Why researchers should not ignore measurement error and skewness in questionnaire item scores

P. Lodder*

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorScientificpeer-review

1 Citation (Scopus)
79 Downloads (Pure)

Abstract

Researchers commonly study associations between latent variables measured with items showing ordinal and skewed score distributions. Researchers can estimate associations between latent variables according to several statistical methods that vary for instance in how they handle the presence of skewness and measurement error in the item scores. In this commentary I use a computer simulation to illustrate that ignoring skewness or measurement error in questionnaire item scores often results in biased effect estimates, especially when testing interaction effects.
Original languageEnglish
Article number2070250
Pages (from-to)321-324
Number of pages4
JournalReligion, Brain & Behavior
Volume13
Issue number3
DOIs
Publication statusPublished - 2023

Keywords

  • Variables

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