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Mar 29, 2026
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RES 713 - Quantitative Research Methods I: Data Management and Non-Experimental This course is a combination of quantitative research methods, multivariate statistics, and forecasting. The course assumes the doctoral student has had a graduate level statistics/quantitative methods course covering parametric statistics and hypothesis testing.
Credit(s): 3
Prerequisite(s): RES 711 .
Outcomes
- Demonstrate knowledge and comprehension of the non-experimental quantitative research approach, associated with the major social science and business disciplines.
- Interpret the underlying philosophies, concepts, and critical attributes associated with the non-experimental quantitative research approach, within the non-experimental quantitative BOK and literature.
- Compare and contrast the advantages and disadvantages associated with each of the major non-experimental quantitative research traditions.
- Apply the most appropriate non-experimental quantitative research traditions, methods, and designs to a specific research problem or study (theoretical or applied).
- Debate with colleagues and peers on the content and criteria of the non-experimental quantitative research approach, in order to consult with other scholars and researchers concerning their application for a particular problem under study.
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