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ERIC Number: ED446504
Record Type: Non-Journal
Publication Date: 2000-May
Pages: 34
Abstractor: N/A
Reference Count: N/A
Analyzing Faculty Workload Data Using Multilevel Modeling. AIR 2000 Annual Forum Paper.
Porter, Stephen R.; Umbach, Paul
This study used the multilevel modeling method to analyze the research productivity of 1,104 tenured or tenure track faculty from the 1993 National Study of Postsecondary Faculty. The study compared statistical and substantive results of multilevel modeling (or hierarchical linear modeling) to the traditional regression approach. Two dependent variables measured faculty research productivity: (1) publications over 2 years and dollar amount of external research funding and (2) total external grant dollars for the 1992-93 academic year on which the faculty member was a principal or co-principal investigator. The independent variables included human capital, personal tastes, career status, teaching workload, demographics, and academic discipline. Data analysis indicated that using multilevel modeling was very important in studying faculty productivity. There were significant relationships between several independent variables and faculty publications. The results suggest that the group effect of academic field of study should be accounted for when modeling faculty productivity. The results also suggest that faculty work is extremely complex and cannot be explained using single measures for research productivity. (Contains 30 references.) (SM)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A