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Examining Class Differences in Method Effects Related to Negative Wording: An Example using Rasch Mixture Modeling.

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This study reveals that negatively worded items in surveys can affect responses differently based on personality traits. A mixture Rasch model identified distinct groups, showing varied impacts of this method effect.

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Area of Science:

  • Psychometrics
  • Psychological Measurement
  • Statistical Modeling

Background:

  • Method effects, particularly from negatively worded items, can bias survey results.
  • Understanding response variability across different groups is crucial for accurate measurement.

Purpose of the Study:

  • To investigate method effects of negatively worded items using a mixture Rasch model.
  • To explore how group characteristics, specifically personality traits, influence these method effects.

Main Methods:

  • Applied a mixture Rasch model to analyze responses on the Rosenberg Self-Esteem Scale.
  • Utilized six personality measures to identify latent classes associated with method effects.

Main Results:

  • Identified four distinct latent classes among college students.
  • Rasch-based estimates indicated differences in scale usage across latent classes.
  • The method effect of negatively worded items was more pronounced for individuals with specific personality traits.

Conclusions:

  • A mixture Rasch model effectively accounts for systematic variation due to method effects in heterogeneous populations.
  • Personality traits moderate the impact of negatively worded items, highlighting the need for nuanced analysis.