ArticleJournal of adolescence2019
Meta-analytic approaches for examining complexity and heterogeneity in studies of adolescent development.
Article in Journal of adolescence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 7 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
14 citing papers in PubMed, 7 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Effects of integrated programs for substance-involved mothers on infant and child development outcomes: A systematic review and meta-analysis.Infant mental health journal · 2025Pooled it
- Influence of maternal diabetes during pregnancy on ultrasound-measured fetal epicardial fat thickness: A meta-analysis.Biomolecules & biomedicine · 2025Pooled it
- Implication of surgical loupes on complications following thyroidectomy: a meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Pooled it
- Is sibship composition a risk factor for childhood asthma? Systematic review and meta-analysis.World journal of pediatrics : WJP · 2023Pooled it
- Investigating for Whom Brief Substance Use Interventions Are Most Effective: An Individual Participant Data Meta-analysis.Prevention science : the official journal of the Society for Prevention Research · 2023Pooled it
- Effects of brief substance use interventions delivered in general medical settings: a systematic review and meta-analysis.Addiction (Abingdon, England) · 2022Pooled it
- Using Machine Learning to Identify and Investigate Moderators of Alcohol Use Intervention Effects in Meta-Analyses.Alcohol and alcoholism (Oxford, Oxfordshire) · 2022Pooled it
- Increasing Truck Drivers' Compliance, Retention, and Long-Term Engagement with e-Health & Mobile Applications: A PRISMA Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Change ofFrontiers in psychology · 2026Article
- The impact of Information and Communication Technology (ICT) on learning outcomes in early childhood and primary education: a meta-analysis of moderating factors.Frontiers in psychology · 2025Review
- Beyond sleep duration: protocol for a systematic review of multidimensional sleep health in relation to cardiovascular disease and mortality.Frontiers in sleep · 2024Article
- Birth order, sibship size, and risk of atopic dermatitis, food allergy, and atopy: A systematic review and meta-analysis.Clinical and translational allergy · 2023Review
- Modern Meta-Analytic Methods in Prevention Science: Introduction to the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- Using Bayesian Meta-Regression to Advance Prevention Science Research: an Introduction and Empirical Illustration.Prevention science : the official journal of the Society for Prevention Research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
introductionIn the field of adolescent development, meta-analysis offers valuable tools for synthesizing and assessing cumulative research evidence on the effectiveness of programs, practices, and policies intended to promote healthy adolescent development. When examining the impact of a program implemented across multiple primary studies, variation is often observed in the methodological attributes of those primary studies, such as their implementation methods, program components, participant characteristics, outcome measurement, and the systems in which programs are deployed. Differences in methodological attributes of primary studies represented in a meta-analysis, referred to as complexity, can yield variation in true effects across primary studies, which is described as heterogeneity.
methodsWe discuss heterogeneity as a parameter of interest in meta-analysis, introducing and demonstrating both graphical and statistical methods for evaluating the magnitude and impact of heterogeneity. We discuss approaches for presenting characteristics of heterogeneity in meta-analytic findings, and methods for identifying and statistically controlling for aspects of methodological complexity that may contribute to variation in effects across primary studies.
resultsTopics and methods related to assessing and explaining heterogeneity were contextualized in the field of adolescent development using a sample of primary studies from a large meta-analysis examining the effectiveness of brief alcohol interventions for youth. We highlighted approaches currently underutilized in the field and provided R code for key methods to broaden their use.
conclusionsBy discussing various heterogeneity statistics, visualizations, and explanatory methods, this article provides the applied developmental researcher a foundational understanding of complexity and heterogeneity in meta-analysis.
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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.