Mechanisms of behavior change in substance use disorder with and without formal treatment
This article provides a narrative review of studies that examined mechanisms of behavior
change in substance use disorder. Several mechanisms have some support, including self …
change in substance use disorder. Several mechanisms have some support, including self …
Self-efficacy as a potential mechanism of behavior change in mindfulness-based relapse prevention
DIK Moniz-Lewis, ER Stein, S Bowen, K Witkiewitz - Mindfulness, 2022 - Springer
Objectives Self-efficacy, the belief in one's ability to moderate or abstain from heavy drinking
and drug use, predicts outcomes following substance use disorder (SUD) treatment. The …
and drug use, predicts outcomes following substance use disorder (SUD) treatment. The …
Indirect effects in sequential mediation models: Evaluating methods for hypothesis testing and confidence interval formation
Complex mediation models, such as a two-mediator sequential model, have become more
prevalent in the literature. To test an indirect effect in a two-mediator model, we conducted a …
prevalent in the literature. To test an indirect effect in a two-mediator model, we conducted a …
Selecting a within-or between-subject design for mediation: Validity, causality, and statistical power
AK Montoya - Multivariate Behavioral Research, 2023 - Taylor & Francis
Researchers with mediation hypotheses must consider which design to use: within-subject
or between-subject? In this paper, I argue that three factors should influence design choice …
or between-subject? In this paper, I argue that three factors should influence design choice …
Intensive longitudinal mediation in Mplus.
D McNeish, DP MacKinnon - Psychological methods, 2022 - psycnet.apa.org
Much of the existing longitudinal mediation literature focuses on panel data where relatively
few repeated measures are collected over a relatively broad timespan. However …
few repeated measures are collected over a relatively broad timespan. However …
The impact of measurement error and omitting confounders on statistical inference of mediation effects and tools for sensitivity analysis.
To make valid statistical inferences from mediation analysis, a number of assumptions need
to be assessed. Among the assumptions, 2 frequently discussed ones are (a) the …
to be assessed. Among the assumptions, 2 frequently discussed ones are (a) the …
Using ant colony optimization for sensitivity analysis in structural equation modeling
Studies using structural equation modeling (SEM) to evaluate theories against observed
data rely on multiple sources of evidence to support a proposed model, such as fit indices …
data rely on multiple sources of evidence to support a proposed model, such as fit indices …
Income disparity in school readiness and the mediating role of perinatal maternal mental health: a longitudinal birth cohort study
AimsThere is compelling evidence for gradient effects of household income on school
readiness. Potential mechanisms are described, yet the growth curve trajectory of maternal …
readiness. Potential mechanisms are described, yet the growth curve trajectory of maternal …
Bayesian (non) linear random effects mediation models: Evaluating the impact of omitting confounders.
Often in educational and psychological studies, researchers are interested in understanding
the mediation mechanism of longitudinal (repeated measures) variables. Almost all …
the mediation mechanism of longitudinal (repeated measures) variables. Almost all …
The impact of omitting confounders in parallel process latent growth curve mediation models: Three sensitivity analysis approaches
Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to
longitudinally investigate the mediation effects of treatment on the level and change of …
longitudinally investigate the mediation effects of treatment on the level and change of …