Bridging statistics and research: Top 10 things researchers should know when interpreting findings

Many advanced statistical procedures used by social scientists, such as multiple regression, factor analysis and structural equation modeling are more easily understood if one first has a grounding in the essential statistical and philosophical concepts on which they are founded. In this session, Daniel J. Denis, Associate Professor of Quantitative Psychology, reviews the top 10 things researchers need to be aware of when either performing or interpreting data analyses. The goal is to fill in comprehension "gaps" and address key global concepts that will help you more confidently interpret research reports, regardless of your chosen field. Lunch provided. 

Note: Due to high demand, we have moved this to Gallagher Business Building 123.