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Direct linkStapleton, 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
Skelly, JoAnne; Hill, George; Singletary, Loretta – Journal of Extension, 2014
Extension professionals often assess community needs to determine programs and target audiences. Data can be collected through surveys, focus group and individual interviews, meta-analysis, systematic observation, and other methods. Knowledge gaps are identified, and programs are designed to resolve the deficiencies. However, do Extension…
Descriptors: Needs Assessment, Data Analysis, Community Needs, Extension Education
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
Steinley, Douglas – Psychological Methods, 2006
Using the cluster generation procedure proposed by D. Steinley and R. Henson (2005), the author investigated the performance of K-means clustering under the following scenarios: (a) different probabilities of cluster overlap; (b) different types of cluster overlap; (c) varying samples sizes, clusters, and dimensions; (d) different multivariate…
Descriptors: Diagnostic Tests, Sample Size, Multivariate Analysis, Scaling
Peer reviewedMcCain, Katherine W. – Journal of the American Society for Information Science, 1990
Presents an overview of current data gathering and analytical techniques for author cocitation analysis (ACA). Highlights include selection of the author set; retrieval of cocited author counts; multivariate analyses, including multidimensional scaling; data display techniques; an example for macroeconomics; interpretation and validation of…
Descriptors: Authors, Citation Analysis, Cluster Grouping, Computer Graphics
Brown, R. L. – 1984
The plotting of multivariate data using computer line-printers has become a popular means of quickly representing multidimensional data. While many plotting programs are available, there is a paucity of research regarding the validity and reliability of interpretations made by viewing such graphics. This study explores the validity of four…
Descriptors: Cluster Grouping, Computer Graphics, Computer Simulation, Data Analysis
