HDFS536

042954

This is a graduate level course covering statistical techniques commonly used in quantitative social science research. Students will learn to identify, explain, and apply statistical reasoning and methods and how to correctly apply such methods to various research questions. The course will cover a variety of statistical methods (including descriptive statistics, visualization, chi-square analysis, t-tests, analysis of variance (ANOVA), simple and multiple linear regression, and logistic regression) using multiple computer programs including R/R Studio and IBM SPSS. Students will learn to effectively interpret and describe the results of their work using current standards for reporting statistical analyses. This course will provide the conceptual and technical skills required for students to perform well in more advanced statistical courses.

GRD - Regular Grades A, B, C, D, E

Graduate