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Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
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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
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Light, Richard J.; Smith, Paul V. – Harvard Educational Review, 1971
Descriptors: Cluster Grouping, Data Analysis, Educational Research, Research Methodology
Pruzek, Robert M.; And Others
A description is given of a general method for studying partitions. The main focus is with the analysis of relationships among several different partitions of the same items for the explorations as well as confirmation of structural relationships. A partition is defined as a set of mutually exclusive clusters of items; however, this paper deals…
Descriptors: Cluster Grouping, Data Analysis, Data Collection, Hypothesis Testing
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Hinman, Suki; Freund, Joel S. – American Journal of Psychology, 1976
The basic question asked in this research was whether it is possible, through training, to influence a subject's preference for encoding a particular attribute. (Author/RK)
Descriptors: Cluster Grouping, Codification, Data Analysis, Flow Charts
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Wachs, Theodore D.; Gruen, Gerald E. – Child Development, 1971
Results indicated that availability of categories rather than frequency of words seemed most crucial in determining developmental changes in clustering efficiency. (Authors)
Descriptors: Age Differences, Analysis of Variance, Classification, Cluster Grouping
Shafto, Michael – 1972
The purpose of this paper is to suggest a technique of cluster analysis which is similar in aim to the Interactive Intercolumnar Correlation Analysis (IICA), though different in detail. Two methods are proposed for extracting a single bipolar factor (a "contrast compenent") directly from the initial similarities matrix. The advantages of this…
Descriptors: Bibliographies, Classification, Cluster Analysis, Cluster Grouping
Veldman, Donald J. – 1967
This report forms the background for some current efforts to develop computer-based scoring systems for One-Word Sentence Completion data. A general discussion of response grouping problems and a three-way frequency table for data reduction are included. In addition, six "structural" response variables are defined. The report concludes with an…
Descriptors: Attitude Measures, Cluster Grouping, College Freshmen, Computer Oriented Programs
Pearsol, James A. – 1985
This paper describes the practical steps employed in controlling interview data generated from a research project investigating teachers' perspectives on the worth of a sex equity educational demonstration project. These perspectives were then considered as value frameworks that might be used to formulate and interpret a naturalistic-responsive…
Descriptors: Cluster Grouping, Data Analysis, Data Collection, Demonstration Programs