Assessing Meaningful Within-Person Variability in Likert-Scale Rated Personality Descriptions: An IRT Tree Approach

Jonas W.B. Lang*, Filip Lievens, Filip De Fruyt, Ingo Zettler, Jennifer L. Tackett

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Personality researchers and clinical psychologists have long been interested in within-person variability in a given personality trait. Two critical methodological challenges that stymie current research on within-person variability are separating meaningful within-person variability from (a) true differences in trait level; and (b) careless responding (or person unreliability). To partly avoid these issues, personality researchers commonly only study within-person variability in personality states over time using the standard deviation (SD) across repeated measurements of the same items (typically across days)-a relatively resource-intensive approach. In this article, we detail an approach that allows researchers to measure another type of within-person variability. The described approach utilizes item-response theory (IRT) on the basis of Böckenholt's (2012) three-process model, and extracts a meaningful variability score from Likert-ratings of personality descriptions that is distinct from directional (trait) responding. Two studies (N = 577; N = 120-235) suggest that IRT variability generalizes across traits, has high split-half reliability, is not highly correlated with established indices of IRT person unreliability for directional trait responding, and correlates with within-person SDs from personality inventories and within-person SDs in a diary study with repeated measurements across days 20 months later. The implications and usefulness of IRT variability from personality descriptions as a conceptually clarified, efficient, and feasible assessment of within-person variability in personality ratings are discussed.

Original languageEnglish (US)
Pages (from-to)474-487
Number of pages14
JournalPsychological assessment
Volume31
Issue number4
DOIs
StatePublished - Apr 2019

Keywords

  • Adaptability
  • Flux
  • Psychometrics
  • Tree models
  • Variability

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

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