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Algorithms for Measurement Invariance Testing

Contrasts and Connections

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Measurement invariance and differential item functioning (DIF) are critical concepts in developmental psychology, as biased measurements can lead to incorrect conclusions about developmental phenomena. This Element explores the testing of measurement invariance and DIF through nonlinear factor analysis, presenting models and definitions relevant to these concepts. It also discusses various procedures for identifying and quantifying these biases. Additionally, it offers practical recommendations for researchers to ensure valid inferences in their data analysis.

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Algorithms for Measurement Invariance Testing, Conor H Lacey, Veronica Cole

Lingua
Pubblicato
2023
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Titolo
Algorithms for Measurement Invariance Testing
Sottotitolo
Contrasts and Connections
Lingua
Inglese
Pubblicato
2023
Formato
Copertina rigida
Pagine
94
ISBN13
9781009454179
Serie
Descrizione
Measurement invariance and differential item functioning (DIF) are critical concepts in developmental psychology, as biased measurements can lead to incorrect conclusions about developmental phenomena. This Element explores the testing of measurement invariance and DIF through nonlinear factor analysis, presenting models and definitions relevant to these concepts. It also discusses various procedures for identifying and quantifying these biases. Additionally, it offers practical recommendations for researchers to ensure valid inferences in their data analysis.