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Taylor, Barrett J.; Cantwell, Brendan – Research in Higher Education, 2015
The heightened mobility of resources, ideas, and cultural practices across national borders--commonly known as "globalization"--entails changes in the contexts in which US research universities operate. We draw on recent developments in neo-institutional theory to understand these changes and their implications for the ways in which US…
Descriptors: Global Approach, Competition, Research Universities, Doctoral Programs

Liu, Richard; Sanders, Jack – Research in Higher Education, 1984
A simplified example of a technique, conceived by Yates and later developed by Goodman and Haberman, for the determination of appropriate log-models in the measurement of qualitative data in higher education is presented. (Author/MLW)
Descriptors: Data Analysis, Educational Quality, Higher Education, Models

Dey, Eric L. – Research in Higher Education, 1997
A study investigated the effectiveness of a weighting procedure for adjusting survey results to correct for nonresponse bias. Using data from a Cooperative Institutional Research Program followup survey, results indicate that the procedure is highly effective in univariate distributions; its effectiveness in adjusting correlation and regression…
Descriptors: Data Analysis, Followup Studies, Higher Education, Research Methodology

Romney, David – Research in Higher Education, 1980
Gerald M. Gillmore's criticisms of a study on the relative magnitudes of the "course effect" and "teacher effect" on students' ratings of teacher competence are examined. It is suggested that Gillmore's criticisms should not be permitted to detract from the conclusion that there is a significant course effect. (Author/MLW)
Descriptors: Competence, Course Evaluation, Data Analysis, Higher Education

Gillmore, Gerald M. – Research in Higher Education, 1980
The critical issues, in a dispute between Romney's interpretation of his results and Gillmore's interpretation, are described as whether the teacher factor should be treated as fixed or random in the analysis of variance model and what conclusions can be drawn from the results of the study. (Author/MLW)
Descriptors: Data Analysis, Data Collection, Higher Education, Research Methodology