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Elphinstone, Brad; Tinker, Sean – Journal of College Student Development, 2017
The Motivation and Engagement Scale-University/College (MES-UC) was used to identify student typologies on the basis of adaptive and maladaptive academic cognitions and behaviours. The sample comprised first-year (n = 390), second-year (n = 300), and third-year (n = 251) undergraduate students with 4 student typologies identified: high…
Descriptors: Student Motivation, Undergraduate Students, Likert Scales, Cohort Analysis

Rescorla, Leslie – Journal of Autism and Developmental Disorders, 1988
Cluster analysis on factor analytic symptom profiles obtained from the Achenbach Child Behavior Checklist for 204 three- to five-year-old boys including 79 autistic and autistic-like children identified an autistic group as soon as three clusters were formed. This autistic cluster was later subdivided according to presence/absence of anxiety and…
Descriptors: Anxiety, Autism, Behavior Rating Scales, Check Lists
Silverstein, A. B.; And Others – American Journal on Mental Retardation, 1989
Cluster analysis was performed on the adaptive behavior scores of 2 samples of 200 institutionalized mentally retarded individuals. Three clusters were found to be stable across clustering methods, subject samples, and time points 3 years apart. Cluster membership was meaningfully associated with demographic characteristics and neurological and…
Descriptors: Adaptive Behavior (of Disabled), Adults, Behavior Rating Scales, Cluster Analysis
Luan, Jing – Association for Institutional Research (NJ1), 2006
This exploratory data mining project used distance-based clustering algorithms to study three indicators of student behavioral data collectively called AB-Index, and established a typology of six types of learners for a suburban community college. The study is based on the notion that student behavioral data are a good basis for new ways of doing…
Descriptors: Information Retrieval, Student Behavior, Cluster Grouping, Course Selection (Students)