David B Wilson
Professor at George Mason University
This is a great tool for meta-analyses of correlations. The tool allows you to code all available correlations from studies but importantly ensures independence among correlations that are contributing to any given meta-analytic aggregation.
John Kammeyer-Mueller
Professor at University of Minnesota
After looking on briefly at HubMeta, I imagined how many hours of coding and sorting data could have been saved on my last project. I am certain that my future meta-analyses will be taking advantage of this truly groundbreaking tool.
Ernest O'Boyle
Associate Professor at Indiana University
A remarkably user-friendly and interactive platform that will improve coding accuracy, data transparency, and methodological and analytic rigor. A game changer for meta-analysts!
In-Sue Oh
Professor at Temple University
HubMeta so far seems to be a very smart and efficient way to conduct a psychometric meta-analysis, with excellent construct and moderator features. I plan on registering and actually using this tool for my next meta-analyses.
Zhanna Lyubykh
Researcher, PhD Student at University of calgary
I’ve used HubMeta for nine months now and it is definitely user friendly, flexible, fast, easy and significantly reduces errors. With a responsive support team that is constantly making improvements, you’ll find it even better. I wouldn’t do a meta-analysis without it!
Shaun Parkinson
Washington State University
Having a system to organize our team’s collaboration on a meta-analysis is amazing. HubMeta is especially helpful in organizing constructs so that you can better understand the implications of your analysis. It will help us do better and more consistent meta-analysis.
Jeremy Mackey
Associate Professor at Auburn University
HubMeta has the potential to fundamentally improve the quality of meta-analyses and the speed at which they are produced. Additionally, it has the ability to enhance the transparency and replicability of meta-analytic findings. The expansion of HubMeta’s user base and data base over time likely will create fantastic opportunities for collaboration. HubMeta could even facilitate collaboration on massive meta-analytic projects that were once thought unmanageable. Thus, HubMeta could become an important tool for advancing science and generating robust evidence-based recommendations for practice.
