HCD 760
Analysis, Interpretation & Reporting Research Results
Course Syllabus
Summer, 2008
Professor: Mary Nell McNeese , Ph. D.
Office phone: 601-266-6910
Fax phone: 601-266-5141
Home phone: 601-268-0743
Cellular phone: 601-818-1834
E-mail: Mary.McNeese@usm.edu
Office Hours: Virtual Office Hours by Appointment in
WebCT Chat Room or through contact
information above.
Prerequisites: HCD 745, HCD 750, or equivalent graduate level
research courses
Credit Hours: 3 graduate semester hours
Intended Audience: Students pursuing a Ph. D. in Human Capital
Development
Catalog Description: The course is a study of statistical techniques
used for research data analysis in Human Capital Development.
Students examine the interpretation and reporting of research results.
Course Overview: Students will become educated consumers of
Human Capital Development research by learning to locate, read, and
evaluate research. Additionally, students will learn to make, execute,
interpret, and defend experimental design decisions in preparation for
dissertation research.
Course Objectives: At the completion of the coursework, students
will be able to:
1. Conceptualize logic, principles, and techniques for :
a. Scales of measurement
b. General data summary
c. Primary Univariate statistical analyses
d. Advanced and Multivariate statistical analyses
2. Select appropriate statistical analysis techniques for given
research questions, hypotheses, and objectives
3. Explain why statistical analysis techniques are appropriate for
given research questions, hypotheses, and objectives
