This study applies a data envelopment analysis model developed for national universities to 93 national liberal arts colleges. Such models can be used by individual institutions for benchmarking purposes or by researchers seeking to compare the practices of highly efficient liberal arts colleges with the practices of relatively inefficient…

This paper empirically evaluates Caplow and McGee's (The academic marketplace, 1958) model of academia as a prestige value system (PVS) by testing several hypotheses about the relationship between prestige of faculty appointment and job satisfaction. Using logistic regression models to predict satisfaction with several job domains in a sample of…

Race shapes many aspects of students' high school experiences that are relevant to the college admissions process. We examine the racially-specific effects of high school course of study on college selectivity. Using NELS 1988-1994, we test how race and track interactively predict the prestige of the first post-secondary institution attended. We…

This study examines the variables that are the most strongly associated with institutional prestige and reputation and presents an exploratory model. This research expands earlier efforts by including more recent data on larger populations of public and private universities, as well as on liberal arts colleges. The analysis draws upon data from…

A LISREL analysis demonstrates the value of regressing reputational ratings on three latent variables: size, faculty research productivity, and the quality of program graduates. The model was tested using National Research Council data for each of six disciplines: English, French, philosophy, geography, political science, and sociology.…