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Measurement invariance in factor analytic and item response theory framework

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00580475" target="_blank" >RIV/67985807:_____/23:00580475 - isvavai.cz</a>

  • Result on the web

    <a href="https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf" target="_blank" >https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measurement invariance in factor analytic and item response theory framework

  • Original language description

    ZÁKLADNÍ ÚDAJE: The 10th European Congress of Methodology (EAM2023) Book of Abstracts. Ghent: Ghent University, 2023. s. 193-193. [EAM2023: European Congress of Methodology /10./. 11.07.2023-13.07.2023, Ghent]. ABSTRAKT: The relations between binary factor analysis (FA) model and 2-parameter item response theory (IRT) model were established some time ago (Takane & de Leeuw 1987, Kamata & Bauer 2008). However, when accounting for multiple groups and testing for between-group differences on an item level, the methods based on FA and IRT frameworks are usually considered supplementary rather than equivalent. This work focuses on relations between FA models used for testing measurement invariance and IRT models used for testing differential item functioning (DIF). We focus on equivalence of the two types of group-specific models under a set of conditions. Different types of invariance are discussed, namely configural, weak (metric), strong (scalar), and partial, together with models testing for non-uniform DIF, uniform DIF, and no DIF in all items, respectively. Computational aspects and extensions to multiple groups and ordinal items are considered. A real data example is provided to demonstrate the presented relations.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA21-03658S" target="_blank" >GA21-03658S: Theoretical foundations of computational psychometrics</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů