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On the Practical Consequences of Misfit in Mokken Scaling

Daniela Ramona Crişan1, Jorge N Tendeiro1, Rob R Meijer1

  • 1University of Groningen, The Netherlands.

Applied Psychological Measurement
|August 13, 2020
PubMed

Insights

Mokken scale analysis is key for questionnaire quality. This study shows that while item issues can affect results, removing them often has minor impacts, emphasizing content validity alongside statistical rules.

Area of Science:

  • Psychometrics
  • Psychological Measurement
  • Scale Analysis

Background:

  • Mokken scale analysis is widely used for evaluating questionnaire psychometric properties.
  • Empirical studies often focus on scale formation, with less attention to the impact of violating common rules of thumb.

Purpose of the Study:

  • To investigate the practical consequences of retaining or removing items that do not meet Mokken scale analysis rules of thumb.
  • To assess the influence of low scalability items on various psychometric outcomes.

Main Methods:

  • Utilized simulated data to model the effects of item retention/removal.
  • Examined the impact on test score reliability, person ordering and selection, and criterion-related validity.

Main Results:

  • Items with low scalability demonstrated a discernible influence on reliability, person ordering, selection, and validity estimates.
  • Removing misfitting items generally resulted in minor changes to the overall outcomes.

Conclusions:

  • While some outcome variables showed robustness against scale violations, researchers should not solely depend on automated item selection algorithms.
  • Content validity is crucial for constructing meaningful psychometric instruments, complementing statistical analyses.
Keywords:
Mokken scale analysiscontent validityitem response theoryscale analysistest construction

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