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Ariel M. Aloe – författare

Visar alla böcker från författaren Ariel M. Aloe. Handla med fri frakt och snabb leverans.

3 produkter

  1. Rachel A. Gordon, Tianxiu Wang, Hai Nguyen, Ariel M. Aloe - Identifying and Minimizing Measurement Invariance among Intersectional Groups, Häftad. Tillgänglighet: Lägg i varukorg

    Identifying and Minimizing Measurement Invariance among Intersectional Groups

    The Alignment Method Applied to Multi-category Items

    Av Rachel A. Gordon, Tianxiu Wang m. fl.

    Häftad, 2023

    274 kr

    Lägg i varukorg

    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 …

  2. Ariel M. Aloe, Hai Nguyen, Tianxiu Wang, Rachel A. Gordon - Identifying and Minimizing Measurement Invariance among Intersectional Groups, E-bok. Tillgänglighet: Lägg i varukorg

    Identifying and Minimizing Measurement Invariance among Intersectional Groups

    The Alignment Method Applied to Multi-category Items

    Av Ariel M. Aloe, Hai Nguyen m. fl.

    E-bok, 2023

    286 kr

    Lägg i varukorg

    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'' …

  3. Ariel M. Aloe, Hai Nguyen, Tianxiu Wang, Rachel A. Gordon - Identifying and Minimizing Measurement Invariance among Intersectional Groups, E-bok. Tillgänglighet: Lägg i varukorg

    Identifying and Minimizing Measurement Invariance among Intersectional Groups

    The Alignment Method Applied to Multi-category Items

    Av Ariel M. Aloe, Hai Nguyen m. fl.

    E-bok, 2023

    286 kr

    Lägg i varukorg

    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'' …