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Emily M. Meyer – ProQuest LLC, 2021
School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…
Descriptors: Academic Achievement, Intelligence, Multidimensional Scaling, School Psychologists
Markovitch, Noam; Luyckx, Koen; Klimstra, Theo; Abramson, Lior; Knafo-Noam, Ariel – Developmental Psychology, 2017
Identity formation is a key developmental task in adolescence. Although many adolescents in modern societies face issues of identity, there are substantial individual differences in identity exploration and commitment. Little is known about the origins of these individual differences. The current study investigated the genetic and environmental…
Descriptors: Early Adolescents, Identification (Psychology), Adolescent Development, Genetics
Gross, Barbara; Dewaele, Jean-Marc – International Journal of Multilingualism, 2018
Cook argued that the learning of a new language leads to a state of multi-competence, with the learner's mind changing in ways that go beyond the linguistic realm. The present study follows Dewaele's suggestion that multilingualism is linked to both cognitive and psychological changes. It explores one particular under-researched relationship,…
Descriptors: Multilingualism, Correlation, Bilingualism, Multidimensional Scaling
Bauminger-Zviely, Nirit; Agam-Ben-Artzi, Galit – Journal of Autism and Developmental Disorders, 2014
This study conducted comparative assessment of friendship in preschoolers with high-functioning autism spectrum disorder (HFASD, n = 29) versus preschoolers with typical development (n = 30), focusing on interactions with friends versus acquaintances. Groups were matched on SES, verbal/nonverbal MA, IQ, and CA. Multidimensional assessments…
Descriptors: Friendship, Comparative Analysis, Autism, Pervasive Developmental Disorders
Ding, Cody; Richardson, Lloyd; Schnell, Thomas – Journal of Educational Research, 2013
Utilizing latent transition analysis and multidimensional scaling growth analysis, the authors studied the emerging developmental trajectories in word literacy (i.e., word-reading competence) of a group of 1,503 kindergarteners. Specifically, 3 hypotheses with respect to growth patterns in word literacy from kindergarten to Grade 2 were examined:…
Descriptors: Early Childhood Education, Literacy, Reading Achievement, Hypothesis Testing
Parpala, Anna; Lindblom-Ylanne, Sari; Rytkonen, Henna – Assessment & Evaluation in Higher Education, 2011
This paper explores students' conceptions of good teaching in three different disciplines. Moreover, the aim is to explore the relation between these conceptions and students' approaches to learning by combining qualitative and quantitative methods. A total of 695 students from the Faculties of Behavioural Sciences, Law and Veterinary Medicine…
Descriptors: Student Evaluation, Student Attitudes, Veterinary Medicine, Content Analysis
Peer reviewedMacCallum, Robert C. – Psychometrika, 1976
Relations between Tucker's three-mode multidimensional scaling and Carroll and Chang's INDSCAL are discussed. A technique to transform a three-mode solution to the general form of an INDSCAL solution along with applications to two sets of data from the literature are presented. (Author/JKS)
Descriptors: Individual Differences, Matrices, Multidimensional Scaling
Peer reviewedBloxom, Bruce – Psychometrika, 1974
Descriptors: Individual Differences, Multidimensional Scaling, Statistical Analysis
Peer reviewedShikiar, Richard – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Individual Differences, Models, Multidimensional Scaling
Peer reviewedBloxom, Bruce – Psychometrika, 1978
A gradient method is used to obtain least squares estimates of parameters in constrained multidimensional scaling in N spaces. Features and constraints of the method and two applications of the procedure are presented. (Author/JKS)
Descriptors: Individual Differences, Multidimensional Scaling, Psychometrics, Statistical Analysis
Peer reviewedMatch, Joel; Wiggins, Nancy – Educational and Psychological Measurement, 1974
Descriptors: Individual Differences, Multidimensional Scaling, Personality Measures, Social Influences
Peer reviewedMacCallum, Robert C. – Psychometrika, 1977
The role of conditionality in the INDSCAL and ALSCAL multidimensional scaling procedures is explained. The effects of conditionality on subject weights produced by these procedures is illustrated via a single set of simulated data. Results emphasize the need for caution in interpreting subject weights provided by these techniques. (Author/JKS)
Descriptors: Individual Differences, Mathematical Models, Multidimensional Scaling, Statistical Analysis
Peer reviewedDunn, Terrence R.; Harshman, Richard A. – Psychometrika, 1982
The kinds of individual differences in perceptions permitted by the weighted euclidean model for multidimensional scaling are more restrictive than those allowed by models developed by Tucker or Carroll. It is shown how problems which occur when using the more general models can be removed. (Author/JKS)
Descriptors: Data Analysis, Individual Differences, Mathematical Models, Multidimensional Scaling
Peer reviewedPennell, Roger – Educational and Psychological Measurement, 1972
Author argues that simplistic and/or heuristic approaches to the Tucker and Messick model (an individual differences model for multidimensional scaling, 1963) are often inadequate. (Author/CB)
Descriptors: Data Analysis, Evaluation, Individual Differences, Mathematical Models
Peer reviewedCoombs, Clyde H. – Psychometrika, 1975
Descriptors: Correlation, Dimensional Preference, Individual Differences, Models

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