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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
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Barge, Scott; Gehlbach, Hunter – Research in Higher Education, 2012
Increasingly colleges and universities use survey results to make decisions, inform research, and shape public opinion. Given the large number of surveys distributed on campuses, can researchers reasonably expect that busy respondents will diligently answer each and every question? Less serious respondents may "satisfice," i.e., take short-cuts to…
Descriptors: Higher Education, Surveys, Evaluation, Data
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Cox, Bradley E.; McIntosh, Kadian L.; Reason, Robert D.; Terenzini, Patrick T. – Research in Higher Education, 2011
In an effort to identify policies that foster an institutional "culture of teaching," or encourage use of effective pedagogies, this study uses data from 5,612 faculty members at 45 institutions to examine connections between institutional policies and faculty members' perceptions and practices related to teaching and learning. A series of…
Descriptors: Institutional Characteristics, Classification, College Faculty, Higher Education
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Brint, Steven; Cantwell, Allison M.; Saxena, Preeta – Research in Higher Education, 2012
Using data from the 2008 University of California Undergraduate Experience Survey, we show that study time and academic conscientiousness were lower among students in humanities and social science majors than among students in science and engineering majors. Analytical and critical thinking experiences were no more evident among humanities and…
Descriptors: Majors (Students), Undergraduate Study, Social Sciences, Engineering