Data Analysis - Science topic

I'm currently analysing the results of my survey but I'm encountering the problem that my quantitative data is too similar and I'm not sure how to interpret it.

Does anyone have any advice for me or can recommend any reading about this issue?

Dear colleagues

Could you tell me please,how is it possible to consruct boxplot from dataframe in rstuio

df9 <- data.frame(Kmeans= c(1,0.45,0.52,0.54,0.34,0.39,0.57,0.72,0.48,0.29,0.78,0.48,0.59),hdbscan= c(0.64,1,0.32,0.28,0.33,0.56,0.71,0.56,0.33,0.19,0.53,0.45,0.39),sectralpam=c(0.64,0.31,1,0.48,0.24,0.32,0.52,0.66,0.32,0.44,0.28,0.25,0.47),fanny=c(0.64,0.31,0.38,1,0.44,0.33,0.48,0.73,0.55,0.51,0.32,0.39,0.57),FKM=c(0.64,0.31,0.38,0.75,1,0.26,0.55,0.44,0.71,0.38,0.39,0.52,0.53), FKMnoise=c(0.64,0.31,0.38,0.75,0.28,1,0.42,0.45,0.62,0.31,0.25,0.66,0.67), Mclust=c(0.64,0.31,0.38,0.75,0.28,0.46,1,0.36,0.31,0.42,0.47,0.66,0.53), PAM=c(0.64,0.31,0.37,0.75,0.28,0.46,0.58,1,0.73,0.43,0.39,0.26,0.41) ,

AGNES=c(0.64,0.31,0.37,0.75,0.28,0.46,0.58,0.55,1,0.31,0.48,0.79,0.31), Diana=c(0.64,0.31,0.37,0.75,0.28,0.46,0.58,0.55,0.42,1,0.67,0.51,0.43),

zones2=c(0.64,0.31,0.37,0.75,0.28,0.46,0.58,0.55,0.42,0.45,1,0.69,0.35),

zones3=c(0.64,0.31,0.37,0.75,0.28,0.46,0.58,0.55,0.42,0.45,0.59,1,0.41),

gsa=c(0.64,0.31,0.37,0.75,0.28,0.46,0.58,0.55,0.42,0.45,0.59,0.36,1), method=c("kmeans", "hdbscan", "spectralpam", "fanny", "FKM","FKMnoise", "Mclust", "PAM", "AGNES", "DIANA","zones2","zones3","gsa"))

head(df9)

df9 <- df9 %>% mutate(across(everything(), ~as.numeric(as.character(.))))

Thank you ery much

Dear Experts,

I have a question, I am analyzing data for meta-analysis, is this possible SMD greater than 1 for any study,

I have a study in my data indicate 2 .03 SMD.

Hi!

I want to use the ADL model for my data analysis. However, after performing a stationary test, dependent and 6/8 independent variables are stationary only in differences. The other two are stationary in levels.

Is the cointegration test always necessary?

If so, I found on the Internet that I can only use the Pesaran Bounds test because I have a mix of I(0) and I(1) variables. Is it true? I am not sure.

And how do you perform that test?

Thanks a lot for your suggestions.

AI in research offers tremendous potential, but ethical considerations are crucial. Biases in data or algorithms can lead to discriminatory or unfair results. The "black box" nature of some AI models makes it difficult to understand their reasoning, raising concerns about accountability. Ensuring data privacy, transparency in research methods, and maintaining human oversight are all essential for ethical AI-powered research.

I am studying leadership style's impact on job satisfaction. in the data collection instrument, there are 13 questions on leadership style divided into a couple of leadership styles. on the other hand, there are only four questions for job satisfaction. how do i run correlational tests on these variables? What values do i select to analyze in Excel?

Based on your expertise, which softwares are the best for the data analysis and graphs for the quantitative study of microbial biofilms?, pros & cons?

In the process of drafting a new research article, which structure is most effective? Should one follow the order of Introduction, Materials and Methods, Data Analysis, Results, and Discussion, or is it better to write the Materials and Methods, Results, Discussion first and leave the Introduction for the end? What is the commonly adopted approach by other scholars/researcher around the world?

Hey there!

I want to learn about correlation. I recently worked on a project related to rice genotypic trials, using a one-factorial RCBD design. While I know how to statistically analyze phenotypic and genotypic correlation, I specifically want to learn how to analyze environmental correlation using R. Could anyone help me out?

Thank you in advance. :)

Imagine you join a new research lab and are immediately assigned a dataset that contains the same variables as those in the substance abuse dataset but comprising a new sample. You are told the lab originally collected this data set with one particular research question in mind: “Does satisfaction with life predict health outcomes?” Before doing any statistical tests, you decide to browse through the dataset and make some graphs of the results. It seems to you that in your data, satisfaction with life predicts health outcomes more strongly in males than in females, and on reflection, you can think of several theoretical reasons why that should be the case. You disregard the data on females and investigate the hypothesis that low levels of satisfaction with life (using the “swl” variable) will be positively predictive of mental ill health (using the “psych6” variable) in males. You finally do a statistical test, and obtain a very low p-value (less than .001) associated with the regression coefficient. You write a paper using this single result, concluding that there is strong evidence for your hypothesis.

Question: What is a term for the practice that you are engaging in?

Is this practice a p-hacking or the garden of forking path?

I have a case control study that I would like to publish but there has already been a meta analysis of observational studies in the same topic but on a different population (Iranians) and during a different time period (2000 to 2016). Mine is in the USA and will analyze data from 2016 onwards. Will my study be novel enough for a shot at a good journal?

2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2024) will be held on June 28- June 30, 2024 in Zhuhai China.

MLISE is conducting exciting series of symposium programs that connect researchers, scholars and students to industry leaders and highly relevant information. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. MLISE propose new ideas, strategies and structures, innovating the public sector, promoting technical innovation and fostering creativity in development of services.

The topics of interest for submission include, but are not limited to:

1. Machine Learning

- Deep and Reinforcement learning

- Pattern recognition and classification for networks

- Machine learning for network slicing optimization

- Machine learning for 5G system

- Machine learning for user behavior prediction

......

2. Intelligent Systems Engineering

- Intelligent control theory

- Intelligent control system

- Intelligent information systems

- Intelligent data mining

- AI and evolutionary algorithms

......

All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of MLISE 2024 will be published in the MLISE 2024 Conference Proceedings by IEEE (ISBN: 979-8-3503-7507-7), which will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

Submission Deadline: April 26, 2024

Registration Deadline: May 26, 2024

Conference Dates: June 28-30, 2024

*Using the invitation code on submission system/registration can get priority review and feedback

Apart from using the CASP tool, which I can only get to review articles with qualitative studies, I am looking to review articles that equally use quantitative methodology for their research

Would it be considered academic dishonesty if a phd student hire a data analyst to conduct the data analysis for his/here thesis?

Hello guys

I want to employ FMRI for conducting research.

At first step, I want to know FMRI data is an image like MRI.

Or I should behave with FMRI like time-series when it comes to analyzing data

thank you

I need help analyzing enzyme kinetic data.

I have data from the Octet K2 system. In my experiment, I load the sensor with our protein of interest (6XHis tag on my recombinant protein to Ni-NTA sensors) and then expose this sensor to increasing concentrations of the candidate binding protein (five concentrations per experiment and each experiment is replicated four times). Each association step is followed by a dissociation step in buffer. A control sensor is used in each experiment where a sensor is loaded with the protein of interest but only exposed to buffer. (See picture, Part 1)

I have separate data where I loaded smaller recombinant domains of the protein of interest to the sensor and exposed it to the candidate binding protein. I would like to combine this data (the binding of the full-length protein and the binding of the domains) on the same graph.

My problem: In trying to analyze the data with the software provided with the Octet system (HT 11.1), the data misaligns. (See picture, Part 2)

My goal is to determine kinetic constants (KD) of the full-length protein and its separate domains to the protein of interest.

Suggestions for correctly aligning the data in the Octet software HT11.1? (I think the misalignment is because the program is trying to align the y axis to baseline 1 instead of baseline 2, which is the baseline right before the association step. If so, can you change this label after the fact?)

I found I can extract the raw data from the Octet system. I can remove the background from the control sensor and manually assign concentrations. I uploaded this into Sigma plot 15, which has an enzyme kinetic module. I found the embedded help guide, but I have specific questions. For example:

*My candidate binding protein does not change, but how do you take into account the change in the kilodaltons of the proteins that are loaded to the sensor, full length vs. the smaller domain proteins? This is automatically taken care of in the Octet software.

*How do I differentiate between the association and dissociation phases?

I am new to Octet biolayer analysis and the Enzyme Kinetic Module analysis in Sigma Plot.

Any help will be greatly appreciated! I am happy to provide any more information.

Hi all!

I've been collecting data on a group of 8 chimpanzees at Chester Zoo for my dissertation. The group consists of 4x males and 4x females, all of which have different hierarchical status' and ages.

I have been doing random focal observations with a checksheet consisting of 4 state behaviours (timed) and 6 behaviours (frequencies). I would start a random focal observation when a stressful context arose (such as high visitor numbers, anticipation to feeding, or feeding time)and denote the durations or frequencies of behaviours exhibited by that individual for 15 minutes. Then at the following visit, I would observe the same individual at the same time but under a non-stressful context (therefore utilising the Matched Control Method).

This process repeated for 4 months and I now have a complete data set.

I am <really> struggling on 1. How to use SPSS, and 2. What tests would be ideal to use? As you can imagine there is quite alot of data which hold different values so you can hopefully see my confusion around this.

Ideally, the statistical analysis of my data will reveal which contexts in the zoo precipitate an increase in stress the most (e.g. high visitor numbers, anticipation to feeding, feeding). I also want to be able to compare this data to the hierarchial status' and ages of the individuals.

Any help would be so appreciated. Thanks in advance!

compliments of the day. Please, how do I go about the data analysis of my PhD work? human health risk assessment of heavy metals. biomarker and heavy metal analysis of human and environmental samples.

#biomarker data analysis.

#Heavy metal data analysis

#environmental samples data analysis

Hi,

Can anyone explain if there is a better system available to analyze data than the IBM SPSS?

Thank you,

Ameenah

Ecoplate is done to know the metabolic diversity of soil at community level.

I have several pairs of parameters (obtained from females and males) and want to find the difference in correlation between the two sexes for each parameter, but also want to give a weight so that the parameter showing the highest correlation with survival in either females or males have a greater weight. This way, I hope to find factors that shows a combination of strong correlation differences between females and males (with regard to survival) - and most positively correlated with survival for either sex (which I will resolve further).

To do this, if I have a correlation of parameter 1 for males as A and for females as B: I plan to do (A-B) multiplied by A or B (the highest correlation) - to acknowledge the weight of highest positive correlation with survival. For the next parameter, the correlation is C for males and D for females, I will do (C-D) X C or D (whichever is highest) - with the final aim to rank the parameters most differing between females and males, as well as, most correlating with survival of either sex. Do you think it is a reasonable idea?

I would be very very grateful for your advice, suggestions and tips.

I am a researcher who decided to buy labtop suitable for my work as a simulation and data analysis work

Please suggest one

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.

Hello everyone, for my dissertation I have two predictor variables and one criterion variable. In one of the predictor variable- I further have 5 domains and it doesn't have a global score so in that case can i used multiple regression or i have to perform step wise linear regression seperately for 6 predictors(5 domains and another predictor) ?- keeping in mind the assumption of multicollinearity.

Here are some examples of software that can be used for each step of RNA-seq data analysis:

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I'm recently trying to perform an RNA seq data analysis and in 1st step, I faced a few questions in my mind, which I would like to understand. Please help to understand these questions.

1) In 1st image, raw data from NCBI-SRA have marked 1&2 at the ends of the reads, What is the meaning of this? are those meaning forward and reverse reads?

2) In the second image I was trying to perform trimmomatic with this data set. I chose "paired-end as a collection" but it does not take any input even though my data was there in "fastqsanger.gz" format. Why is that? Should I treat this paired-end data as single-end data while performing Trimmomatic?

3) in the 3rd and 4th images, I collected the same data from ENA where they give two separate files for 1 and 2 marked data in SRA. Then I tried to process them in Trimmomatic by using "Paired-end as individual dataset" and then run it. Trimmomatic gives me 4 files for those, Why is that? which one will be useful for alignment ??

A big thank you in advance :)

I'm performing RNA-seq data analysis. I want to do healthy vs disease_stage_1, Healthy vs disease_stage_2, and Healthy vs disease_stage_3. In the case of healthy, disease_stage_1, disease_stage_2, and disease_stage_3 data sets, I have 19, 7, 8, and 15 biological replicates respectively.

Does this uneven number of replicates affect the data analysis?

Should I Use an even no of datasets like for every dataset, 7 biological replicates (As the lowest number of replicates here is 7)?

Kindly research on how AI  is going to impact on legal sevices and in particular arbitraration.Right now some firms have started using AI for research,due diligence  and data analytics.

It prompts for an explanation regarding which method is more suitable and why, aiming to enhance understanding of the selection process between these two techniques in the context of mixed data analysis. Is there any other ordination technique suitable for mixed data type?

Cosine similarity, Soft Cosine similarity or SBERT?

We usually use Excel in our lab to analyse data, but I would like to take a course on a more sophisticated tool. Can you share which one is most common in molecular biology?

Thank you :)

Could this be due to an error in Mass Spec calibration or data analysis? I have 2 technical repeats that are fine, but the 3rd repeat is far away in the PCA plot and clusters with replicates of a different sample.

What is the short new way for you to solve this problem of data analysis in time series?Suppose you have time series data. What steps do you take and how to analyse this data? How to solve it in your work?Follow me and share with me your post and your personal experience. 

What are some innovative approaches to data analysis and visualization in phonology research?

Dear experts,

I have noticed that researchers who are able to publish in first-tier journals often use advanced data analysis methods, which usually involve numerical forms such as Confirmatory Factor Analysis (CFA), Structural Equation Modelling, and Comparative Analysis.

While I acknowledge the significance of using advanced data analysis methods like CFA and structural equation modelling to answer specific research questions, I am interested to know why there is a preference for these methods over qualitative studies.

Look forward to hearing from you.

In recent years, there has been a growing scale of implementation of Industry 4.0/5.0 technologies, including Big Data Analytics, Data Science, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies and also generative artificial intelligence to business entities in order to improve internal information systems of the Business Intelligence type supporting the management processes of a company, enterprise, corporation or other type of business entity. The Covid-19 pandemic has accelerated the processes of digitizing the economy. The importance and application of analytics conducted via the Internet and/or using data downloaded from the Internet is also growing. An example is sentiment analysis conducted on data downloaded from the Internet implemented on Big Data Analytics platforms being an additional research instrument of conducted market research, marketing research as an additional source of data for conducted Business Intelligence type analysis. This is particularly important because in recent years the importance of Internet marketing, including viral marketing, Real-Time marketing carried out on social media sites is increasing. Accordingly, in many industries and sectors of the economy, there is already an increase in the application of certain Industry 4.0 technologies, i.e., such as Big Data Analytics, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, additive manufacturing, Blockchain, cybersecurity instruments, Virtual and Augmented Reality and other advanced data processing technologies Data Mining. Besides, using Big Data Analytics, interesting research is being conducted in the field of the issue: Analysis of changes in the relationship of consumer behavior in the markets for goods and services caused by the impact of advertising campaigns conducted on the Internet, applying new Internet marketing tools used in new online media, including primarily social media. The growth of behavioral economics and finance, including the analysis of the determinants of media formation of consumer opinions on the recognition of the company's brand, product and service offerings, etc., through the growth of Internet information services, including social media portals. Currently, online viral marketing based on social media portals and customer data collected and processed in Big Data Analytics databases is developing rapidly. In recent years, new online marketing instruments have also been developed, applied mainly on social media portals and are also used by e-commerce companies. Internet technology companies and fintechs are also emerging, offering online information services to assist marketing management, including in planning advertising campaigns for products sold via the Internet. For this purpose, the aforementioned sentiment analyses are used to study the opinions of Internet users regarding the prevailing awareness, recognition, brand image, mission, offerings of certain companies. Sentiment analysis is carried out on large data sets taken from various websites, including millions of social media pages, collected in Big Data systems. The analytical data collected in this way is very helpful in the process of planning advertising campaigns carried out in new media, including social media sites. These campaigns advertise, among other things, products and services sold via the Internet, available in online stores. In view of the above, the development of e-commerce is mainly determined by technological advances in ICT information technology and advanced data processing technology Industry 4.0, as well as new technologies used in securing financial transactions carried out over the Internet, including transactions related to e-commerce, i.e. blockchain technology, for example. In my opinion, ongoing scientific research confirms the strong correlation occurring between the development of Big Data technologies, Data Science, Data Analytics and the efficiency of the use of knowledge resources. I believe that the development of Big Data technology and Data Science, Data Analytics and other ICT information technologies, multi-criteria technology, advanced processing of large sets of information, Industry 4.0 technology increases the efficiency of the use of knowledge resources, including in the field of economics, finance and organizational management. In recent years, ICT information technologies, Industry 4.0, etc., have been developing particularly rapidly and are being applied in knowledge-based economies. These technologies are being applied in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In view of the growing importance of this issue in knowledge-based economies, it is important to analyze the correlation between the development of Big Data technologies and analytics of Data Science, Data Analytics, Business Intelligence and the efficiency of using knowledge resources to solve key problems of civilization development. Analytics based on Business Intelligence, in addition to Data Science, Big Data Analytics are increasingly being used in improving business management processes. The development of this analytics based on the implementation of ICT information technologies and Industry 4.0 into analytical processes has a great future in the years to come. In recent years, ICT information technologies, Industry 4.0, etc., have been developing particularly rapidly and are being applied in knowledge-based economies. In addition, the application of artificial intelligence technologies can increase the efficiency of the use of Big Data Analytics and other Industry 4.0/5.0 technologies, which are used to support business management processes.

I have described the issues of application of Big Data and Business Intelligence technologies in the context of enterprise risk management in the following article:

APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION

In addition, I described the issues of opportunities and threats to the development of AI technology applications in my following article:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

What is the short new way for you to solve this problem of data analysis in time series? Suppose you have time series data. What steps do you take and how to analyse this data? How to solve it in your work? Follow me and share with me your post and your personal experience.

XPS Data Analysis

What is univariate data analysis?

What is bivariate data analysis?

data collection methodology

data analysis methods

Hello,

Im conducting a qualitative piece of research which ive positioned within a phenomenological grounding. I’m also utilising IPA as the framework for my data analysis. However, I’ve been asked to detail my analytical framework separate this to but I’m struggling to understand the difference between this and my data analysis approach. Any help would be greatly appreciated?

I have selected two deep learning models CNN and sae for data analysis of a 1 d digitized data set. I need to justify choice of these two dl models in comparison to other dl and standard ml models. I am using ga to optimize hyper parameters values of the two dl models. Can you give some inputs for this query.thanks.

What aspects of working with data are the most time-consuming in your research activities?

What functional capabilities would you like to see in an ideal data work platform?

Colleagues, good day!

We would like to reach out to you for assistance in verifying the results we have obtained.

We employ our own method for performing deduplication, clustering, and data matching tasks. This method allows us to obtain a numerical value of the similarity between text excerpts (including data table rows) without the need for model training. Based on this similarity score, we can determine whether records match or not, and perform deduplication and clustering accordingly.

This is a direct-action algorithm, relatively fast and resource-efficient, requiring no specific configuration (it is versatile). It can be used for quickly assessing previously unexplored data or in environments where data formats change rapidly (but not the core data content), and retraining models is too costly. It can serve as the foundation for creating personalized desktop data processing systems on consumer-grade computers.

We would like to evaluate the quality of this algorithm in quantitative terms, but we cannot find widely accepted methods for such an assessment. Additionally, we lack well-annotated datasets for evaluating the quality of matching.

If anyone is willing and able to contribute to the development of this topic, please step forward.

Sincerely, The KnoDL Team

During my RNAseq data analysis, I encountered a problem where the statistics from MultiQC from the STAR method showed that 70% of my trimmed reads were aligned, but when I ran using the same BAM files, it said that only 3% of my reads were assigned.

Why is that? Should I proceed further or do I need to perform additional checkups? For reference i used HG38.p14 version from NCBI.

i have a made a proposal but i didnt find anyone who can help me properly and work with me properly.i need someone as co-author

my project:

1.social science related

2.in bangldeshi contex

3.you have to work with me as team member.skill need-zotero,spss data analysis,google form maker,

4.need 3 another member with specific skillsets.

How are researchers leveraging artificial intelligence and machine learning algorithms to enhance data analysis and prediction in their studies?

Someone help me with access to Scopus database. I need the information about articles in Geoderma journal for review. I want to compare the use of methods of remote sensing and proximal sensing soil data analysis for the last 30-40 years. In russia the access is disabled.

Hi RG family. I’m trying to get a foothold on qualitative data analysis using Nvivo. First off, I must admit my addiction to quantitative methods through out much of my career. But recently, I’m getting obsessed with qualitative approaches to research, because of their potential to generate more detailed and comprehensive insights.

However, I’m not familiar with the Nvivo software. Please fill me in on any and I mean any detail you know about qualitative data analysis via Nvivo. From transcription, and data entry, to analysis, results visualization and interpretation. I look forward to learning massively from your immensely invaluable contributions to this discussion.

Over to you, fam!! I’m reading you!!

What are the most effective and widely-used software programs for analyzing data collected through observations in research studies?

I found in google but can't understand properly.

Hello dear scientists

How can we distinguish maternal contamination from triploidy in QF-PCR analysis?

Looking for somebody to share experience on using ChatGPT 4 as an assisting tool (in combination with either Excel or Perseus MaxQuant) for analyzing data such as OMICs. Concretely I'm dealing with proteomics from human blood samples.

Grateful for any feedback!

Are there methods to evaluate studies using medical data?

can anybody suggest some state-of-the-art research problems for Ph.D. on "AI in the academic sector"?

Scenario - There is an IV and DV. IV is measured in 5 point likert scale questions and DV is measured in 7 point likert scale questions.

Doubts -

01. Can we run a test like regression analysis directly irrespective of differences in measures?

02. if NOT, what are the transformation techniques available to transform data into same scale?

I calculated SPSS that is better.

In my thesis I calculated two of this method correlation and regression. But I can't understand which is better for data analysis.

I am writing my bachelor thesis and I'm stuck with the Data Analysis and wonder if I am doing something wrong?

I have four independent variables and one dependent variable, all measured on a five point likert scale and thus ordinal data.

I cannot use a normal type of regression (since my data is ordinal and my data is not normally distributed and never will be (transformations could not change that) and is also violating homoscedasticity), so I figured ordinal logisitc regression. Everything worked out perfectly but the test of parallel lines on SPSS was significant and thus the assumption of proportional odds violated. So, I am now considering multinomial logisitc regression as an alternative.

However, here I could not find out how to test the assumption on SPSS: Linear relationship between continuous variables and the logit transformation of the outcome variable. Does somebody know how to do this???

Plus, I have a more profound question about my data. To get the data on my variables, I asked respondents several questions. My dependent variable for example is Turnover Intention and I used 4 questions using a 5 point likert scale, thus I got 4 different values from everyone about their Turnover Intention. In order to do my analysis, I took the average since I only want one result, so one value of Turnover Intention per respondent (and not four). However, now the data does not range from 1,2,3,4 and 5 anymore like before with the five point likert scale but is infinite since I took the average and now have decimals like 1,25 or 1,75. This leaves me with endless data points and I was wondering if my approach makes sense? I was thinking of grouping them together since my analysis is biased by having so many different categories due to the many decimals.

Can somebody provide any sort of guidance on this??

Which free software is suitable for XRD data analysis and how can I get it?

Hi,

Kindly help me to understand when we can use AMOS or SMART-PLS for data analysis? thanks

Regards,

I want to ask you a question about data analysis in psychology. I have two independent variables, one is group (between subjects), one is age (continuous data), and the dependent variable is a 6-point Likert score. I intend to use regression for data analysis, with three questions:

1. Should the ID of the subjects (the number of each subject) be included in the model as a random variable? If it is included, it should be Linear Mixed Model (LMM), if it is not included, it should be Multiple Linear Regression, right?

2. In the case of multiple linear regression, should I directly build the full model and see the influence of each independent variable, or should I build the full model and compare with the zero model, and then analyze with the method of step by step elimination?

3. When I do my analysis, do I need to centralize both age (continuous variable) and rating, or do I just need to centralize age?

Hello,

I am currently working on the data analysis for my Ph.D. project comparing the probability of occurrence of species density and richness (in hectare basis) between three different land use types using count data. Due to the design of the field study, I decided to use GLMM with Poisson distribution as I have various random effects and sites as a random effect that need to be accounted for. The model seems to be doing the job, however, I am not really sure how to report the results. I am using the lme4 package in the R console to analyze my data.

Thank you

Can anyone please explain how to analyse data collected using brief cope 28 item scale?

Like i won't get the total score rather than score for each subscale and then it is mentioned in a research to use normative data of a heart failure study for calculating percentile ranks. Can anyone please help as I dont get the data analysis part after collection using this scale?

Hi,

I have just installed and used spss 29. I was using spss 27.

I am analyzing data with a crossed random effects mixed model.

I am using syntax for this type of analysis. With the exact same syntax and data base I obtain different results with spss 29 and spss 27!

Specifically, the same model (that I call model 3) run with spss 27 was not giving me a warning whereas with spss 29 I get a warning (The final Hessian matrix is not positive definite although all convergence criteria are satisfied. The MIXED procedure continues despite this warning. Validity of subsequent results cannot be ascertained.).

Another case: with a slightly simpler model that I call model 2, I have no warnings but the results with spss 27 and spss 29 are not identical (e.g. BIC is different).

Is anyone experiencing the same or similar ?

discuss the study design, the relevant data to be collected, how two animal species i.e. cattle and pigs can be incorporated in one paper for discussion and the most relevant data analysis techniques for data that spans 5 years.

I'm wondering how can I code in a simple way analyze data quantitatively that has been reported as HH:MM format but its output is text/character (e.g. "09:00AM; "9AM"; "10am")

I was performing a RNAseq data analysis. I did my alignment using RNA-STAR and then I perform featurecounts. I used latest assembly of human genome i.e. HG38.p14. But after feturecounts step i noticed that some gene were counted abnormally, like the screenshot i share you can see that ABO gene came two times, one as 'ABO' and then 'ABO_1' and you can see many more are came like this. in featured count i selected the option, "count them as single fragment". Dataset was illumina Paired end reads.

1. Dose anyone know What is the reason behind that?

2. Did I do any mistake during the processes that i didn't noticed?

3. What to do in this situation?

Thank you , very much for the time.

Data generation (collection) is a key and critical component of a qualitative research project. The question is, how can one make sure that sufficient data have been generated/collected?

Let's find the most essential and reliable no-code data science tools to speed up the elaboration of the research results. Thanks to Avi Chawla (source: LinkedIn post), I have some suggestions for you here. Let us know your tips.

My area of interest are sustainable business and data analysis

If i have got a matrix of 16x12 and i want to create 3 classes.Is there any machine learning technique which can identify the lower and upper boundary levels for each of the classes.

which one is the best online course for data analysis?