory plants growing near large-diameter and small-diameter survivors and nonsurvivors of a mountain pine beetle outbreak in the mid-2000s. When key understory species were ranked according to their accepted soil moisture indicator value, a significant positive correlation was found between survivorship in large-diameter pine and inferred relative high soil moisture status—a finding consistent with the well-documented importance of soil moisture in the mobilization of defense compounds in lodgepole pine. We suggest that indicators of soil moisture may be useful in predicting the survival of large pine trees in future pine beetle outbreaks. Study Implications: A recent outbreak of the mountain pine beetle resulted in unprecedented levels of lodgepole pine mortality across southern inland British Columbia. Here, we use moisture-dependent understory plants to show that large lodgepole pine trees growing in sites with high relative moisture are more likely than similar trees in drier sites to survive severe outbreaks of mountain pine beetle—a finding that may be related to a superior ability to mobilize chemical defense compounds compared with drought-stressed trees.
Can Functional Traits Explain Plant Coexistence? A Case Study with Tropical Lianas and Trees
Organisms are adapted to their environment through a suite of anatomical, morphological, and physiological traits. These functional traits are commonly thought to determine an organism’s tolerance to environmental conditions. However, the differences in functional traits among co-occurring species, and whether trait differences mediate competition and coexistence is still poorly understood. Here we review studies comparing functional traits in two co-occurring tropical woody plant guilds, lianas and trees, to understand whether competing plant guilds differ in functional traits and how these differences may help to explain tropical woody plant coexistence. We examined 36 separate studies that compared a total of 140 different functional traits of co-occurring lianas and trees. We conducted a meta-analysis for ten of these functional traits, those that were present in at least five studies. We found that the mean trait value between lianas and trees differed significantly in four of the ten functional traits. Lianas differed from trees mainly in functional traits related to a faster resource acquisition life history strategy. However, the lack of difference in the remaining six functional traits indicates that lianas are not restricted to the fast end of the plant life–history continuum. Differences in functional traits between lianas and trees suggest these plant guilds may coexist in tropical forests by specializing in different life–history strategies, but there is still a significant overlap in the life–history strategies between these two competing guilds.
The use of operator action event trees to improve plant-specific emergency operating procedures
Even with plant standardization and generic emergency procedure guidelines (EPGs), there are sufficient dissimilarities in nuclear power plants that implementation of the guidelines at each plant must be performed in a manner that ensures consideration of plant-specific design features and operating characteristics. The use of operator action event tress (OAETs) results in identification of key features unique to each plant and yields insights into accident prevention and mitigation that can be factored into plant-specific emergency procedures. Operator action event trees were developed as a logical extension of the event trees developed during probabilistic risk analyses. The dominant accident sequences developed from a plant-specific probabilistic risk assessment represent the utility's best understanding of the most likely combination of events that must occur to create a situation in which core cooling is threatened or significant releases occur. It is desirable that emergency operating procedures (EOPs) provide adequate guidance leading to appropriate operator actions for these sequences. The OAETs provide a structured approach for assuring that the EOPs address these situations.
Plant and Wood Area Index of Solitary Trees for Urban Contexts in Nordic Cities
Background: We present the plant area index (PAI) measurements taken for 63 deciduous broadleaved tree species and 1 deciduous conifer tree species suitable for urban areas in Nordic cities. The aim was to evaluate PAI and wood area index (WAI) of solitary-grown broadleaved tree species and cultivars of the same age in order to present a data resource of individual tree characteristics viewed in summer (PAI) and in winter (WAI). Methods: All trees were planted as individuals in 2001 at the Hørsholm Arboretum in Denmark. The field method included a Digital Plant Canopy Imager where each scan and contrast values were set to consistent values. Results: The results illustrate that solitary trees differ widely in their WAI and PAI and reflect the integrated effects of leaf material and the woody component of tree crowns. The indications also show highly significant (P < 0.001) differences between species and genotypes. The WAI had an overall mean of 0.91 (± 0.03), ranging from Tilia platyphyllos ‘Orebro’ with a WAI of 0.32 (± 0.04) to Carpinus betulus ‘Fastigiata’ with a WAI of 1.94 (± 0.09). The lowest mean PAI in the dataset was Fraxinus angustifolia ‘Raywood’ with a PAI of 1.93 (± 0.05), whereas Acer campestre ‘Kuglennar’ represents the cultivar with the largest PAI of 8.15 (± 0.14). Conclusions: Understanding how this variation in crown architectural structure changes over the year can be applied to climate responsive design and microclimate modeling where plant and wood area index of solitary-grown trees in urban contexts are of interest.
Do Exotic Trees Threaten Southern Arid Areas of Tunisia? A Case Study Indian Journal of Ecology (2020) 00(0): 000-000 Plant-plant interactions
an afforested steppe planted This study was conducted in with aims to compare the effects of exotic and native Stipa tenacissima trees (and , respectively) on the understory vegetation and soil properties. For each tree species, two sub-Acacia salicina Pinus halepensis habitats were distinguished: the canopied sub-habitat (under the tree crown) and the un-canopied sub-habitat (open grassland). Soil moisture was measured in both sub-habitats at 10 cm depth. In parallel to soil moisture, investigated the effect of tree species on soil fertility. Soil samples were collected from the upper 10 cm soil, excluding litter and stones. The nutrient status of soil (organic matter, total N, extractable P) was significantly higher under compared to and open areas. This tendency remained constant with the soil water A. salicina P. halepensis content which was significantly higher under trees compared to open sub-habitats. For water content, there were no significant differences between studied trees. Total plant cover, species richness and the density of perennial species were significantly higher under the exotic species compared to other sub-habitats. Among the two tree species, had the strongest positive effect on the understory Acacia salicina vegetation. It seems to be more useful as a restoration tool in arid areas and more suitable to create islands of resources and foster succession than the other investigated tree species.
Effects of Elevated Atmospheric CO2 on Microbial Community Structure at the Plant-Soil Interface of Young Beech Trees (Fagus sylvatica L.) Grown at Two Sites with Contrasting Climatic Conditions
Soil microbial community responses to elevated atmospheric CO2 concentrations (eCO2) occur mainly indirectly via CO2-induced plant growth stimulation leading to quantitative as well as qualitative changes in rhizodeposition and plant litter. In order to gain insight into short-term, site-specific effects of eCO2 on the microbial community structure at the plant-soil interface, young beech trees (Fagus sylvatica L.) from two opposing mountainous slopes with contrasting climatic conditions were incubated under ambient (360 ppm) CO2 concentrations in a greenhouse. One week before harvest, half of the trees were incubated for 2 days under eCO2 (1,100 ppm) conditions. Shifts in the microbial community structure in the adhering soil as well as in the root rhizosphere complex (RRC) were investigated via TRFLP and 454 pyrosequencing based on 16S ribosomal RNA (rRNA) genes. Multivariate analysis of the community profiles showed clear changes of microbial community structure between plants grown under ambient and elevated CO2 mainly in RRC. Both TRFLP and 454 pyrosequencing showed a significant decrease in the microbial diversity and evenness as a response of CO2 enrichment. While Alphaproteobacteria dominated by Rhizobiales decreased at eCO2, Betaproteobacteria, mainly Burkholderiales, remained unaffected. In contrast, Gammaproteobacteria and Deltaproteobacteria, predominated by Pseudomonadales and Myxococcales, respectively, increased at eCO2. Members of the order Actinomycetales increased, whereas within the phylum Acidobacteria subgroup Gp1 decreased, and the subgroups Gp4 and Gp6 increased under atmospheric CO2 enrichment. Moreover, Planctomycetes and Firmicutes, mainly members of Bacilli, increased under eCO2. Overall, the effect intensity of eCO2 on soil microbial communities was dependent on the distance to the roots. This effect was consistent for all trees under investigation; a site-specific effect of eCO2 in response to the origin of the trees was not observed.
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Michael Senteza added a reply:
We have to separate science from business and politics in the first place , before we can adequately discuss the resolution of this global challenge .
The considerations to global warming can be logically broken down in the following
1. What are the factors that have affected the earths climate over the last million years ? 100,000 years , 10,000 years and 1,000 years .
2. Observations , the climatic changes , formations , and archaeological data to support the changes
3. The actualities of the earth dynamics , for example we know that approx 2/3 of the earth is water and we also know that of the 1/3 we have approximately 60% un inhabitable , and the 40% habitable has approximately 10% who contribute to the alleged pollution , where for example as of 2022 (https://www.whichcar.com.au/news/how-many-cars-are-there-in-the-world) The US had 290 Million cars compared to Africa (50+ Countries ) 26 Million cars the EU (33 + countries ) 413 million cars then Asia pacific with 543 Million cars ( with a population of close to 2 billion ) . We estimate that as of may there are 1.45 billion cars . this means that North America , Western Europe and Asia pacific combined have approx 1.3 billion cars , and yet close to 70% of vegetation cover and forest space is concentrated in africa , south america , northern europe and canada. we need to analyse this
4. We need to also analyse the actualities of the cause separating factors outside our reach , for example global worming as opposed to climate change . We know that climate change which has been geologically and scientifically observed to have been the reason things like Oil came into place , species became extinct and other formations created . We need to realise that a fair share of changes in climate (which some times may be confused with global worming ) have been due to changes in the earth's rotation , axis and orbit around the sun . These are factors that greatly affect the distribution of the sun's radiation on to the surface of the earth and the atmospheric impact , them make consideration of how much we produce , the dispersion rate , natural chemical balances and volumetric analysis of concentration , assimilation and alteration of elements .
5. The extent to which non scientific factors are contributing to attenuating strength of scientific argument . It is not uncommon to have politicians alter the rhetoric to serve their agenda , however it's even worse when the sponsors of the scientific research are intent on achieving specific goals and not facts .
In conclusion humans are intelligent enough to either end of mitigation the impact of global worming if it can be detached from capitalism and politics . Science can and will provide answers
Sunil Deshpande added a reply:
World‘s scientific power is doing its best to stop the global climate change. For example , alternatives to Petrol, cement, plastic are already identified and once they are consumed by many, it will have a positive impact to stop the climate change. However, to my mind, its not sufficient unless citizen of every country also contribute in his own way to stop climate change such as stopping the use of plastic, use of electric car against Petrol, stopping the engine of car at traffic signal. It should become a global movement to protect the climate.
In my research, I have 11 multiple-choice questions about environmental knowledge, each question with one correct option, three incorrect options, and one "I don't know" option (5 options in total). When I coded my data into SPSS (1 for correct and 0 for incorrect responses) and ran a reliability analysis (Cronbach's Alpha), it was around 0,330. I also ran a KR20 analysis since the data is dichotomous but still not over 0,70.
These eleven questions have been used in previous research, and when I checked them, they all stated a reliability over 0,80 with a similar sampling to the sampling of my research. This got me thinking whether I was doing something wrong.
Low reliability might be caused by each question measuring knowledge from different environmental topics? If this is the case, do I still have to state its reliability when using the results in my study? For example, I can give correct and incorrect response percentages, calculate the sum points, etc.
Thank you!
H-INDEX & CITATION EVALUATIONS OF ACADEMICIANS, HOW MUCH RELIABLE !?
These terms are all related to the evaluation of research instruments, particularly surveys and questionnaires. Here's a breakdown of each:
Cronbach's alpha (α): This is a widely used statistic to assess the internal consistency or reliability of a test or scale. It essentially measures how closely related the items in your survey are to each other. High Cronbach's alpha indicates that the items are all measuring the same underlying concept and provide consistent results.
Average Variance Extracted (AVE): This statistic is used to assess the convergent validity of a construct in a structural equation model (SEM). Convergent validity shows how well the indicators (survey questions) represent the underlying construct they are intended to measure. A high AVE value suggests that a greater proportion of the variance in the indicators is due to the intended construct, rather than measurement error.
Composite Reliability (CR): Similar to Cronbach's alpha, CR is another measure of internal consistency in the context of SEM. It reflects the reliability of the composite score derived from multiple indicators. A high CR value indicates that the composite score is a reliable estimate of the underlying construct.
Certainly! Here's a refined version of your question:
"I've been encountering challenges downloading and reading journal articles. Despite some being accessible through Sci-Hub using their DOI numbers, there are still many that remain unavailable. Is there any reliable solution to overcome this issue?"
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
Prior to the research carried out by the research group who published this journal, they assessed HDV RNA detection's diagnostic efficacy utilizing the HDV RNA detection technique and discovered that it had a good diagnostic yield. However, HDV serology's diagnostic effectiveness hasn't been thoroughly assessed and documented, thus, the need to consider the factors needed in developing a reliable serological test for HDV antibodies.
Although Sysmex DI-60 is a fully automated analyzer, further understanding and analytical processes to ensure the reliability of its functionality are needed concerning the factors and their impact on its sample quality or preparation.
With this, what is the impact of sample quality or preparation variations on the accuracy and consistency of red blood cell morphology characterization by the DI-60 analyzer?
Any suggestions would be greatly appreciated.
We would like to buy a new cell counting device for our Lab, and we're searching for a device, with a reasonable price. However, we're not sure about the reliability and the reproducibility of the results using different devices, including Logos LUNA II, Thermofisher Countess II, Biorad TC20, etc.
personally, I've used LUNA II with their 2-chamber slides and I was happy with the repeatability. Also I've used Countess II with reusable slides which was not a satisfactory experience. But I can't make a decision between the two as they were not both with single-use chamber slides.
I would appreciate if anyone can provide a head-to-head comparison, or device-to-hemocytometer comparison, or at least share their device reliability experience?
Many thanks.
Machine learning can be used for prediction of antibiotic resistance in healthcare setting. The problem is that most hospitals do not have electronic health records. Datasets need to be large to make models reliable. I need a dataset with minimum of 1000 records. Kindly assist
Hello,
I'm seeking recommendations for safe and reliable software to anonymize CT scan images for research.
While DICOMCleaner has been our go-to for removing DOB, names, and other PHI, it's become outdated and prone to frequent crashes. Your suggestions would be greatly appreciated.
Thank you in advance.
Are there investors on the forum?
The theory of the Genesis of earthquakes has been created.
Based on this theory, the main fields, the main forces involved in the development of earthquakes, are determined.
The participation of the same fields in the creation of anomalies and in the creation of the earthquake itself ensures 100% reliability. The low speed of the wave that creates an earthquake ensures high accuracy in determining the location, start and end time, and the strength of a future earthquake.
This makes it possible to save people's lives.
This makes it possible to receive high income by reducing the losses of countries in earthquakes.
This gives sustainable growth through the development of the Global Earthquake Prediction Network.
I did everything I could. No one will ever exceed the number of positive opinions I have received.
It's not because I'm a "genius".
This is because there is no point in creating a collection of positive conclusions. I had to do this because I worked alone.
The institutions of Israel hated me because I am a "Russian Jew" who dared to create a patent.
The Academy of Russia hates me because the Expert Council of the RAS itself recognized my results and recommended starting implementation.
And now what? Everything you need has been created.
People will die in hundreds of thousands because no one wants to implement?
INVESTORS, AU,
DIRECTOR, AU.
Do you want to do something important and useful?
I'm 76 and oncology. Who wants to become a leader and get the knowledge that I have accumulated in 20 years?
the model i use contains independent variable (higher order construct) has three dimension (lower order construct), mediator and dependent variable.
Applying reflective reflective higher order construct, when i assess the measurement model, i run the model twice ? one for lower order construct only, then the other is for higher construct only, and reporting the results of reliability and validity separately ?
and regarding structural model, i also run the model twice as i made in the measurement model ?
Hi,
I am developing Deep learning model(s) for a binary classification problem. The DL works with a reasonable accuracy. Is there a reliable way to extract features from DL models built with 'Keras' pipeline? It seems that the feature contribution are distributed among several layers.
Thank You,
Partho
Dear All,
I'm doing protein-ligand docking using AutoDock Vina and analyzed interaction between protein and ligand using Protein-Ligand Interaction Profiler (PLIP). i want to know is there any relationship between number of hydrogen and hydrophobic interactions to the binding affinity? could anyone please recommend me any reliable source or article or book to read about protein ligand interactions and their effect on affinity?
Dear network, I am looking for a reliable and fast lab for geochemical analyzes for bulk rock (major and trace elements).
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.
- Composite reliability above 0.6, Cronbach's alpha above 0.6, and AVE above 0.5 are present simultaneously. Is this acceptable? Please share valid references to cite the same content."
- "Rho_c is above 0.7, and rho_a is 0.5 or 0.6. In this case, can rho-c be used? Please share valid references to cite the same content. Is it necessary to provide a special explanation in the article?"
Is this technology reliable? How can they provide this nutrient status based on a infra red spectrometer?
Thanks
is there a reliable source to defend authors' rights in journals Infractions?
With studies moving online, it would be great to know about any reliable and valid online IQ tests. Using online tests of IQ could be essential in the current COVID-19 situation.
What are the best articles/reports on incels which I can use for my master's course? I am going to include incels in my curriculum and looking for reliable pieces. Thank you for your help.
I am checking if there any systematic differences in physical activity among different income group and education level for my masters’ thesis. The physical activity has been assessed through questionnaire in a municipality and taken three different dimensions (intensity, duration and frequency). I wonder if there is any way to integrate all three dimensions to make one new variable which could provide more reliable value for physical activity. If not possible and I have to select only one measure which one could be more reliable.
I am doing molecular docking of the molecules that I synthesize and I am wondering how many poses would be necessary. I am doing this in maestro with glide and in the beginning by default I put 10 poses, but why not 50 poses. What would be the reason to get 50 poses instead of 10 or to get 100 poses instead of 50 ?
How can you ensure that alternative and innovative assessment methods are reliable?
Dear Friends,
I am searching for an accurate and reliable software tool that can detect whether a given text has been generated by an AI or written by a human. If anyone knows of such tools, whether free or subscription-based, please recommend them.
Thank you very much indeed.
what can we say is the the Impact of Renewable Energy Integration on Grid Reliability in Nigeria , with examples and possible solution
As part of the project we are currently working on, "Social and Motivation Effects of Virtual Reality in Distance Education," we are looking for a reliable data source for a database of distance education (fully online, not blended) in Europe.
We are specifically looking for databases from reliable sources of individual EU countries (e.g., from the Ministry of Education), providing data on universities offering distance education (university name; name of the study program/field; type of study like bachelor's, master's, doctoral; language of instruction; duration of study, etc.
We would be very grateful for any provided source or advice.
After pandemic we lost our tip provider and we tested few alternatives however we did not find any reliable substitute? Can you please share the ones you find suitable?
Thank you
Is being highly cited in research publications mean that you are a reliable and honest person?
Does anyone have experience of Eurasia Research as an invited keynote speaker? How credible is such an invitation? What conditions should I expect? How reliable are they?
I do not know this organisation. I am sceptical, but would like to look into the matter.
I am conducting research on the effects of residential environments on mental, physical, and social health. In my questionnaire, mental, physical, and social health are measured by three separate scales, and some of the questions in the residential environment are also measured by the scales. So, when I conduct the validity test (exploratory factor analysis), should I test the validity of these four scales together. Or should I divide them into Mental Health, Physical Health, Social Health and Residential Environment and conduct four separate validity tests?
Also, my questions on residential environment are actually divided into three dimensions: indoor, outdoor, and physical environment. However, each question actually corresponds to one independent variable, rather than synthesizing one independent variable through multiple questions, and the questions within these three dimensions are not actually very correlated. So instead of analyzing the three dimensions separately, can I just analyze the entire living environment for reliability?
Reply in sense of current trends among researchers
If I already have the Cronbach's alpha, Composite reliability (rho_a), and Composite reliability (rho_c) for the subcategories of a questionnaire, which formula can I use to estimate the Cronbach's alpha for the entire questionnaire? Thank you.
Which of the measurement of reliability is more preferable in Smart-pls between Cronbach Alpha and Composite Reliability?
This question is looking for detailed, actionable advice on leveraging statistical tools in quantitative research to yield more reliable and accurate outcomes.
After confirming the reliability of these 30 people, should we collect their questionnaire with the sample size?
Can we believe the information from public opinion surveys, even though it might not always be completely accurate?
Explore the fundamental mechanism of the TCP/IP three-way handshake and its role in establishing a reliable connection. Seeking insights into its importance for data integrity and network communication.
A multidiscipline 'reliability physics' concept has risen during 4th quarter of 20th century with an aim to maximise product yield and reliability. It has developed on the basis of process technology, physics, electronics, chemistry, materials science and environmental science. Reliability physics acts as 'midwife' for the development of better or new device and/or technology.
The course can cover the following topics:
1. Tests and Measurement Concepts
2. Influence of Environmental Factors
3. Environmental Stress Testing Techniques
4. Materials Characterisation Techniques
5. Process Monitoring
6. Failure Analysis
7. Reliability Prediction
(Quantification of reliability model is done
by mathematical model, which in turn is
based on distribution functions etc.)
8. Approach of Reliability Physics
(as per concluding section, Figure 7 of the
following Reference:
S.U.M.Rao, Reliability Physics of Electronic
Devices Through Material Characterization
and Environmental Stress Testing
Techniques, Microelectron. Reliab.,
34(1994) 229-245. )
Hello RG Family! In my transition to qualitative research, I’m confronted with the challenge of validating qualitative interviews.
From my knowledge of quantitative research, I’m well aware that Principal Component Analysis and Cronbach’s Alpha methods are popular for validity and reliability of Likert-scaled questionnaires. But in the case of qualitative interviews, the arena is different. That’s why I need your help.
From your wealth of experience with qualitative research, please describe the most effective methods for carrying out validity and reliability of qualitative interviews. And which software is suitable for this procedure?
Your contributions will be immensely appreciated. Thank you.
paper article or reliable information.
Railway Action Reliability Assessment is a technique for quantifying human performance. The technique has been developed to support the consideration of human performance in the railway context, particularly for quantified risk assessments.
How can researchers effectively integrate qualitative and quantitative methods in a mixed-methods research design to enhance the validity and reliability of their findings?
Hello everyone,
I ran a qPCR and while my melting point is 62 degree, I set the annealing temperature to 60 degree.
Although I got some good amplification but the melt curve shows that my qPCR has average Tm of 85 degree.
What does this mean? And is my amplification plot reliable with this high Tm?
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.
Any good paper reference will be highly appreciated!
Many Thanks in Advance!
I am in a kind of dilemma between picking stratified sampling and convenience sampling techniques for my purely quantitative research. I am fully aware of convenience sampling being a non-probability sampling technique but is there a room I can use convenience sampling?
Does anyone recommend an inexpensive and reliable software for animal behavior video recording?
I'm looking for a digital video recording software that can receive external hardware signal like 5V TTL pulse to trigger START/STOP of the camera. Therefore, the video can synchronize with other data acquisition software. Thank You!
With freshwater supplies under increasing strain, some have suggested utilizing desalination to provide water for agriculture. Desalination, the removal of salts from saline water to provide freshwater, could offer a drought-proof water source if scaled up significantly. However, desalination remains controversial due to its high costs and energy demands. I pose the question – should there be increased investment in desalination to supply water for agriculture?
Those in favor may argue that the technology has improved dramatically, leading to lower costs, and that combining desalination with renewable energy sources like solar or wind could reduce environmental impacts. Securing a reliable water source could allow expansion of agriculture and food production. However, critics note that even with technical advances, desalination remains energy intensive. The concentrate byproduct may also negatively impact marine ecosystems if not disposed of properly.
There are also concerns regarding how the high costs of desalination could affect food affordability and farmers' livelihoods. Careful consideration is needed regarding how increased desalination infrastructure would be financed. I welcome ideas on whether the benefits of supplementing freshwater with desalinated water for agriculture outweigh the costs and externalities. Please share your perspectives on the opportunities and challenges increased desalination could present.
I am student who's going to conduct a research with the title The Impact of the Teacher Preparedness of Inclusive Education Strategies on Student Performance: Implications for Enhanced Student Academic Program. I need someone to help me in my composed survey questionnaire.
Hi, I'm doing scientific research about CO2 emission by countries, I found some websites that have the data I need but I don't know whether it's reliable or not.
How can a researcher ensure that the study results are valid and reliable?
Our research adviser told us to use specified terms for validity and reliability in qualitative research, since he referred to these terms as specific for quantitative research. To my understanding, validity and reliability are also used for qualitative data, but are defined differently.
Hello,
We need some debate about the role of statistics in scientific confirmation.
Thanks
Dr. F CHELLAI
Many LLMS provide the algorithmic rules for generative AI. However, there is still a problem with the transparency and reliability of these LLMs. Higher education has witnessed a decreased adoption of AI which is largely due to many factors including transparency reliability and ethical concerns. Which LLM in your best estimation is best to support AI-enabled Edtech? Consider LLMs like BLOOM, GTP-3, GPT 4.5, CLAUDE, BARD, LaMDA, etc
Hello,
I am trying to construct phylogenetic tree of HIV-1. I downloaded sequences from few neighbor countries from Los Alamos HIV database. After aligning and trimming the length of sequences is usually 722 nucleotides. I can't trim less, because there are a lot of gaps within alignment file. When I construct Maximum Liklehood tree in FastTree or PhyML, the branches look very short. What could be a possible reason for it?
If 722 nucleotides length sequences can be used for constructing reliable phylogenetic tree?
Thank you!
I have solid samples of Rubi and Polimers. I wish to express the concentration in spin/gram but first I must know how to produce a reliable standard.
Dear RG community
I've coded N = 500 professional development courses for teachers according to topics (0 = was not part of the course; 1 = was part of the course). I'd like to have the reliability of my coding checked by a second rater. What is the appropriate measure under these circumstances and how many of the 500 courses would a second rater have to rate?
So far, I've come to the conclusion that Cohen's Kappa may not be the preferred choice, but rather Matthews Correlation Coefficient (MCC). Perhaps even simple percent agreement would be suitable in my case since it's only two raters in total and binary coding? I've been unable to find anything on the minimum sample size.
Any help is greatly appreciated.
Best
Marcel
I desire to know the steps of collecting primary data and secondary and most importantly how to use Q-Slope Classification System to delineate and analyse accurately the stability and instability of engineered or natural slopes. The Q-Slope software installation guide and logistics.
The Q-Slope results reliability and validity as compared to those deduced using Numerical Limit Equilibrium Methods and Slope Stability Assessment Methods(SSAMs).
Dear scientific community,
I am currently working on a content analysis of text material and plan that the entire material is coded by several independent raters. The categories which are assigned to the units of analysis are nominal, so I decided to calculate Krippendorff's Alpha (Hayes & Krippendorff, 2007) for the INTER-rater reliability.
Because each rater should repeat their coding after some weeks, I am currently in search of an appropriate measure for the INTRA-rater reliability. For continuous data there would be several different intraclass correlation coefficients (ICC). For nominal data, I only found a notion to use Cohen's Kappa (or related indices) in a text by Gwet (2008).
Do you have any recommendations concerning a measure of intrarater reliability for nominal data?
Because Krippendorff's Alpha is a generalization of Cohen's Kappa (I think), I thought about using Alpha for interrater as well as intrarater reliability. Would that be reasonable? (I am skeptical because ratings of one single rater at different time points should be less independent than ratings of two different observers at one time point).
Extra question: What do you think would be an appropriate time interval between the two ratings?
Thank you in advance for your answers and your help!
Best,
Daniel
Literature:
Hayes, A. F., & Krippendorff, K. (2007). Answering the Call for a Standard Reliability Measure for Coding Data. Communication Methods and Measures, 1(1), 77-89. DOI: 10.1080/19312450709336664
Gwet, K. L. (2008). Intrarater Reliability. In R.B. D'Agostino, L. Sullivan, & J. Massaro (Eds.), Wiley Encyclopedia of Clinical Trials. https://doi.org/10.1002/9780471462422.eoct631
Are these statistics reliable or not (https://www.ncbi.nlm.nih.gov/books/NBK470262/ , Last Update: April 9, 2023)?
Regards to real life, if someone had a seat belt unstuck, would that be delayed in rescuing the person?
What is the most reliable technique to determine the voltage range for the galvanostatic charge-discharge tests of composite electrodes for Na-ion half and full cells?
In my case, rho_c is 0.7 and above whereas rho_a of some constructs is 0.5 or 0.6. Can I use rho-c in this case if I dont want to remove the items? Please share a valid reference to cite for the same. Regards,
I have been asking women to explain how they achieve orgasm with a lover for years. Very few women ever respond. In fact, men have more to say about female orgasm than any woman does. But even men cannot explain how women are aroused. So how do men think women achieve these orgasms - magic? The fact that female orgasm is a topic for discussion is clear evidence of the mystery surrounding it. No one discusses male orgasm - it occurs reliably. Perhaps because men can explain what arouses them?
The value of Average variance extracted (AVE) is .47 is it acceptable? composite reliability is .9 and alpha value is .888. I only have problem related to AVE as it is less then .5. How can I solve this issue?
Suppose we pilot a first draft of the test on a sample of 300. From the data we will calculate Discrimination value, CVI etc.. and we finalise the items
After that should we have to take data for reliability and validity ? Or we can use the same data?
Kind and warm greetings to all
I'm working on Antifreeze proteins(AFP) that is expressed by Yeast So which method \ assay is more reliable and effective to detect AFP by western blot or ELISA with references ? and why? Kindly if anyone working now or previously on Antifreeze protein can you guide me.
Hi dear
I need reliable software for making 3d models of the face from multiple images for research purposes.
"The value of a degree is in its RELIABILITY: when ill in a foreign country you can bet the MD has minimal competence. Like a driver's license.
HUMANITIES/SOCIAL SCIENCE degrees offer no reliability.
If you don't know what you get, degrees are worthless.
The market punishes BS"(Taleb 2018).
Does strong correlation among the items in survey questionnaire, provides information on validity and reliability of that instrument?
For example. There are five items under a theme" happiness" for survey questionnaire. The item-total correlations for the five items were: 31, .63, .61, .75, and .66, thus, does it provides some information about reliability and validity of the items.
While errors in the extra analytical phases are acknowledged, there is no consensus on the specific indicators and their definitions for monitoring. Existing indicators may need enhancement to incorporate a patient-centric assessment of errors and implement risk management principles for reducing error rates through staff education throughout the entire testing process (TTP). It is crucial for the laboratory to assume accountability for quality management from start to finish, including corrective actions addressing the root causes of errors in the TTP, to instill confidence in patients and other service users. Have there been recent technological advancements for error mitigation in hematology test results?
Source:
De la Salle, B. (2019). Pre‐ and postanalytical errors in Haematology. International Journal of Laboratory Hematology, 41(S1), 170–176. https://doi.org/10.1111/ijlh.13007
Pre- and Post Analytical errors in Hematology
- source: De la Salle, B. (2019). Pre‐ and postanalytical errors in Haematology. International Journal of Laboratory Hematology, 41(S1), 170–176. https://doi.org/10.1111/ijlh.13007
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
If I am using the SHSY5Y cell line to test CNS regeneration, do I have to differentiate it to be more reliable?
if yes, what is the most reliable & applicable protocol?
Also, any hint on the specific CNS regeneration markers to be detected using this particular cell line?
Many thanks.
Catano, V. M., Darr, W., & Campbell, C. A. (2007). Performance appraisal of behavior based
competencies: a reliable and valid procedure. Personnel Psychology, 60(1),
201-230
Hi all, does anyone of you now this website that it is offering courses? Any feedback will be highly appreciated :)
Nano Science & Technology Consortium
Thanks,
José
Assuming I self-developed an instrument which I want to test its reliability and I am to select between these two, which of them will you recommend.
I am actually conscious of the "time interval" issue regarding the use of the former.
I am looking for an accurate PLTP activity assay kit (also for CETP and LCAT). Do you have any experience? which company provider is reliable?
opinion in you reliability of the transaction via the Blockchain ?
The process of formulating research questions and designing methodologies is critical in medical research. As we strive for precision and comprehensive understanding, Artificial Intelligence (AI) tools, especially ones like ChatGPT by OpenAI, are emerging as supportive resources. They have the capability to scan vast amounts of literature swiftly, suggest research gaps based on existing data, and even aid in refining methodologies through data-driven insights.
Question: Do you use Artificial Intelligence tools, such as ChatGPT, when formulating research questions and deciding on research methodologies for your medical studies?
By focusing on "research questions and methodology," we are emphasizing the initial stages of medical research, which involve identifying knowledge gaps, framing precise research questions, and planning the best approaches to obtain valid and reliable data. This can encompass everything from shaping hypotheses based on prior research, designing experiments or observational studies, selecting the appropriate statistical analyses, and determining the best tools and techniques for data collection.
On the above mentioned modelling methods, which one is suitable for protein structure prediction for protein/gene families? Suggest some highly reliable modelling methods and software used for it.
Hello Fellow Researchers,
I'm currently working on identifying senescence markers in both human and mouse primary cells as well as cell lines. My Western blotting attempts using antibodies for P21, p16INK4a, IL-1beta, and IL-6 on Neuro2a and HEK cells have yielded faint and non-specific bands, leading to unreliable results.
I would greatly appreciate any recommendations for reliable antibodies that have been trusted for this purpose. Thank you for your time and assistance.
Best regards, Sara
After running the McDonald Omega in SPSS 28, I regularly get this statement "Omega cannot be estimated due to negative or zero item covariances. This may be due to items needing to be reverse scored, or to violations of model assumption." Because of the violation assumption, we went from Alpha to Omega. Kindly help!!
Is 71 subjects(33 patients and 38 controls) is sufficient to obtain a reliable ROC cure?
I've designed a questionnaire that not only has multiple dimensions, but also multiple criteria, in that every item is rated on multiple criteria, each with a separate rating scale. There are 6 dimensions, with 3 items each, all of which are rated on 4 criteria.
Now the question is how the reliability of such a questionnaire can be assessed. The analyses (internal consistency, factor analysis etc.) could theoretically be done separately for each criterion, but that of course ignores the relation between the criteria, which are all subcomponents of the overall construct. Is there a way to account for this data structure to its full extent?
I'm working on a qualitative study that will include 30 interviews conducted online in Arabic. Can you please recommend reliable transcription software that supports Arabic? It doesn't have to be free
Dear,
I am doing research with ordinal items and wanted to make scales out of them. I am wondering if making sum scores out of my items would be enough to make my research reliable ? and if so, could you prove it with research papers?
Or should I execute.a correlation too?
Hi all, here in Chile we are facing a brutal shortage of consumables of Merck-Sigma-Millipore, specially after the fusion of Merck with Sigma and the pandemia, anyway the thing is that ultra filters from Millipore are taking 6 to 8 months to reach us! and we base many of our projects in ultrafiltration. The question es: do you know of a reliable (trsutable) substitutes for Amicon ultrafilters? Gracias
Please guide how to get reliability engineering-related work of Foreign university professors.
How to address the reviewer's comment that the validation of the dynamic assessment tool is weak which needs to be reworked significantly? Any reliable references confirming the validity of this technique?
Thank you!