{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kruger ES"],"funding":["NIAAA NIH HHS"],"pagination":["944-952"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9683348"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["29(6)"],"pubmed_abstract":["Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of behavior change because LGCMM models establish temporal precedence of change from the mediator to the outcome variable. The Correlated Augmented Mediation Sensitivity Analyses (CAMSA) App implements sensitivity analysis for LGCMM models to evaluate if a mediating path (mechanism) is robust to potential confounding variables. The CAMSA approach is described and applied to simulated data, and data from a research study exploring a mechanism of change in the treatment of substance use disorder."],"journal":["Structural equation modeling : a multidisciplinary journal"],"pubmed_title":["Teacher's Corner: An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation."],"pmcid":["PMC9683348"],"funding_grant_id":["R01 AA025539"],"pubmed_authors":["Hsiao YY","Tofighi D","Witkiewitz K","MacKinnon DP","Lee Van Horn M","Kruger ES"],"additional_accession":[]},"is_claimable":false,"name":"Teacher's Corner: An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation.","description":"Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of behavior change because LGCMM models establish temporal precedence of change from the mediator to the outcome variable. The Correlated Augmented Mediation Sensitivity Analyses (CAMSA) App implements sensitivity analysis for LGCMM models to evaluate if a mediating path (mechanism) is robust to potential confounding variables. The CAMSA approach is described and applied to simulated data, and data from a research study exploring a mechanism of change in the treatment of substance use disorder.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-05T15:48:48.928Z","creation":"2025-04-05T15:48:48.928Z"},"accession":"S-EPMC9683348","cross_references":{"pubmed":["36439330"],"doi":["10.1080/10705511.2022.2045203"]}}