Video-Tutorials
Wie man eine Meta-Analyse mit CMA durchführt
- Grundlegende Themen
- Geben Sie die Daten ein
- Ausführen der Analyse
- Modell mit zufälligen Effekten
- Die mittlere Effektstärke
- Heterogenität
- Wie man die Ergebnisse erklärt
- Hochauflösende Handlung
- Sensitivitätsanalyse
- Publikationsverzerrung / Kleiner Studieneffekt
- Warum Moderatoren wichtig sind
- Verfahren zur Bewertung potenzieller Moderatoren
- Subgruppen-Analyse
- Meta-Regression
- Fallstudie mit Mitteln (Viewing)
- Fallstudie mit Odds Ratios
- Fallstudie anhand von Korrelationen
- Fallstudie mit Inzidenz
Umfassende Meta-Analyse
Comprehensive Meta-Analysis (CMA) ist ein leistungsstarkes Computerprogramm für Meta-Analysen. Das Programm verbindet Benutzerfreundlichkeit mit einer breiten Palette von Berechnungsoptionen und anspruchsvollen Grafiken.
Umfassende Meta-Analyse
"Being the lecturer for the course on meta‐analysis for the JSSS in Cambridge [the Social Science Research Methods Course programme, a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences], I am really forward looking forward to familiarising students with the programme. I found CMA unbelievably flexible‐‐and it wouldn't take students long to familiarise with it given how user‐friendly the programme is."
Dr. Maria M. Ttofi - Leverhulme and Newton Trust Fellow, Post‐doctoral Researcher, Institute of Criminology, University of Cambridge Research Fellow, Wolfson College
"I found the Comprehensive Meta‐Analysis software program to be extremely user friendly, providing instant computational data from the simplest to the most complex statistical problems, a versatile database to help organize and restructure large volumes of multifaceted data, and parallel visuals that help better understand your data. I also found the support staff very helpful in providing responses to both my technical questions about the program itself as well as helpful addressing more general theoretical questions about meta‐analyses. I would highly recommend this program to a novice or more seasoned researcher interested in conducting meta‐analytic statistics."
Talin Babikian, PhD, MPH - UCLA