HubMeta is the first free web-based data entry system for correlational Meta-Analysis. It is the easiest way to conduct massive meta-analyses that reviewers won`t forget.
It’s free and will always be!
Whether you are using Endnote or Mendeley, upload all your articles automatically into HubMeta.
A developing feature is filter your papers on the website and automatically generate a PRISMA diagram. Control for duplicates and record your decisions.
Create taxonomies, menu pulldowns and use our library or OCR feature for scanning entire correlation tables. Experience a tenfold increase in coding speed.
Eliminate typos and analysis errors with built-in meta-analysis. Create full correlation matrices, export them, and use them in R or Stata in seconds.
Create pulldown menus with your variables, constructs, moderators, and measures. Update anytime as needed
Say goodbye to exhausting and error-field data entry as our OCR system pulls in full correlation matrices directly into your project.
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.
John Kammeyer-MuellerProfessor at University of Minnesota
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.
In-Sue OhProfessor at Temple University
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!
Zhanna LyubykhResearcher, PhD Student at University of calgary
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!
Ernest O'BoyleAssociate Professor at Indiana 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.
David B WilsonProfessor at George Mason University