Integrative data analysis of self-efficacy in 4 clinical trials for alcohol use disorder.

ABSTRACT:

Background

Self-efficacy has been proposed as a key predictor of alcohol treatment outcomes and a potential mechanism of success in achieving abstinence or drinking reductions following alcohol treatment. Integrative data analysis, where data from multiple studies are combined for analyses, can be used to synthesize analyses across multiple alcohol treatment trials by creating a commensurate measure and controlling for differential item functioning (DIF) to determine whether alcohol treatments improve self-efficacy.

Method

The current study used moderated nonlinear factor analysis (MNLFA) to examine the effect of treatment on self-efficacy across four different treatment studies (N = 3720; 72.5% male, 68.4% non-Hispanic white). Self-efficacy was measured using the Alcohol Ab

SUBMITTER: Kruger ES 

PROVIDER: S-EPMC8642298 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature