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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
Jung, Jaehee; Forbes, Gordon B. – Psychology of Women Quarterly, 2007
Body dissatisfaction and disordered eating were compared across groups of college women from China (n = 109), South Korea (n = 137), and the United States (n = 102). Based on cultural differences in the amount of exposure to Western appearance standards, particularly the thin-body ideal, sociocultural theory (Thompson, Heinberg, Altabe, &…
Descriptors: Feminism, Females, Eating Disorders, Cultural Differences
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

Gonzalvo, Pilar; And Others – Journal of Educational Psychology, 1994
Multidimensional scaling (MDS) and Pathfinder techniques for assessing changes in the structural representation of a knowledge domain were studied with relatedness ratings collected from 72 Spanish college students. Comparison of student and expert similarity measures indicate that MDS and graph theoretic approaches are valid techniques. (SLD)
Descriptors: Change, College Students, Comparative Analysis, Evaluation Methods
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

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

Preece, P. F. W. – Alberta Journal of Educational Research, 1976
Data on the semantic proximity of classical mechanics concepts, obtained by means of a cross-sectional investigation (100 subjects) using a continued word association test, were analyzed by individual difference multidimensional scaling to permit the mapping of semantic space for individual subjects. (JC)
Descriptors: Associative Learning, College Students, Comparative Analysis, Cross Sectional Studies

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

Hirsch, Thomas M. – Journal of Educational Measurement, 1989
Equatings were performed on both simulated and real data sets using common-examinee design and two abilities for each examinee. Results indicate that effective equating, as measured by comparability of true scores, is possible with the techniques used in this study. However, the stability of the ability estimates proved unsatisfactory. (TJH)
Descriptors: Academic Ability, College Students, Comparative Analysis, Computer Assisted Testing
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

Beller, Michael – Applied Psychological Measurement, 1990
Geometric approaches to representing interrelations among tests and items are compared with an additive tree model (ATM), using 2,644 examinees and 2 other data sets. The ATM's close fit to the data and its coherence of presentation indicate that it is the best means of representing tests and items. (TJH)
Descriptors: College Students, Comparative Analysis, Factor Analysis, Foreign Countries
Loadman, William E. – 1976
A nonmetric multidimensional scaling technique was employed to determine the characteristics of the ideal professor. Subsequently, the results were compared across varying levels of program personnel, including administrators, faculty, staff and students. Centered in a relatively self-contained academic program of a large midwestern university,…
Descriptors: Administrator Attitudes, College Faculty, College Instruction, College Students

Leutner, Detlev; Weinsier, Philip D. – Computers in Human Behavior, 1994
This article's goals are to validate the Computer and Information Technology Attitude Inventory (Weinsier and Leutner, 1988), a nontraditional approach to attitude measurement; and to report on a study designed to search for intercultural differences or cross-cultural consistency of attitudes toward computers and information technology. (46…
Descriptors: Attitude Measures, College Students, Comparative Analysis, Computer Anxiety