Publication Date
2017
Course Name
Advanced Data Analysis Techniques in Higher Education
Abstract
Advanced knowledge of research design and skill development in statistical analysis applied to the generation of new knowledge, as well as the interpretation of existing higher education research. Topics include analysis of variance, correlations, linear and logistic regression, analysis of categorical data, factor analysis, and other data analysis techniques commonly used in higher education research.
Recommended Citation
Higher Education Administration, "HEA789" (2017). Curriculum Proposals. 484.
https://digitalcommons.buffalostate.edu/curprop/484
Archival Statement
This material is part of a digital archival collection. This item was created or digitized prior to April 24, 2026, or is a reproduction of physical media created before that date. It is preserved specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II regulations, Butler Library provides accessible versions of archival materials upon request for affiliated faculty, staff, and students. To request an accommodation for this item, please submit a remediation request form.