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.
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.
An online platform that enacts metafor.
Umaroglu M., Ozdemir P. (2018, November 26-28). metaHUN: a web tool for meta-analysis [Oral Presentation]. 3rd International and 20th National Biostatistics Congress, Gaziantep, Turkey.
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.
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 Cheung. Journal of Applied Psychology, 103(7), 804– 811.
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.
You can run this with a matrix, so makes a nice addition to any MASEM analysis.
Enables backward and forward citation chaining
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.
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 Methods, 23(4), 620-650.
Kuiper, R. M., & Ryan, O. (2020). Meta-analysis of lagged regression models: A continuous-time approach. Structural Equation Modeling: A Multidisciplinary Journal, 27(3), 396-413.
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.
Open Science Foundation and other links for registering your meta-analysis, including two generic registration forms
A curation of other meta-analytic related resources:
Helping you find the articles in the first place:
PsychMeta has a very comprehensive conversion package but for websites: