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Salehudin, Imam; Alpert, Frank – Education & Training, 2022
Purpose: This study analyzed segment differences of student preference for video use in lecture classes and university use of video lecture classes. The authors then conducted novel gap analyses to identify gaps between student segments' preferences for videos versus their level of exposure to in-class videos. Multivariate analysis of variance…
Descriptors: Preferences, Video Technology, Class Activities, College Students
Cantwell, Robert H.; Bourke, Sid F.; Scevak, Jill J.; Holbrook, Allyson P.; Budd, Janene – Studies in Higher Education, 2017
A national cohort of doctoral students (n = 1390) completed a suite of metacognitive questionnaires indicating management of affective, intellectual and contingency demands in learning. Responses to the questionnaires were analysed for evidence of individual differences in reported metacognitive behaviours. Three patterns of metacognitive response…
Descriptors: Individual Differences, Doctoral Programs, Graduate Students, Metacognition
Ozyurt, Ozcan – Turkish Online Journal of Distance Education, 2014
In this study, the probability unit ability levels of the eleventh grade Turkish students were classified through cluster analysis. The study was carried out in a high school located in Trabzon, Turkey during the fall semester of the 2011-2012 academic years. A total of 84 eleventh grade students participated. Students were taught about…
Descriptors: Foreign Countries, Academic Ability, Probability, Cluster Grouping
Suranyi, Zsuzsanna; Hitchcock, David B.; Hittner, James B.; Vargha, Andras; Urban, Robert – International Journal of Behavioral Development, 2013
Previous research on sensation seeking (SS) was dominated by a variable-oriented approach indicating that SS level has a linear relation with a host of problem behaviors. Our aim was to provide a person-oriented methodology--a probabilistic clustering--that enables examination of both inter- and intra-individual differences in not only the level,…
Descriptors: Personality Traits, Behavior Problems, Conceptual Tempo, Individual Differences
Saenz, Victor B.; Hatch, Deryl; Bukoski, Beth E.; Kim, Suyun; Lee, Kye-hyoung; Valdez, Patrick – Community College Review, 2011
This study employs survey data from the Center for Community College Student Engagement to examine the similarities and differences that exist across student-level domains in terms of student engagement in community colleges. In total, the sample used in the analysis pools data from 663 community colleges and includes more than 320,000 students.…
Descriptors: Learner Engagement, Community Colleges, Classification, Multivariate Analysis
Verte, Sylvie; Geurts, Hilde M.; Roeyers, Herbert; Rosseel, Yves; Oosterlaan, Jaap; Sergeant, Joseph A. – Autism: The International Journal of Research & Practice, 2006
The study explored whether children with high functioning autism (HFA), Asperger syndrome (AS), and pervasive developmental disorder not otherwise specified (PDD-NOS) can be differentiated on the Children's Communication Checklist (CCC). The study also investigated whether empirically derived autistic subgroups can be identified with a cluster…
Descriptors: Cluster Grouping, Autism, Asperger Syndrome, Developmental Disabilities