ABSTRACT

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.

chapter 1|24 pages

Introduction

chapter 2|30 pages

Validity

chapter 4|34 pages

Reliability

chapter 5|16 pages

Traditional item analysis

chapter 6|28 pages

Item analysis with regression models

chapter 7|32 pages

Item response theory models

chapter 8|24 pages

More complex IRT models

chapter 9|44 pages

Differential item functioning