"PSYCH" PACKAGE

HOW TO USE "PSYCH" PACKAGE WITH R
Introduction to psych Package
William Revelle
Full Contents
Contents Summary: Part 1 - Data Entry and Data Description (2019)
http://personality-project.org/r/psych/vignettes/intro.pdf
  • 1. Overview of this and related documents
  • 2. Getting started
  • 3. Basic data analysis
  • 4. Multilevel modeling
  • 5. Multiple regression, mediation, moderation and set correlations
  • 6. Converting output to APA style tables using LATEX
  • 7. Miscellaneous functions
  • 8. Data sets
  • 9. Developing version and user's guide
  • 10. Psychometric theory
  • 11. Session information
Contents Summary: Part 2 - Scale Construction and Psychometrics (2018)
https://personality-project.org/r/psych/vignettes/overview.pdf
  • 1. Overview of this and related documents (see part 1)
  • 2. Getting started (see part 1)
  • 3. Basic data analysis (see part 1)
  • 4. Item and scale analysis
  • 5. Classical test theory and reliability
  • 6. Item response theory analysis
  • 7. Multilevel modeling
  • 8. Set correlations and multiple regression for the correlation matrix
  • 9. Simultaneous functions
  • 10. Graphical displays
How to Use the psych Package for Mediation/Moderation/Regression Analysis:
William Revelle 2020
https://personality-project.org/r/psych/HowTo/mediation.pdf
Full contents
Contents summary:
  • 1. Overview of this and related documents
  • 2. Regression using setCor
  • 3. Mediation using the mediation function
  • 4. Mediation and moderation
  • 5. Partial correlations
  • 6. Related packages
  • 7. Development version and a user's guide
  • 8. Psychometric theory
Using psych Package to Generate and Test Structural Models
William Revelle 2018
http://personality-project.org/r/psych/vignettes/psych_for_sem.pdf
Full Contents
Contents summary
  • 1. the psych package
  • 2. Functions for generating correlation matrices with a particular structure
  • 3. Exploratory functions for analyzing structure
  • 4. Exploratory Structural Equation Modeling (ESEM)
  • 5. Confirmatory models
  • 6. Summary and conclusions


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