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A Tutorial on Cross Wave Measurement Invariance Testing with Item Factor Analysis

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  • Author(s): R. Noah Padgett
  • Language:
    English
  • Source:
    Practical Assessment, Research & Evaluation. 2023 28.
  • Publication Date:
    2023
  • Document Type:
    Journal Articles
    Reports - Research
  • Additional Information
    • Availability:
      University of Massachusetts Amherst Libraries. 154 Hicks Way, Amherst, MA 01003. e-mail: pare@umass.edu; Web site: https://openpublishing.library.umass.edu/pare/
    • Peer Reviewed:
      Y
    • Source:
      25
    • Subject Terms:
    • ISSN:
      1531-7714
    • Abstract:
      The consistency of psychometric properties across waves of data collection provides valuable evidence that scores can be interpreted consistently. Evidence supporting the consistency of psychometric properties can come from using a longitudinal extension of item factor analysis to account for the lack of independence of observation when evaluating the cross-wave properties. In this study, we demonstrate how to conduct and interpret a longitudinal examination of psychometric properties. This demonstration uses data on the Comprehensive Measure of Meaning across two waves of data collection. A simplified, structured set of R syntax for analyses is provided, and all remaining code is freely available in the accompanying Open Science Framework repository.
    • Abstract:
      As Provided
    • Notes:
      https://osf.io/2vs3w
    • Publication Date:
      2024
    • Accession Number:
      EJ1443504