Boekstra.nl - Gordon, Rachel A. (Northern Illinois University), Wang, Tianxiu (University of Pittsburgh), Nguyen, Hai (University of Illinois, Aloe, Ariel M. (University of Iowa) - Identifying and Minimizing Measurement Invariance among Intersectional Groups

Identifying and Minimizing Measurement Invariance among Intersectional Groups

The Alignment Method Applied to Multi-category Items

Gordon, Rachel A. (Northern Illinois University), Wang, Tianxiu (University of Pittsburgh), Nguyen, Hai (University of Illinois, Aloe, Ariel M. (University of Iowa) - Identifying and Minimizing Measurement Invariance among Intersectional Groups

Omschrijving

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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Schrijver: Gordon, Rachel A. (Northern Illinois University), Wang, Tianxiu (University of Pittsburgh), Nguyen, Hai (University of Illinois, Aloe, Ariel M. (University of Iowa)
Titel: Identifying and Minimizing Measurement Invariance among Intersectional Groups
Uitgever: Cambridge University Press

Jaar: 2023
Taal: Engels
Pagina's: 75
Gewicht: 138 gr

EAN: 9781009357746
Afmetingen: 152 x 229 x 9 mm
Bindwijze: Paperback / softback

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Identifying and Minimizing Measurement Invariance among Intersectional Groups

The Alignment Method Applied to Multi-category Items

Omschrijving

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