SynthesisJournal of consulting and clinical psychology2017
Meta-analysis with standardized effect sizes from multilevel and latent growth models.
Synthesis in Journal of consulting and clinical psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Cannabis use and trauma-focused treatment for co-occurring posttraumatic stress disorder and substance use disorders: A meta-analysis of individual patient data.Journal of anxiety disorders · 2024Pooled it
- Project Harmony: A Meta-Analysis With Individual Patient Data on Behavioral and Pharmacologic Trials for Comorbid Posttraumatic Stress and Alcohol or Other Drug Use Disorders.The American journal of psychiatry · 2023Pooled it
- The Efficacy of Experiential Dynamic Therapies: A 10-Year Systematic Review and Meta-Analysis Update.Clinical psychology & psychotherapyPooled it
- Evaluation of Two Web-Based Interventions (REMOTION and Res-Up!) for Clients From Psychotherapy Waitlists in Routine Outpatient Psychotherapy (Therapy Online Plus-TOP): Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Acceptability and Efficacy of a Web-Based, Intuitive Eating-Focused Single Session Intervention for Recurrent Binge Eating: A Randomized Controlled Trial.The International journal of eating disorders · 2025Trial
- Examining the Effects of a Brief, Fully Self-Guided Mindfulness Ecological Momentary Intervention on Empathy and Theory-of-Mind for Generalized Anxiety Disorder: Randomized Controlled Trial.JMIR mental health · 2024Trial
- A randomized controlled trial of a preventive intervention for the children of parents with depression: mid-term effects, mediators and moderators.BMC psychiatry · 2023Trial
- Understanding the role of positive body image during digital interventions for eating disorders: Secondary analyses of a randomized controlled trial.Body image · 2022Trial
- Enhancing psychological resilience in cyberbullying victims through AI-guided cognitive reappraisal.Internet interventions · 2026Article
- Improving body image in female Chinese social media users with eating disorder symptoms: a randomized controlled trial of two online self-guided single-session interventions.Journal of eating disorders · 2025Article
- Preventing Suicidal Thoughts and Behaviors Among Youth: Integrative Data Analysis of Crossover Impacts of the Coping Power Preventive Intervention.JAACAP open · 2025Article
- Regression-Equivalent Effect Sizes for Latent Growth Modeling and Associated Null Hypothesis Significance Tests.Structural equation modeling : a multidisciplinary journal · 2023Article
- Effect of Parameterization on Statistical Power and Effect Size Estimation in Latent Growth Modeling.Structural equation modeling : a multidisciplinary journal · 2021Article
- New Approaches for Estimation of Effect Sizes and their Confidence Intervals for Treatment Effects from Randomized Controlled Trials.The quantitative methods for psychology · 2019Article
- Time-Varying Effect Sizes for Quadratic Growth Models in Multilevel and Latent Growth Modeling.Structural equation modeling : a multidisciplinary journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
objectiveFindings from multilevel and latent growth modeling analysis (GMA) need to be included in literature reviews, and this article explicates 4 rarely discussed approaches for using GMA studies in meta-analysis.
methodExtant and new equations are presented for calculating the effect size (d) and its variance (v) from reported statistics from GMA studies with each method, and a fixed effects meta-analysis of results from 5 randomized clinical trials was conducted to demonstrate their applications.
resultsTwo common problematic practices--one that introduces bias in effect sizes because of attrition, measurement errors, and probable violations of assumptions for classical analysis, and the other that confounds the treatment effect with the intraclass correlation--were both found to yield smaller effect sizes from retrieved studies than were obtained with a newer model-based framework and its associated GMA d statistic.
conclusionsThe optimal strategy for including a GMA study in a meta-analysis is to use GMA d and its v calculated with the standard error of the unstandardized coefficient for the treatment effect. When that standard error is unknown, the use of GMA d and its v estimated with an alternative equation that requires only GMA d and sample size is recommended. (PsycINFO Database Record
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.