EDRE 7210 - Regression Analysis in Education

• Students will be able to use descriptive, graphical, and inferential statistical methods (e.g., general linear models, regression analyses, analysis of variance methods) for appropriate purposes within the research process and interpret the results.
• Students will be able to use the logic and process of null hypothesis testing and model building with linear models while attending to matters such as error, power, assumptions, effect size, confidence intervals, sampling, and cross-validity.
• Students will be able to use a computer program (e.g., SPSS, R) to enter data and perform descriptive, graphical, and inferential statistical analyses, including screening data, checking for outliers, and testing assumptions.
• Students will be able to evaluate quantitative research methods and intermediate statistical analyses reported in published research articles and manuscripts.
• Students will be able to interpret and communicate effectively about intermediate statistical analyses and the research process (e.g., problems, methods, results, conclusions).