Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Al... (Bog, Paperback / softback, Engelsk)

Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Alignment Method Applied to Multi-category Items

(Bog, Paperback / softback, Engelsk)
Forfattere: Rachel A. (Northern Illinois University) Gordon, Tianxiu (University of Pittsburgh) Wang, Hai (University of Illinois Nguyen, Ariel M. (University of Iowa) Aloe

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This Element demonstrates how and why the alignment method can advance measurement fairness in developmental science. It explains its application to multi-category items in an accessible way, offering sample code and demonstrating an R package that facilitates interpretation of such items' multiple thresholds.

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Forlag Cambridge University Press
Forfattere Rachel A. (Northern Illinois University) Gordon, Tianxiu (University of Pittsburgh) Wang, Hai (University of Illinois Nguyen, Ariel M. (University of Iowa) Aloe
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgivelsesdato 06-07-2023
Første udgivelsesår 2023
Serie Elements in Research Methods for Developmental Science
Illustrationer Worked examples or Exercises
Originalsprog United Kingdom
Sideantal 76
Indbinding Paperback / softback
Forlag Cambridge University Press
Sideoplysninger 76 pages, Worked examples or Exercises
Mål 152 x 229 x 9
ISBN-13 / EAN-13 9781009357746