Algorithms for Measurement Invariance Testing

Released on by Veronica Cole
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  • Algorithms for Measurement Invariance Testing Book Detail

  • Author : Veronica Cole
  • Release Date : 2023-12-31
  • Publisher : Cambridge University Press
  • Genre : Psychology
  • Pages : 153
  • ISBN 13 : 1009303392
  • File Size : 99,99 MB
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Algorithms for Measurement Invariance Testing by Veronica Cole PDF Summary

Book Description: 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 (DIF) 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 definitions of measurement invariance and DIF. It also focuses on different procedures for locating and quantifying these effects. The Element finally provides recommendations for researchers about how to navigate these options to make valid inferences about measurement in their own data.

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The Wiley Handbook of Psychometric Testing

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A must-have resource for researchers, practitioners, and advanced students interested or involved in psychometric testing Over the past hundred years, psychomet