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Crossley, Scott A.; Roscoe, Rod; McNamara, Danielle S. – Written Communication, 2014
This study identifies multiple profiles of successful essays via a cluster analysis approach using linguistic features reported by a variety of natural language processing tools. The findings from the study indicate that there are four profiles of successful writers for the samples analyzed. These four profiles are linguistically distinct from one…
Descriptors: Essays, Natural Language Processing, Computational Linguistics, Multivariate Analysis
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Hurley, Rodney G. – Journal of Applied Research in the Community College, 2009
This study used the five benchmarks from the Community College Survey of Student Engagement (CCSSE) to form clusters of colleges within the CCSSE classification of extra-large community colleges (greater than or equal to 15,000 students). Cluster analysis produced a five-cluster solution for the 48 identified extra-large community colleges. Using…
Descriptors: Community Colleges, School Size, Cluster Grouping, Multivariate Analysis
Huberty, Carl J – 1982
The issues in the interpretation of discriminant analyses presented are restricted to the typical uses of discriminant analysis by behavioral science researchers. Because behavioral researchers use computer programs packages, the issues discussed deal with information obtainable from the package discriminant analysis programs. The following issues…
Descriptors: Behavioral Science Research, Classification, Cluster Grouping, Computer Programs