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Algorithms for measurement invariance testing : contrasts and connectionsCole, Veronica T. ; Lacey, Conor H.Latent variable models are a powerful tool for measuring many of the phenomena in which developmental psychologists are often interested. If these phenomena are not measured equally well among all ... participants, this would result in biased inferences about how they unfold throughout development. In the absence of such biases, measurement invariance is achieved; if this bias is present, differential item functioning (IDF) would occur. This Element introduces the testing of measurement invariance/DIF through nonlinear factor analysis. After introducing models which are used to study these questions, the Element uses them to formulate different definition of measurement invariance and IDF. It also focuses on differrent procedures for locating and quantifying this effects. The Element finally provides recommendations for researchers about how to navigate these options to make valid inferences about measurement in their own data.Type of material - book ; adult, seriousPublication and manufacture - Cambridge [etc.] : Cambridge University Press, 2023Language - englishISBN - 978-1-009-30338-5; 1-009-30338-4; 978-1-009-45417-9; 1-009-45417-XCOBISS.SI-ID - 191545091
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Library | Call number – location, accession no. ... | Copy status |
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Faculty of Arts, Lj. | OHK - Psihologija 159.9.075 COLE V.T. Algorithms |
on loan - outside loan, due date: not specified |
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Cole, Veronica T. | ![]() |
Lacey, Conor H. | ![]() |
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and: SICRIS
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