Using Meta-analysis in Social Sciences

2019.03.06
Event

Opposing theories and inconsistent findings are very common in the fields of social sciences (e.g., psychology and education); social science researchers must interpret the results of any single study in the context of its limitations. Meta-analysis is a robust tool that can help researchers overcome these challenges by assimilating data across studies identified through a systematic literature review. Meta-analysis combines the results from multiple studies in an effort to increase power (over individual studies), improve estimates of effect sizes, or to resolve uncertainty when research disagrees. This two-day workshop will be delivered through presentations and exercises. The workshop will give participants the basic knowledge of meta-analysis and skills to design and perform a meta-analysis in the research fields of social sciences, specifically psychology.

Topic:

Speaker:

Dr. He Jinbo

Dr. He Jinbo is an associate professor in Hunan University. He also has been a visiting researcher in University of California at Berkeley. His research is mainly focused on health psychology (e.g., eating behaviors and weight-related problems) and quantitative research methods (e.g., meta-analysis and structural equation modeling). He has published 22 papers in SSCI/SCI journals and 10 papers in CSSCI journals.

Time & Date & Language

02:00 - 04:00 PM, Friday, 8th March

The first session of the workshop will be started with one hour's general introduction of meta-analysis in English, and followed by one hour's tutorial and exercise in Chinese.

10:00 - 12:00 AM, Monday, 11th March

The second practice session will be delivered in Chinese. It is about how to use the Comprehensive Meta-Analysis (CMA) which is specially designed to conduct meta-analytic.

Venue:

Room 555, Teaching Building B