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Bahr, Peter Riley; Bielby, Rob; House, Emily – New Directions for Institutional Research, 2011
One useful and increasingly popular method of classifying students is known commonly as cluster analysis. The variety of techniques that comprise the cluster analytic family are intended to sort observations (for example, students) within a data set into subsets (clusters) that share similar characteristics and differ in meaningful ways from other…
Descriptors: College Students, Classification, Multivariate Analysis, Community Colleges
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Pillemer, Karl; Suitor, J. Jill – Gerontologist, 2006
Purpose: This article reports on a within-family study to identify factors that lead mothers to expect that a particular child will serve in the role of primary caregiver. Design and Methods: Data for this study were collected by in-person interviews with a representative sample of 566 mothers between the ages of 65 and 75 years residing in the…
Descriptors: Caregivers, Selection, Mothers, Older Adults
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Whittaker, Tiffany A.; Stapleton, Laura M. – Multivariate Behavioral Research, 2006
Cudeck and Browne (1983) proposed using cross-validation as a model selection technique in structural equation modeling. The purpose of this study is to examine the performance of eight cross-validation indices under conditions not yet examined in the relevant literature, such as nonnormality and cross-validation design. The performance of each…
Descriptors: Multivariate Analysis, Selection, Structural Equation Models, Evaluation Methods