1. Karl Wuensch’s Statistics Lessons 

2. PROCESS Macro

3. Kristopher J. Preacher Mediation and Moderation resources

4. David A. Kenny Mediation and Moderation resources 

5. Mediation and Moderation workshop Course Plan from IIT Bombay. 

6. Data Analysis for Social Science Teachers (SWAYAM Course).  

7. Murugan Pattusamy-YouTube Channel videos. 

My videos on SEM: 

1. Part 01- Introduction to Structural Equation modelling (SEM)

2. Part 02-Why SEM? Comparison Between MLRM, CFA, Path and SEM

3. Part 03- SEM History

4. Part 04- Conducting SEM

5. Part 01- Confirmatory Factor Analysis (CFA)

6. Part 02- Confirmatory Factor Analysis CFA

7. Part 03- Confirmatory Factor Analysis (CFA)

8. Part 04- Confirmatory Factor Analysis CFA

9. Confirmatory factor analysis (CFA) Using AMOS

10. Structural Equation Modelling (SEM) using AMOS

11. Confirmatory Factor Analysis using R Studio Part 1

12. Confirmatory Factor analysis using R Studio Part 2

13. Structural Equation Modeling using R Studio

My videos on Mediation Analysis: 

1. Part 01- Mediation Analysis

2. Part 02- Mediation Analysis

3. Part 03- Mediation Analysis

4. Part 04- Mediation Analysis

5. Part 05- Mediation Analysis

6. Part 06- Mediation Analysis

7. Mediation Analysis using Regression analysis and PROCESS Macro

My videos on Moderation analysis: 

1. Part 01- Moderation analysis

2. Part 02- Moderation Analysis

3. Part 03- Moderation analysis

4. Part 04- Moderation analysis

5. Part 05- Moderation Analysis

6. Moderation Analysis using Regression analysis and PROCESS Macro

My videos on Moderated Mediation Analysis: 

1. Part 01- Moderated Mediated Analysis

2. Part 02- Moderated Mediated Analysis

3. Part 03- Moderated Mediated Analysis

4. Part 04- Moderated Mediated Analysis

5. Part 05- Moderated Mediated Analysis

6. Part 06- Moderated Mediated Analysis

7. Part 07- Moderated Mediated Analysis

8. Moderated Mediation analysis using PROCESS Macro

1. jamovi is a new “3rd generation” statistical spreadsheet. designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS. 

2. JASP is an open-source project supported by the University of Amsterdam. 

3. Bluesky statistics-Provides familiar powerful user interface available in mainstream statistical applications like SPSS, SAS etc. Unlocks the power of R for the analyst community by providing a rich GUI and output for several popular statistics, data mining, data manipulation and graphics commands, all out of the box.

4. PSPP is GNU software. You can obtain it the same way as with any GNU software. PSPP should work on most modern computers and most operating systems. Systems which have been known to work include: GNU/Hurd, GNU/Linux, Darwin (Mac OS X), OpenBSD, NetBSD, FreeBSD, and Windows. 

5. gretl-Is a cross-platform software package for econometric analysis, written in the C programming language. It is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. 

6. Bayes Regression-Free stand-alone, menu-driven software for Bayesian regression analysis, for Windows 10 or 7. The Bayesian Regression software package currently includes 100 Bayesian models for data analysis, including 5 models for Bayesian density estimation. 

7. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror. Some of the GUI based packages are Rcmdr, Rattle and Rweka. 

8. End to End Data Science At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.

9. Python is powerful... and fast; plays well with others; runs everywhere; is friendly & easy to learn; is Open. These are some of the reasons people who use Python would rather not use anything else.

10. Orange-Data Mining Fruitful and Fun Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox.

11. Weka is tried and tested open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j. 

1. AQUAD: Originally developed by Günter Huber at the University of Tübingen for analysis of textual, audio, video, and image data, a detailed listing of features can be found at AQUAD Features.

2. QDA Miner Lite: This is the free version of QDA Miner developed by Provalis Research. To compare features and download QDA Miner Lite, visit Provalis QDA Miner.

3. Qigga: QDA and reference manager software originally developed at Cambridge University and now continued as open source on GitHub. You can read about features on the Cambridge site but you'll need to download it from GitHub. Not for the technically faint-hearted.

4. Qualcoder: Developed by Colin Curtain of Australia as a fallout of his PhD work using RQDA. If you like RQDA, this may boost your research to include audio and video.

5. RQDA & QCoder: If you are a fan of R or R Studio, you will enjoy coding data with RQDA. 

6. Taguette: The Taguette team, led by Rémi Rampin, developed Taguette to "bolster fair and equitable entry" into qualitative data analysis. Check out the features for text analysis. 

7. GATE (General Architecture for Text Engineering) -GATE is an open source software toolkit capable of solving almost any text processing problem. 

1. Zotero-Zotero is a free and open source reference management software which means you don’t need to pay for it and you can also customize it as per your requirements. It is considered as one of the best reference management software as it can run on multiple devices like laptop, iPad, Smartphone, etc.

2. JabRef-JabRef is an open source and free reference management software that uses BibTeX - a standard LaTeX bibliography format.

3. Docear- Docear is a free and open source reference management solution that works on Windows, Linux, and Mac OS X platforms. 

4. Pybliographer-Pybliographer is a free and open source reference management software that is developed using Python and licensed under GNU GPL. It deals with bibliographic databases helping to view, edit, search and reformat references. 

5. Mendeley-Mendeley is one of the most popular reference management solutions that allow users to generate citations and bibliographies in LibreOffice, Microsoft Word, and LaTex. It is excellent in terms of collaboration, as it allows you to connect other users and share your research papers, annotations, and notes.