Rasch Measurement Theory Analysis in R (Chapman & Hall/CRC The R Series) - Softcover

Wind, Stefanie; Hua, Cheng

Softcover

ISBN 10: 0367776391 ISBN 13: 9780367776398

Verlag: Chapman and Hall/CRC, 2022

Inhaltsangabe

Provides researchers & practitioners with a step-by-step guide for conducting Rasch measurement theory analyses. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results.

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Über die Autorin bzw. den Autor

Stefanie A. Wind is an Associate Professor of Educational Measurement at the University of Alabama. Her primary research interests include the exploration of methodological issues in the field of educational measurement, with emphases on methods related to rater-mediated assessments, rating scales, Rasch models, item response theory models, and nonparametric item response theory, as well as applications of these methods to substantive areas related to education.

Cheng Hua is a Ph.D. candidate in Educational Measurement program at the University of Alabama. His primary research interests include Rasch Measurement theory, advanced regression models, Bayesian statistics, and visual learning tools (such as Mind Maps and Concept Maps). He enjoys applying his psychometric and statistical skills to address real-world research questions through interdisciplinary collaborations.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 0367776391
• ISBN 13: 9780367776398
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 322
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar