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This course is aimed at Ph.D.
students who intent to conduct experimental and
quasi-experimental research in business (e.g., marketing,
organizational behavior) and related disciplines (e.g.,
economics, psychology). The primary objective is to master the
concepts and tools needed for collecting and analyzing
behavioral data. The course covers the designs and analyses
most often used by experimental researchers in marketing,
organizational behavior, and psychology. Topics include
factorial designs, within-subject and mixed designs,
fractional designs, analysis of covariance, mediation
analysis, power and effect size estimation, trend-analysis,
contrast analysis, and post-hoc comparisons. These designs and
analyses are covered from the perspective of an applied
behavioral researcher (not that of a theoretical
statistician), with an emphasis on the actual use of proper
data collection procedures and analysis techniques for
rigorous research. In addition, the course provides an
introduction to SAS, one of the most widely used statistical
programming languages for manipulating and analyzing data.
Prerequisite: MARK512 |