Computational Aspects of Psychometric Methods
eBook - ePub

Computational Aspects of Psychometric Methods

With R

  1. 324 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Aspects of Psychometric Methods

With R

About this book

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application.

Key Features:

  • Statistical models and estimation methods involved in psychometric research
  • Includes reproducible R code and examples with real datasets
  • Interactive implementation in ShinyItemAnalysis application

The book is targeted toward a wide range of researchers in the field of educational, psychological, and health-related measurements. It is also intended for those developing measurement instruments and for those collecting and analyzing data from behavioral measurements, who are searching for a deeper understanding of underlying models and further development of their analytical skills.

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Yes, you can access Computational Aspects of Psychometric Methods by Patricia Martinková,Adéla Hladká in PDF and/or ePUB format, as well as other popular books in Psychology & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. Notation
  10. Acronyms
  11. Author bios
  12. 1 Introduction
  13. 2 Validity
  14. 3 Internal structure of the test and factor analysis
  15. 4 Reliability
  16. 5 Traditional item analysis
  17. 6 Item analysis with regression models
  18. 7 Item response theory models
  19. 8 More complex IRT models
  20. 9 Differential item functioning
  21. 10 Outlook on applications and more advanced psychometric topics
  22. A Introduction to R
  23. B Descriptive statistics
  24. C Distributions of random variables
  25. D Measurement data in ShinyItemAnalysis
  26. E Exercises
  27. References
  28. Index