In this course we will cover issues related to designs and analysis of experiments used in psychological research. The goal is to help students develop the following skills and abilities:

(1) Think critically about the application of experimental designs in psychological research;

(2) Understand and apply appropriate statistical analyses for different types of experimental designs.

(Note that learning to use computer software(s) as an analytic tool for experimental hypotheses is important but is not the main focus of this course.)

Topics include completely randomized designs, randomized block designs, repeated measures designs, Latin square, hierarchical designs, split-plot designs, etc. Statistical principles and analysis (such as power and planned comparison) also will be discussed.

In addition to the material from the textbooks, several take-home readings will be assigned and will be discussed 1-2 weeks later. Students are required to give presentations (either individually or as a group) in class. Class participation (including Q/A) is important. (There might be a small project for everyone.)