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lesson_25_rest.Rmd
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lesson_25_rest.Rmd
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---
title: 'Lesson 25, 26 Reliability, Factor Analysis, MANOVA and other topics'
---
## Lesson 25, 26 Reliability, Factor Analysis, MANOVA and other topics
### Lecture Slides
* Multicollinearity, Factor Analysis and Discriminant Analysis
- PPT Slides [https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/ResearchRoundtable_multicollinearity_12Oct2007final_videoMP4.ppt](https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/ResearchRoundtable_multicollinearity_12Oct2007final_videoMP4.ppt)
- Embedded Video 1 [https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/NDV3.mp4](https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/NDV3.mp4)
- Embedded Video 2 [https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/ProfilePlots2.mp4](https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/ProfilePlots2.mp4)
* Moderation, Mediation
- Slides - PPT [https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/ModeratorMediators_21Nov08.ppt](https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/ModeratorMediators_21Nov08.ppt)
- Slides - PDF [https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/ModeratorMediators_21Nov08.pdf](https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/ModeratorMediators_21Nov08.pdf)
* Structural Equation Modeling
- Slides - PPT [https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/SEMResearchRoundtable_13April2009.pptx](https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/SEMResearchRoundtable_13April2009.pptx)
- Slides - PDF [https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/SEMResearchRoundtable_13April2009.pdf](https://github.com/melindahiggins2000/N736Fall2017_lesson26/raw/master/SEMResearchRoundtable_13April2009.pdf)
### Examples and Analysis Codes - Reliability and Factor Analysis
* R code [https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/lesson24_Rcode.R](https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/lesson24_Rcode.R)
* R output [https://melindahiggins2000.github.io/N736Fall2017_lesson24/lesson24_Rmarkdown.html](https://melindahiggins2000.github.io/N736Fall2017_lesson24/lesson24_Rmarkdown.html)
* SAS Code [https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/lesson24.sas](https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/lesson24.sas)
* SAS Output [https://melindahiggins2000.github.io/N736Fall2017_lesson24/SAS_output_lesson24.htm](https://melindahiggins2000.github.io/N736Fall2017_lesson24/SAS_output_lesson24.htm)
* SPSS Code [https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/SPSS_Syntax_lesson24.sps](https://github.com/melindahiggins2000/N736Fall2017_lesson24/raw/master/SPSS_Syntax_lesson24.sps)
* SPSS Output [https://melindahiggins2000.github.io/N736Fall2017_lesson24/SPSS_Output_lesson24.htm](https://melindahiggins2000.github.io/N736Fall2017_lesson24/SPSS_Output_lesson24.htm)