
- 324 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- Preface
- Notation
- Acronyms
- Author bios
- 1 Introduction
- 2 Validity
- 3 Internal structure of the test and factor analysis
- 4 Reliability
- 5 Traditional item analysis
- 6 Item analysis with regression models
- 7 Item response theory models
- 8 More complex IRT models
- 9 Differential item functioning
- 10 Outlook on applications and more advanced psychometric topics
- A Introduction to R
- B Descriptive statistics
- C Distributions of random variables
- D Measurement data in ShinyItemAnalysis
- E Exercises
- References
- Index