Abstract
Various methods exist to assess the temporal stability of psychological constructs. In this paper we discuss common methods based on a review of the personality traits negative affectivity and social inhibition. Most methods ignore the non-normal distributions and measurement error in the questionnaire item scores. We illustrate how to handle these issues using three longitudinal latent variable models. We further highlight the importance of testing the often overlooked assumption of longitudinal measurement invariance. Lastly, we apply several longitudinal measurement invariance models, univariate and multivariate latent growth curves models, and latent trait-state occasions models to data from 2625 cancer survivors, to assess the temporal stability of negative affectivity, social inhibition, depression, anxiety, across a period of four years.
Original language | English |
---|---|
Article number | 104299 |
Number of pages | 22 |
Journal | Journal of Research in Personality |
Volume | 101 |
DOIs | |
Publication status | Published - 2022 |
Keywords
- Anxiety
- CORONARY-HEART-DISEASE
- D DISTRESSED PERSONALITY
- DS14
- Depression
- FIT INDEXES
- GROWTH
- HOSPITAL ANXIETY
- Individual change
- Latent Growth Curve Model
- Latent variable models
- Longitudinal measurement invariance
- SCALE
- STATE
- TRAITS
- Temporal stability
- Trait-State-Occasion Model
- Type D personality
- VALIDATION
Fingerprint
Dive into the research topics of 'Assessing the temporal stability of psychological constructs: An illustration of Type D personality, anxiety and depression'. Together they form a unique fingerprint.Datasets
-
Assessing the temporal stability of psychological constructs
Lodder, P. (Creator), Kupper, N. (Creator), Mols, F. (Creator), Emons, W. (Creator) & Wicherts, J. (Creator), OSF, 2020
https://osf.io/e7ajr/?view_only=41e3de13bb2e4a2eaa4168f0e124fdcc
Dataset