XI Conference – European Congress of Methodology

Session

Symposium : "Recent Developments in Meta-Analysis"

23 Jul 2025, 10:00

281. Can We Include Dichotomous Variables in Meta-Analytic Structural Equation Modeling? Mind the Prevalence

23/07/2025, 10:00

Oral Presentation

Meta-analytic structural equation modeling (MASEM) is a method to systematically synthesize results from primary studies, allowing the researchers to simultaneously examine multiple relations among variables by fitting a structural equation model to the pooled correlations. Incorporating dichotomous variables (e.g., having
a specific disease or not) into MASEM poses challenges. While primary...

282. Fitting two-level structural equation models to meta-analytic data

23/07/2025, 10:15

Oral Presentation

In a recent paper we presented a way of incorporating mean structures in meta-analytic structural equation modeling (MASEM). MASEM with means is applicable when the studies included in the meta-analysis used the same indicators, measured on the same scales. The meta-analytic data consist of the studies’covariance matrices and mean vectors. The MASEM then restricts the vector of meta-analyzed...

283. Reporting Biases Analyses in Psychological Meta-analyses: Current Practices and Robustness of Conclusions

23/07/2025, 10:30

Oral Presentation

Reporting biases are well-known phenomena that can undermine the credibility of published scientific findings and potentially distort meta-analytic effect estimates. These biases arise when the decision to publish or report results is influenced by their nature or direction. Traditionally, methods for assessing small-study effects and evaluating the robustness of results against publication...

284. Comparing Type I error and power rates in meta-regression with multiple effect sizes: A study of analytical approaches

23/07/2025, 10:45

Oral Presentation

Moderator analyses play a crucial role in meta-analysis, as they help to identify relationships between study characteristics and the effect size magnitude. When multiple effect sizes are reported within studies, various methods can be used to perform moderator analysis or meta-regression. These include three-level models (which may or may not account for variability in moderator effects...

285. Correcting for Publication Bias in Moderator Effects: A Simulation Study

23/07/2025, 11:00

Oral Presentation

Moderator analysis in meta-analysis is commonly used to study whether certain study characteristics can explain the heterogeneity in effect sizes. Understanding why effect sizes vary between contexts is important for selecting the right intervention for the right context and for guiding further research. In order to rely on the results from moderator analyses, the moderator effect estimates...

286. Correcting for publication bias in multivariate and multilevel meta-analysis: A multivariate step function selection model approach

23/07/2025, 11:15

Oral Presentation

Univariate meta-analysis models assume that all effect sizes included in the meta-analysis are independent. This assumption is violated if, for example, two outcomes are reported in a study that are of interest to the meta-analyst or a study reports multiple experiments administered by the same researchers in the same lab. The multivariate and multilevel meta-analysis model allow to model...

61. Recent Developments in Meta-Analysis

Statistical analyses

Symposium

Meta-analysis is a statistical technique that combines effect sizes from independent primary studies on the same topic, and is currently seen as the “gold standard” for synthesizing and summarizing results from multiple primary studies. The main research objectives of a meta-analysis are (i) estimating the average effect, (ii) assessing the heterogeneity of true effect sizes, and if the true...