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Direct linkCox, Bradley E.; McIntosh, Kadian; Reason, Robert D.; Terenzini, Patrick T. – Review of Higher Education, 2014
Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…
Descriptors: Data Analysis, Statistical Inference, Research Problems, Computation
Peer reviewedLamke, Leanne K.; Filsinger, Erik E. – Adolescence, 1983
Examined the relationship between sex role orientation and parental child rearing practices in 69 college women. Using multivariate analysis of variance (MANOVA), results did not support the existence of such a relationship, and failed to replicate earlier findings based on analysis of variance (ANOVA). (JAC)
Descriptors: Child Rearing, College Students, Comparative Testing, Higher Education
