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Department of Psychiatric Rehabilitation & Counseling Professions

Psychiatric Rehabilitation

PSRT6107 - Multi-Variate Statistics

Course Description

The course is intended to provide students exposure to multivariate statistical techniques based upon the general linear hypothesis. The courses will cover the types of problems they address including their basic assumptions, computer executions of these techniques.

Credits/Modes of Instruction

Credits: 3

Classroom

Prerequisites

Admission to the doctoral program or permission of the instructor.

Course Goals and Outcomes:

Goals

• Develop an understanding of the types of methodological problems that require multivariate statistical techniques in order to be addressed.
• Comprehension of the general linear hypothesis, its various applications, and its limitations.
• Ability to apply multivariate techniques to research questions in psychiatric rehabilitation and related fields.
• Knowledge of appropriate statistical computer package (e.g. SPSS) to manage data and execute analyses.

Outcomes

• Describe of assumptions of multivariate techniques including MANOVA, MANCOVA, discriminant functions and factor analysis.
• Apply appropriate multivariate techniques to a given research problem or question.
• Design empirical projects with appropriate measurements.
• Design actual data sets for multivariate tests.
• Run appropriate computer routines to analyze multivariate statistics and interpret output.
• Interpret statistical findings based on design and technique.
• Explain verbally and in writing the findings to both “sophisticated” and naive audiences, that is other professionals not versed in statistics.