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Manly, Catherine A.; Wells, Ryan S. – Research in Higher Education, 2015
Higher education researchers using survey data often face decisions about handling missing data. Multiple imputation (MI) is considered by many statisticians to be the most appropriate technique for addressing missing data in many circumstances. In particular, it has been shown to be preferable to listwise deletion, which has historically been a…
Descriptors: Higher Education, Educational Research, Surveys, Data
LaNasa, Steven M.; Olson, Elizabeth; Alleman, Natalie – Research in Higher Education, 2007
During the past two decades institutions of all types have sought to expand and enhance residential facilities. Institutional focus on scale, configuration, amenities, and academic integration has sought to leverage prior research documenting the multiple and often positive impacts of on-campus residence. Although institutional size has been…
Descriptors: Academic Achievement, College Freshmen, Social Integration, On Campus Students

Marks, Edmond – Research in Higher Education, 1975
For the educational researcher needing to analyze frequency counts arising from cross classification of a sample of observations on a number of qualitative variables, a unified approach is described for the analysis of the p-way contingency table which enriches our understanding of the relationships existing among the classification variables.…
Descriptors: Educational Research, Higher Education, Hypothesis Testing, Models

Bayer, Alan E. – Research in Higher Education, 1987
The "Biglan model" has become a generally accepted new eponym (a term or phrase incorporating the originator's name) in the field of higher education. As eponyms become diffused through literature and citations disappear, the veracity of bibliometric studies of intellectual influence structures are undermined. (Author/MLW)
Descriptors: Bibliographic Coupling, Bibliometrics, Citation Analysis, Data Analysis

Adams, L. La Mar; Gale, Darwin – Research in Higher Education, 1982
Questionnaire return rates were examined under these conditions: (1) a large random sample; (2) no follow-up procedures; (3) same mailout procedures and instructions; (4) no incentives; (5) type of questionnaire; (6) appropriate lengths; and (7) daily tally of returns. A difference in the rate of return was found. (Author/MLW)
Descriptors: College Students, Data Collection, Educational Research, Higher Education

Maynard, Diane; And Others – Research in Higher Education, 1974
Descriptors: Administrative Organization, Consortia, Coordination, Data Analysis

Braungart, Richard G. – Research in Higher Education, 1975
This paper tests a multivariate theory of family status, socialization, and student politics employing two different methodological techniques: (1) the popular path analysis method as compared with (2) a modified causal analysis approach. Results reveal that both techniques appear to be a reliable check on one another. (Editor/PG)
Descriptors: Activism, Data Analysis, Dissent, Educational Research

Schwarzmueller, E. Beth; Pounds, Haskin R. – Research in Higher Education, 1984
Some of the errors associated with use of data from the National Center for Education Statistics' Higher Education General Information Survey (HEGIS) are described, 1980 HEGIS and census reports of college enrollment are compared in tables of data, and a more cautious use of HEGIS data is recommended. (MSE)
Descriptors: Data Collection, Databases, Educational Research, Enrollment Rate