HDFS537A

015487

This course provides an introduction to the logic and application of statistical methods for analysing data relevant to human behaviour, development, and relationships. It covers both traditional Null Hypothesis Significance Testing (NHST) and the more contemporary approach of Bayesian inference. Topics covered include data management and screening; methods for describing and presenting data; t-tests; categorical data; analysis of variance; correlation/ regression; and advanced applications of multiple regression such as moderator analyses. The major objectives of this course are for students to gain a conceptual understanding of statistical inference, learn how to implement statistical analyses using R (a free, open-source program), interpret R output, and communicate the results of statistical analyses in clear language and APA approved format.

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

Graduate

Consent of instructor. Concurrent registration with HDFS 537L required.