Description
- Abstract:
- According to the revised Reinforcement Sensitivity Theory (r-RST) there are three systems (i.e., the Behavioral Approach System [BAS], the Fight-Flight-or Freeze System (FFFS), and the Behavioral Inhibition System [BIS]) that influence individual differences in reactivity to reward and punishment. Research supports the r-RST as a useful transdiagnostic framework to investigate the development of psychopathology and other health related behaviors. However, there is no consensus on an optimal assessment strategy, and a variety of self-report tools have been developed. The ‘Jackson-5’ measure of r-RST has been proposed as a psychometrically sound self-report tool though previous research has modeled sex as a causal indicator the suggests that the latent properties of this questionnaire may differ across sex. In this study, we considered the moderation across sex by applying a structural equation modeling framework. We utilized multi-group confirmatory factor analyses to test for measurement invariance (configural, metric, and scalar) of the ‘Jackson-5’ across sex. There were substantial psychometric differences in the functioning of the questionnaire across sex, suggesting that the scales are not comparable across sex. These findings were not able to be verified using conventional regression techniques as well. This may indicate that the ‘Jackson-5’ scales may not be a useful tool for investigating sex differences, and we caution using the ‘Jackson-5’ to make inferences across sex.
- Notes:
- Thesis (Sc. M.)--Brown University, 2020
Access Conditions
- Rights
- In Copyright
- Restrictions on Use
- All rights reserved. Collection is open to the Brown community for research.
Citation
Mercado, Nadia,
"Testing the latent structure of the ‘Jackson-5’ measure of reinforcement sensitivity across sex"
(2020).
Biostatistics Theses and Dissertations.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/smpk-es71
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Biostatistics Theses and Dissertations
Theses and Dissertations for the Biostatistics department....