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Do Two or More Multicomponent Instruments Measure the Same Construct? Testing Construct Congruence Using Latent

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Summary
This summary is machine-generated.

This study introduces a latent variable modeling procedure to confirm if multiple instruments measure the same construct. This method is useful for scale development and validation, even with non-normal or incomplete data.

Keywords:
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Area of Science:

  • Psychometrics
  • Statistical Modeling
  • Psychological Measurement

Background:

  • Assessing the equivalence of measurement instruments is crucial in research.
  • Multicomponent instruments require robust methods to verify shared construct measurement.
  • Existing methods may face limitations with non-normal or incomplete data.

Purpose of the Study:

  • To present a latent variable modeling procedure for testing measurement invariance across homogeneous multicomponent instruments.
  • To provide a versatile tool for scale construction, development, and construct validation.
  • To offer a method applicable to empirical data with non-normality or missing values.

Main Methods:

  • Latent variable modeling.
  • Testing model nesting restrictions.
  • Procedures applicable to non-normal and incomplete datasets.

Main Results:

  • The proposed procedure effectively tests if distinct components of instruments measure the same underlying construct.
  • The method facilitates the examination of latent variable collapsibility in multidimensional instruments.
  • Demonstrated utility through two empirical data examples.

Conclusions:

  • The discussed latent variable modeling procedure offers a robust approach for evaluating measurement invariance.
  • This method is valuable for ensuring the validity and reliability of psychological scales and measures.
  • The procedure's adaptability to real-world data challenges enhances its practical applicability in research settings.