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Kohn, Hans-Friedrich; Steinley, Douglas; Brusco, Michael J. – Psychological Methods, 2010
The "p"-median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed around "exemplars", that is, manifest objects in the data set, with the remaining instances assigned to their closest cluster centers. Effective, state-of-the-art implementations of…
Descriptors: Computer Software, Psychological Studies, Data Analysis, Research Methodology
Biemer, Paul P.; Christ, Sharon L.; Wiesen, Christopher A. – Psychological Methods, 2009
Scale score measures are ubiquitous in the psychological literature and can be used as both dependent and independent variables in data analysis. Poor reliability of scale score measures leads to inflated standard errors and/or biased estimates, particularly in multivariate analysis. Reliability estimation is usually an integral step to assess…
Descriptors: Psychological Studies, Social Science Research, Reliability, Computation
Thuneberg, Helena; Hotulainen, Risto – High Ability Studies, 2006
This article explores applications of the Self-Organizing Maps method (SOM) to psycho-educational data. The study examines the psychological well-being, self-regulatory and motivational styles of pupils at elementary and middle school (N = 795). The presentation of the method appears in cases which are related to general education, special needs…
Descriptors: Well Being, Student Motivation, General Education, Special Needs Students