Modeling insufficient effort responses in mixed-worded scales

Kuan-Yu JIN, Ming Ming CHIU

Research output: Contribution to journalArticlespeer-review

2 Citations (Scopus)

Abstract

Surveys often add reverse-coded questions to monitor respondents with insufficient effort responses (IERs) but often wrongly assume that all respondents consistently answer all questions with full effort. By contrast, this study expanded the mixture model for IERs and ran a simulation via LatentGOLD to show the harmful consequences of ignoring IERs to positively and negatively worded questions: less test reliability, bias and less accuracy in slope and intercept parameters. We showed its practical application to two public data sets: Machiavellianism (five-point scale) and self-reported depression (four-point scale). Copyright © 2023 The Psychonomic Society, Inc.

Original languageEnglish
JournalBehavior Research Methods
Early online dateJun 2023
DOIs
Publication statusE-pub ahead of print - Jun 2023

Citation

Jin, K.-Y., & Chiu, M. M. (2023). Modeling insufficient effort responses in mixed-worded scales. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-023-02146-w

Keywords

  • Item response theory
  • Latent class
  • Quantitative research
  • Survey research
  • Measurement models

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