Computational aspects of psychometric methods : with R

By:

Martinková, Patrícia

Contributor(s):

Hladká, Adéla

Series: Statistics in the Social and Behavioral SciencesPublication details: CRC Press 2023 Boca RatonDescription: 323 pISBN:

9780367515393

Subject(s):

DDC classification:

150.287 MAR

Summary: This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It explores the computational aspects of psychometric methods in social sciences, including validity, reliability, item analysis, and computerized adaptive testing. It covers statistical theory, estimation methods, and algorithms, and provides examples in R and an interactive ShinyItemAnalysis application. It is targeted towards researchers in educational, psychological, and health-related measurements, as well as those developing measurement instruments.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Jammu General Stacks	Non-fiction	150.287 MAR (Browse shelf(Opens below))	Available		IIMJ-8247

Total holds: 0

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Previous	150.285 NET Network psychometrics with R : a guide for behavioral and social scientists	150.287 COO Introduction to psychometrics and psychological assessment : using, interpreting and developing tests	150.287 DEB Introduction to the Rasch model with examples in R	150.287 MAR Computational aspects of psychometric methods : with R	150.72 SAL Exploring research	152.182 KEA Touch: recovering our most vital sense	152.189 CYT Synesthesia	Next

Table of Contents: Chapter 1: Introduction Chapter 2: Validity Chapter 3: Internal structure of test and factor analysis Chapter 4: Reliability Chapter 5: Traditional item analysis Chapter 6: Item analysis with regression models Chapter 7: Item response theory models Chapter 8:More complex IRT models Chapter 9: Differential item functioning Chapter 10: Outlook on applications and more advanced psychometric topics

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It explores the computational aspects of psychometric methods in social sciences, including validity, reliability, item analysis, and computerized adaptive testing. It covers statistical theory, estimation methods, and algorithms, and provides examples in R and an interactive ShinyItemAnalysis application. It is targeted towards researchers in educational, psychological, and health-related measurements, as well as those developing measurement instruments.

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