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Dare, Alec; Dare, Lynn; Nowicki, Elizabeth – Social Psychology of Education: An International Journal, 2017
High-ability students have special education needs that are often overlooked or misunderstood (Blaas in "Aust J Guid Couns" 24(2):243-255, 2014) which may result in talent loss (Saha and Sikora in "Int J Contemp Sociol Discuss J Contemp Ideas Res" 48(1):9-34, 2011). Educational acceleration can help avoid these circumstances…
Descriptors: Student Motivation, Comparative Analysis, Teacher Attitudes, Student Attitudes
Subkoviak, Michael J.; Roecks, Alan L.
Three different methods of data collection in which subjects judged proximity between object pairs were examined. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing interobject proximities to a fixed standard.…
Descriptors: Classification, College Students, Comparative Analysis, Data Collection
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Deng, Chi-Ping; Armstrong, Patrick Ian; Rounds, James – Journal of Vocational Behavior, 2007
Holland's [Holland, J. L. (1959). A theory of occupational choice. Journal of Counseling Psychology, 6, 35-45; Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Odessa, FL: Psychological Assessment Resources, Inc.] RIASEC types were initially developed using a restricted range…
Descriptors: Reputation, Career Choice, Multidimensional Scaling, Labor Market
Villaneuva, Lourdes S.; Dunn-Rankin, Peter – 1973
Ranking and rating methods of making direct judgments of pairwise similarity are compared. Three dimensional configurations of seven objects are derived under both judgment methods across two equivalent groups of 59 university students. Using Cliff's orthogonal rotation method of multidimensional matching, comparisons are made between methods…
Descriptors: Classification, College Students, Comparative Analysis, Evaluation Methods
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Wiseman, Richard L.; Schenck-Hamlin, William – Communication Monographs, 1981
Proposes an inductively derived taxonomy as a more valid and reliable classification scheme of compliance-gaining strategies. Compares the taxonomy with a multidimensional scaling representation of college students' perceptions of persuasive messages. Concludes that the taxonomy has a high degree of representational validity. (PD)
Descriptors: Classification, College Students, Communication Research, Higher Education
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Rosenberg, Seymour; Kim, Moonja Park – Multivariate Behavioral Research, 1975
Compares two basic variants of the sorting method: single-sort and multiple sort. The nature of individual differences in sorting, as well as sex differences, were also investigated. Stimulus materials were the 15 mutually exclusive kinship terms selected by Wallace and Atkins (1960). (RC)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Students
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Bockenholt, Ulf; Bockenholt, Ingo – Psychometrika, 1991
A reparameterization of a latent class model is presented to classify and scale nomial and ordered categorical choice data simultaneously. The model extension represents a nonhomogeneous population as a mixture of homogeneous subpopulations. Simulated data and data from a magazine preference survey of 347 college students illustrate the model.…
Descriptors: Algorithms, Classification, College Students, Computer Simulation
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Kloot, Willem A. van der; Herk, Hester van – Multivariate Behavioral Research, 1991
Two sets of real sorting data from 50 college students are used to compare results of multidimensional scaling of raw co-occurrence frequencies or dissimilarity measures (D) and profile distances (delta) to determine which yields a better representation of the underlying structure of 2 sets of stimuli. Slight differences are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, College Students, Comparative Analysis
McIsaac, Marina Stock – 1984
This study was designed as the first in a series of inquiries to investigate the use of multidimensional scaling techniques for observing and measuring underlying dimensions commonly perceived by viewers. Following a preliminary study to select photographs, 15 university students aged 19 to 45 were presented with stimuli consisting of 34 colored…
Descriptors: Classification, Cluster Grouping, College Students, Concept Formation
Fisher, Mark A. – 1992
A model of graph comprehension is proposed including perceptual and memory processes. Multidimensional scaling (MDS), cluster analysis, and analysis of variance (ANOVA) were used to determine how college students with different mathematical experience read different types of bar graphs. Data were collected at the University of Oklahoma (Norman)…
Descriptors: Analysis of Variance, Classification, Cluster Analysis, College Students