Related Links

RShiny Apps


Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. In solution, there is webMASEM; a web application for MASEM. This app implements the one-stage MASEM approach, and allows users to apply MASEM in a user-friendly way.

Jak, S., Hongli, L., Kolbe, L. & Cheung, M.W.-L. (under review). Meta-analytic structural equation modeling made easy: A tutorial and web application for one-stage MASEM.

metatomulti: Multi-Level Meta-Analysis

Meta-analyses are predicated on the assumption of independence of primary effect sizes, which might be routinely violated in the organizational sciences. In HubMeta, we get around this by routinely creating composite scores to ensure independence. As an alternative, meta-analysis could be cast as a multilevel, variance known (Vknown) model to account for such dependency in primary studies’ effect sizes.

Gooty, J., Banks, G. C., Loignon, A., Tonidandel, S., & Williams, C. E. (2021). Meta-analyses as a multi-level model. Organizational Research Methods, 24(2), 389-411.

Meta-Sen: A Comprehensive Sensitivity Analysis Tool for Meta-Analytic Data

Meta-Sen is a cloud-based, open access software that allows users to upload a meta-analytic dataset and provides as output all essential meta-analytic results and sensitivity analysis results.

Field, J. G., Bosco, F. A., & Kepes, S. (2020). How robust is our cumulative knowledge on turnover? Journal of Business and Psychology, 1-17.

Full Information MASEM

Treating all moderators as independent, it helps determine the range of results your meta-analytic matrix could generate.

Yu, J. J., Downes, P. E., Carter, K. M., & O’Boyle, E. (2018). The heterogeneity problem in meta‐analytic structural equation modeling (MASEM) revisited: A reply to CheungJournal of Applied Psychology103(7), 804– 811.

MetaInsight: Network Meta‐Analysis (NMA) 

Allowing the non-specialist user to carry out a popular complex analysis method, NMA, in an interactive environment within an internet browser window

Owen, R. K., Bradbury, N., Xin, Y., Cooper, N., & Sutton, A. (2019). MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta. Research Synthesis Methods, 10(4), 569-581.

Relative Importance Analysis

You can run this with a matrix, so makes a nice addition to any MASEM analysis.

Meta-Analytic Statistical Programs for R





A very interesting addition to the publication bias toolkit. Ulrich Schimmack found some really interesting properties by converting P-Curves to the inverse normal distribution. It can reveal bias where the p-curve can’t.

Continuous Time Meta-Analysis

As an alternative to discrete-time or cross-lagged meta-analyses, some are suggesting continuous time solutions. The first of these two deals with repeated measures and the second deals with between studies.

Dormann, C., Guthier, C., & Cortina, J. M. (2020). Introducing continuous time meta-analysis (CoTiMA). Organizational Research Methods23(4), 620-650.

Kuiper, R. M., & Ryan, O. (2020). Meta-analysis of lagged regression models: A continuous-time approach. Structural Equation Modeling: A Multidisciplinary Journal27(3), 396-413.

Other Meta-Analytic Resources


EMIE UI research designs and develops coding-free user experiences for accessing actionable insights for enterprise management. A special focus is on mapping, curating, and visualizing all the causal pathways to organizational performance outcomes.

Pre-Registration of Meta-analysis

Open Science Foundation and other links for registering your meta-analysis, including two generic registration forms

Systematic Review Tools

A curation of other meta-analytic related resources:

Effect Size Calculators

PsychMeta has a very comprehensive conversion package but for websites: