New YouTube Playlist: Meta-Analysis

[Neeraj Kaushik]

Dear Friends

From some time I am reading Meta-Analysis and I must say it is a complete world in its own.

It operates at min 2 levels: Basics and Advanced Level

Basic Level includes the following:

• Summary Effect
• Fixed and Random Effect
• Identifying and Measuring Heterogeneity
• Sub-Group Analysis
• Meta-regression
• Reporting & Publications Bias
• Fail-Safe Analysis
• Trim and Fill Analysis

Advances concepts include

• Meta-SEM

Software used:

• JAMOVI  Download from https://www.jamovi.org/download.html (Playlist  https://www.youtube.com/playlist?list=PLzUJUtTJcj8R0hacEFGOMDAhkmb9Id4F-)  
• R-Studio Download from  https://cran.r-project.org/ (Playlist  https://www.youtube.com/playlist?list=PLzUJUtTJcj8S0hg4Nz-OxQAME3QEg-nFt)
• Meta Essential Download from  https://www.erim.eur.nl/research-support/meta-essentials/download/

Study Material:

• Introduction to Meta-Analysis by Michael Borenstein & Larry V. Hedges & Julian P. T. Higgins & Hannah R. Rothstein (Available on https://www.pdfdrive.com/introduction-to-meta-analysis-e184187655.html) 
• Methods of Meta-Analysis: Correcting Error and Bias in Research Findings by John E. Hunter & Dr. Frank L. Schmidt (Available on https://www.pdfdrive.com/methods-of-meta-analysis-correcting-error-and-bias-in-research-findings-e185918328.html)
• Meta-Analysis: A Structural Equation Modeling Approach by Mike W.-L. Cheung (Available on https://www.pdfdrive.com/meta-analysis-a-structural-equation-modeling-approach-e184590393.html)

I attempted to explain the Level-1 concept in simple terms in a new playlist (https://www.youtube.com/playlist?list=PLzUJUtTJcj8TjSgv9Nk9HJt92s1uxeRWz)

The first video discusses the Study Material and Basic Concept

Meta-Analysis-1 Introduction and Study Material:  https://youtu.be/uiESmS-y5ZM

Happy Learning

Neeraj

[Dr. Rahul Pratap Singh Kaurav]

Thank you very much sir,

The playlist is very helpful and interesting too.

You are always awesome.

Best regards,

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[Raja Sankaran]

Dear Prof. Neeraj,

An informative set of videos on meta-analysis (am sure you will have 50+ videos on this playlist).

I wish this was available a few months ago! I learnt the concept the hard way. I have submitted my meta-analysis research paper in ABDC category, A* journal.

Your videos are always encouraging.

 

Regards

Raja Sankaran

+91-8073697345

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[Neeraj Kaushik]

Dear Raja

You're the primary motivation for this playlist.

It's good to know that you've already covered this topic.

Now, I've someone to whom I can ask my doubts :-)

Plz do share your paper once it is published and available in the public domain.

Best wishes

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[Mukti Sharma]

Dear sir

This first video communicates the basics of meta analysis in a very easy manner.

Regards

Neelam

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[Ramani Swarna]

Sir,

The best playlist for me and my favourite one. 

Thanks and regards,

Ramani Swarna

Contact#: 9560879476

Whatsapp#:8527149777

mail id: ramani...@gmail.com

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[Richa Saxena]

Thank you very much Sir!!

I have been waiting for this for a very long time..

Regards,

Richa Saxena

Assistant Professor 

Marketing and Operations- NMIMS Mumbai Campus

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[Sajeeb Shrestha]

Respected Sir.  It's like gift of God. Delighted and Blessed .

Regards

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[Neeraj Kaushik]

Dear Friends

Meta-Analysis starts with SLR-Systematic Literature Review and SLR constitutes almost 50-60% of the Meta-Analysis.

I've discussed the in this video Meta-Analysis-2 Process of SLR: https://youtu.be/gPrGm5bi5JU 

Study Material on SLR

https://www.pdfdrive.com/search?q=Systematic+Literature+Review&pagecount=&pubyear=&searchin=  

Happy Learning 

[Mukti Sharma]

Dear sir

It is nice explanation for all the terms of SLR ..that how it is having a association and differentiation from all the four terms explained in meta analysis2 video. 

Regards

Neelam

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[Neeraj Kaushik]

Dear Friends

In the third video, I've discussed the Quick-steps of Meta-Analysis.

Meta-Analysis-3 Steps for Meta-Analysis: https://youtu.be/nVGFBAq3MOc

Happy Learning

[Mukti Sharma]

Dear sir

Meta analysis 3 video giving info for formats of collecting data based on various analysis is very informative.

Thanks & Regards

Neelam 

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[Dr. Rahul Pratap Singh Kaurav]

True Neelam Maam,

All the videos in the series are actually very useful. Hoping to receive more videos. 

A very interesting and reliable source.

Thank Neeraj Sir.

Regards,

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[Ramani Swarna]

Absolutely Right Kaurav Sir.

Thanks and regards,

Ramani Swarna

Contact#: 9560879476

Whatsapp#:8527149777

mail id: ramani...@gmail.com

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[Neeraj Kaushik]

Hello Friends

One question that much be bubbling in the minds of viewers of this playlist is which software we are going to use? 

I've discussed a few in this video

Meta-Analysis-4 Software for Meta-Analysis: https://youtu.be/MGqjhk1HSUg

You may find a detailed discussion on software for Meta-Analysis on these links:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2048970/ 

https://toptipbio.com/free-meta-analysis-software/

https://www.researchgate.net/post/Could_anyone_suggest_a_free_software_for_Meta_analysis 

 

Happy Learning

Neeraj 

[Jaminiranjan Meher]

Dear sir, 

Can we use JASP software for meta analysis. It is an open source software.  I think it can be easy to use JASP as compared to R studio. 

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[Neeraj Kaushik]

Dear Meher

JASP is an open-source software which can be used for Meta-Analysis.

Best wishes

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[neeraj chopra]

Sir,

Thank you for these videos

I like to know that meta analysis can only be applied for two or more variable relationship studies

Or if I am exploring dimensions can it work

Regards

NEERAJ CHOPRA

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[Neeraj Kaushik]

Dear Neeraj

Meta-Analysis is applied on the relation of any 2 or more vars e.g. if you have a model (containing many vars) then focus on every relation in it. So, Meta-Analysis can be applied on the relation between 2 vars or on the entire model too.

Best wishes

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[neeraj chopra]

Dear Sir,

Suppose I have a model of antecedent of overall service quality

Can I apply for the same

Regards

Neeraj Chopra

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[Neeraj Kaushik]

Dear Neeraj

Meta-Analysis is a tool to fulfil an obj, so there must be an obj. We can't just work on Meta-ANalysis for nothing.

Plz see some papers 

https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1146&context=managementfacpub 

https://www.researchgate.net/publication/221108386_A_Meta-analysis_of_the_Unified_Theory_of_Acceptance_and_Use_of_Technology_UTAUT  

https://www.researchgate.net/publication/222579507_Affective_Continuance_and_Normative_Commitment_to_the_Organization_A_Meta-analysis_of_Antecedents_Correlates_and_Consequences

 

Best wishes

Neeraj

On Fri, Jun 26, 2020 at 8:48 PM neeraj chopra <neera...@gmail.com> wrote:

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[Neeraj Kaushik]

Dear Friends

I will remind time & again, that Meta-Analysis is a secondary data analysis technique where the basic unit is the previous study mentioning the relation between 2 variables understudy.

So, before we formally start Meta-Analysis, let us revisit the concepts that one shd be aware of.

Meta-Analysis-5 Concepts you should know prior to Meta-Analysis: https://youtu.be/lclGvGrt-RU

Happy Learning

[Neeraj Kaushik]

Dear Friends

I think now it's the time that we can have a flavour of Meta-Analysis, but first without the use of any software.

Before we go ahead with the manual calculations of various statistics, first let's have a handshake with Meta-Analysis.

Meta-Analysis-6 Handshake with Meta-Analysis Output Forest Plot: https://youtu.be/YExlEszL-Ro

Happy Learning

[Neeraj Kaushik]

Dear Friends

There are some underlying assumptions of Meta-Analysis which I discussed in this video

Meta-Analysis-7 Assumptions of Meta-Analysis: https://youtu.be/K0vpmrccXyQ

Happy Learning

[Neeraj Kaushik]

Hello Friends

I hope, by now, you must have got a fair idea about the Concept of Meta-Analysis and ready for understanding the manual calculations now. Let's start with Fixed Effect.

Meta-Analysis-8 Manual Calculations of Fixed Effect: https://youtu.be/Z_AS_WT1lGM

Best wishes

Neeraj

[Neeraj Kaushik]

Dear Friends

Studies can be considered to have a fixed effect or random effect but Meta Essential recommends that we shd always consider the Random effect.

I've explained it's calculation here:

Meta-Analysis-9 Manual Calculations of Random Effect: https://youtu.be/6RPWCrXd0so

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

Now, it's time to start work with software.

First, let's start with JAMOVI.

Meta-Analysis-10 Meta-Analysis using JAMOVI: https://youtu.be/JUZmpNGNMcw

Happy Learning

[jaspreetkbhasin]

The best part of the video sir is the Meta analysis excel sheet.It was really a very good free option for people working on meta anslysis and struggling with R software.

[Neeraj Kaushik]

Dear Friends

R-Studio is a very powerful tool for all sort of analysis including Meta-Analysis.

I've explained the concepts of Meta-Analysis in R-Studio in this video

Meta-Analysis-11 Meta-Analysis using R Studio: https://youtu.be/fJDjPyuw1LE

Happy Learning

[uma gulati]

Respected sir

excellent video on meta analysis. but my only concern is as you referred that we should take rejected papers also. it is actually a key point of analysis but from where we will get these rejected papers. it will be difficult to get papers rejected on particular study.

kindly guide.

regards

Prof Uma

--

[Neeraj Kaushik]

Dear Friends

Many of us are more comfortable in Excel. So let's discuss the concepts of meta-Analysis in excel. 

Meta-Analysis-12 Meta-Analysis using Meta-Essential: https://youtu.be/PpVhCmqHnNg

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

Before we go ahead discussing other technical stuff, I feel we must revisit the process of Review of Literature once again with an example. I explained how to search for the relevant statistics (n & r) in papers in this video:

Meta-Analysis-13 Creating Input Correlation format for Meta-Analysis: https://youtu.be/QaWMqwS1xx0

Happy Learning

[Neeraj Kaushik]

Dear Uma Mam

In Meta-Analysis, we provide a conclusion of all studies up to a particular point of time, we must include results of studies that are not published. Hence we shd incorporate studies published in conferences, unpublished dissertation & thesis, even papers that were rejected. For this, it is advisable to contact the various scholars working in that area and ask them about their rejected paper. I shall discuss these concepts soon in the concept of Publication bias.

Best wishes  

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[Sachin Prakash]

Dear Sir,

Homogeneity analyses were conducted using the chi-square statistic (Hunter et al., 1982) to determine whether variation among the correlations was greater than by chance.( Refrence: Role of self identity in TPB paper)

What i have learned about homogeneity in Meta analysis is that if you have selected the targeted relationship from same domain and variation in effect size due to sampling error. Here, they are talking about another aspect of homogeneity ( variation in r )?

Further in paper, they talked about input matrix in multiple regression to determine the increment variation due to self identity after controlling TPB component

using hierarchical regression. My query is related to process that how to consider comprehensive result of all studies for self identity in hiearchical regression. 

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[Sachin Prakash]

Oh Sorry..same domain concept is related to fixed effect...that is not homogeneity ..

[Neeraj Kaushik]

Dear Friends

There are 2 terms: Confidence Interval and Prediction Interval.

First provides the range in which 95% of the correlation of the studies understudy will lie and Prediction Interval provides a range for future studies. I explained their difference in this video

Meta-Analysis-14 Confidence Interval vs Prediction Interval: https://youtu.be/hCWMXue1VZk

Happy Learning

[Neeraj Kaushik]

Dear Sachin 

I'll reply to your question a little later as it might be covered in the successive videos.

Best wishes

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[Vibhav kumar Pandey]

Thanks sir

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[Neeraj Kaushik]

Dear Friends

So, let's have a Moderation day Today.

Moderator is of 2 types: Metric and Non-Metric.

Metric Moderator is called as the Interaction effect while  Non-Metric Moderator is called as the Multi-Group Analysis.

In Meta-Analysis too, the same prevails.

When we are trying to check whether a relation (r) is same in 2 or more groups, it is called as the Sub-Group Meta-Analysis and when we check whether it (r) is affected by any metric var, it is called as Meta-Regression.

I've explained these in the following videos:

Meta-Analysis-15 Sub-Group Analysis: https://youtu.be/wvl0ACouBjM

Meta-Analysis-16 Meta-Regression: https://youtu.be/CmZDTc8nk6E

Happy Learning

[Neeraj Kaushik]

Dear Friends

So far we've discussed the basics of Meta-Analysis and covered the topics like

• Summary Effects: Faxed and Random
• Homogeneity Statistics
• Confidence & Prediction Intervals
• Sub-Group Analysis
• Meta-Regression

Now it's time to know some other issues related to Meta-Analysis and the firstmost is the various types of biases available and mitigating those biases.

Meta-Analysis-17 Reporting Bias in Meta-Regression: https://youtu.be/FwebRd47-sc

Meta-Analysis-18 Tests for measuring Biasness: https://youtu.be/2k4D25en6eE

Happy Learning

[Neeraj Kaushik]

Dear Friends

In the final instalment of the Level-1 Meta-Analysis, I've explained the 2 techniques: Fail-Safe Analysis and Trim & Fill Analysis.

Meta-Analysis-19 Fail-Safe Analysis: https://youtu.be/yB6r2Z9FaXQ
Meta-Analysis-20 Trim & Fill Analysis: https://youtu.be/x0GOBDsPhHk

Happy Learning

[Neeraj Kaushik]

Dear Friends

I hope you enjoyed the Meta-Analysis videos so far and now ready to go to the next level.

The next level Bias & Error Correction was developed by Frank Schmidt and Hunter in late 1975 but they published it in 1977 with the term Validity Generalization. Before that Gene Glass has coined the term Meta-Analysis.

Error and Bias Correction provides an in-depth analysis of how we work, measure constructs and the pitfalls there.

It is less of mathematical and more of conceptual work.

I've explained the Historical Development of Schmidt-Hunter method in this video:

Meta-SEM-1 Historical Development of Schmidt-Hunter Method: https://youtu.be/QKZVJ4LfDF8

Happy Learning

[Neeraj Kaushik]

Dear Friends

Scmidth & Hunter (2014) described 11 artifacts which shd be corrected for the Bias. An Artifact may be defined as the Errors in study results produced by Study Imperfections or Manmade errors ad not properties of nature.

The 11 artifacts are as under:

1. Sampling error
2. Error of measurement in the DV
3. Error of measurement in the IDV
4. Dichotomization of a continuous DV
5. Dichotomization of a continuous IDV
6. Range variation in the IDV
7. Range variation in the DV
8. Deviation from perfect construct validity in the IDV
9. Deviation from perfect construct validity in the DV
10. Reporting or Transcriptional error
11. Variance due to extraneous factors that affect the relationship

Two of these namely Sampling Error and Measurement Error are the most important as they are always present in the study and we shall correct them for Meta-SEM.

I've explained these artifacts in this video:

Meta-SEM-2 Introduction to Various Study Artifacts: https://youtu.be/W9srkRVLSI8

Happy learning

[Neeraj Kaushik]

Dear Friends

For starting the Meta-SEM, first, we have to collect papers from SLR and then extract the data in a particular format.

We've to prepare 2 tables: One for the Correlation and second for the mean, std dev and Alpha

Then we can use the correction formula. 

I've explained the formats in this video.

Meta-SEM-3 Formats of Data Collection from papers: https://youtu.be/icyEvh6nVDk

Happy Learning

[Anam]

Respected Sir,

I had a doubt regarding extraction of correlation value in a meta analysis of the mediators of a construct. Which value will we extract in the absence of a correlation matrix in mediation papers?

[Neeraj Kaushik]

Dear Anam

For running Meta-SEM we need correlation.

Ideally, we need r but we can estimate r from r2, beta of simple regression too.

I've not covered the topics of converting other statistics to r.

Best wishes

On Wed, Aug 12, 2020 at 11:14 AM Anam <anam...@gmail.com> wrote:

Respected Sir,

I had a doubt regarding extraction of correlation value in a meta analysis of the mediators of a construct. Which value will we extract in the absence of a correlation matrix in mediation papers?

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[Farheen Khan]

Sir, can we convert beta (regression coefficient) to r (correlation) by adding 0.05?

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[Anam]

Thank you Sir, if possible could you please recommend further reading for converting to r values? More specifically the results of the mediation analysis?

On Wednesday, August 12, 2020 at 11:17:56 AM UTC+5:30, Dr Neeraj Kaushik wrote:

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[Neeraj Kaushik]

Dear Anam

Plz refer to the book Introduction to Meta-Analysis by Michael Borenstein & Larry V. Hedges & Julian P. T. Higgins & Hannah R. Rothstein

The authors have provided the procedures to convert virtually anything to anything

Plz read the book and help yourself.

Best wishes

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[Anam]

Thank you Sir!

[Neeraj Kaushik]

Dear Friends

The main task after collecting the correlation data is to correct for Sample Size Adjustment & Measurement Biasness.

I've explained this in the following video:

Meta-SEM-4 Correcting r for Sample Size Adjustment & Measurement Biasness: https://youtu.be/qHAaiauzQSQ

Happy Learning

[Neeraj Kaushik]

Dear Friends

Now we can start Meta-SEM. But before that a quick revision of the concept of Measurement Error.

In the following video, I've explained the Concept of Measurement Error, Meta SEM, Data Entry format in SPSS and AMOS:

Meta-SEM-5 Concept of Measurement Error, Meta SEM, Data Entry format in SPSS and AMOS: https://youtu.be/GyWL-7zTPI0

Happy Learning

[Neeraj Kaushik]

Dear Friends

So far we have discussed the formats of data collection from papers, data entry in Excel, SPSS and attaching that file to AMOS. Now we can start working on Meta-SEM in AMOS.

I've discussed the same with the help of one case study of a published paper

A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects 

by Jeroen Schepers & Martin Wetzels
Information & Management 44 (2007) 90–103

Meta-SEM-6 Practical Casestudy-1: Subjective Norm in TAM: https://youtu.be/ZPaVSBlZ2zA

Happy Learning

[Neeraj Kaushik]

Dear Friends

We've concluded the Meta-SEM and its working in SPSS+AMOS.

It is pertinent to mention here that so far I've only discussed the concepts directly related to correlation coefficient. There may also be cases where any of the statistical indicators are first changed to the correlation coefficient and then performed Meta-Analysis.

I've discusses one more Case Study Anticipated regret as an additional predictor in the theory of planned behaviour: A meta-analysis by Tracy Sandberg and Mark Conner; published in British Journal of Social Psychology (2008), 47, 589–606

Meta-SEM-7 Practical Casestudy-2: Anticipated Regret in TPA: https://youtu.be/cEAF2vT4eDw

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

So many scholars have doubts related to Meta-Analysis vs Meta-SEM, which statistics to report in which technique, sample size etc.

I tried to answer these questions in this video 

Meta-Analysis vs Meta-SEM: https://youtu.be/OXb8PMk2Cx8

Happy Learning

[Dipneet A. Singh]

Thank you sir.

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Thanks and Regards
Dipneet A. Singh

Research Scholar
Punjabi University, Patiala
Punjab India

Contact No. 7888414104

[Neeraj Kaushik]

Dear Friends

I've made a detailed playlist on Meta-Analysis and Meta-SEM.

However, this playlist is largely focused on correlation values only.

In recent days, I got messages from various scholars working in different fields like Medicines, Agriculture, Computers etc. There, in most of their review papers, they get the values of crosstabulation, t-test, anova etc.

So, the question is how to proceed further?

The answer is that we can convert all effect sizes to other effect sizes. For this, we need to use the different Meta Essential Excel formats.  

Plz note that the Meta Essential Excel files will give certain output.

Type of Data	Tool/technique	Meta Essential File	Statistics generated
Both vars Binary	Crosstabulation	2 Meta-Essentials Differences between independent groups - binary data 1.5	Odd's ratio
1 var Continuous, 1 var categorical	t-test, anova	3 Meta-Essentials Differences between independent groups - continuous data 1.5	Hedge's g
Both vars Continuous	correlation	5 Meta-Essentials Correlational data 1.5	r
Expt Study	paired t-test	4 Meta-Essentials Differences between dependent groups - continuous data 1.5	Hedge's g

It is interesting to note that Cohen's d is at the center of all such conversions e.g.

Conversion from t-test to r:

• Meta essential Excel File will give Hedge's g from t-test values 
• This Hedge's g which will be converted to d and 
• this d will be converted to r

Conversion of cross tabulation values to r

• Meta essential Excel File will give Odd's ratio from the given Freq data of Crosstabulation
  
• This Odd's ratio will be converted to Log Odd's ratio and 
• This Log Odd's ratio will be converted to d
• This d will be converted to r

I've explained all these concepts in this video: https://youtu.be/japjv1jrWSg

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

While working on Meta-Analysis, we seek the correlation (between the given 2 variables) in the research papers.

Most scholars search for the correlation matrix but there are other forms of correlation (file attached) that we sh be aware of.

I've tried to explain it in this video:

Meta-Analysis-23 Different form of Correlation for Meta-Analysis https://youtu.be/Oli9L69ma6o 

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

MAVIS- Meta-Analysis Via SHINY is an R-package that provides a Graphic User Interface (GUI) for computing Meta-Analysis. It can handle large data and no prior knowledge of working on R-Studio is reqd.

I've explained its working in this video:

Meta-Analysis-11.2 Meta Analysis using R Studio SHINY App MAVIS: https://youtu.be/HPRzVDD83PI

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

I have explained the Mediation process (Monte Carlo procedure) in Meta-SEM in this video

Meta-SEM-8 Mediation Analysis in Meta SEM https://youtu.be/L1dSV3x3uH4

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

Meta-SEM is a three step process:

1. Perform Meta-Analysis for every pair in the given model.

2. Collect mean, std dev and alpha for every construct. Correct r using alpha.

COMPUTE COMBINED MEAN AND COMBINED STANDARD DEVIATION (Explained in this video). 

3. Perform Meta-SEM in AMOS or R-studio.

I've explained the second part of Step-2 in this video:

Meta-SEM-5.2 Computation of Combined Mean and Combined Sigma: https://youtu.be/KZbjkMc71Z8

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

Meta Analysis can be performed in R-Studio using R-package meta

I've explained the working of 

1. Meta Analysis

2. Sub group analysis

3. Meta Regression

using R-package meta in this video

Meta-Analysis-11.2 Subgroup Analysis and Meta Regression in R: https://youtu.be/VHRLvuU_QxI

Additional Study Material on R-package meta:

meta: General Package for Meta-Analysis - Workflow

https://cran.r-project.org/web/packages/meta/vignettes/meta-workflow.pdf

How to perform a meta-analysis with R: a practical tutorial by Sara Balduzzi, Gerta Rücker, Guido Schwarzer https://cran.r-project.org/web/packages/meta/vignettes/meta-tutorial.pdf

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

Combined mean and Combined Sigma can be computed very easily in R-STudio too.

I've explained the same in this video:

Meta-SEM-5.3 Computation of Combined Mean and Combined Sigma in R-Studio:

https://youtu.be/H_nuxHoGXog

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

A complete Meta-Analysis and Meta-SEM can be performed using Rpackages meta and lavaan

I've explained the same in this video:

Meta-SEM-6.2 Practical Casestudy-1: Subjective Norm in TAM using R Studio

https://youtu.be/U82yfOtPjHo

Happy Learning

Neeraj

[manisankar datta]

Respected sir 

Great resources sir 

with regards 

Manisankar Datta

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[Neeraj Kaushik]

Dear Friends,

We often encounter the challenge of not finding correlation coefficients (r) in every paper. For example, if a study uses crosstabulation and a chi-square test, or logistic regression, the correlation coefficient will not be reported.

In such cases, it is necessary to convert various statistics into effect sizes. I explained this process in the video: Meta-Analysis-22.1 Conversion among Effect Sizes

To explore this further, let's look at a case involving crosstabulation and revise the concepts. I have detailed this in the following video:

Meta-Analysis-22.2 Converting Odds Ratio to r: https://youtu.be/Qe89H7SVQEo

Happy learning,

Neeraj 

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