Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 27 |
| Since 2017 (last 10 years) | 79 |
| Since 2007 (last 20 years) | 355 |
Descriptor
Source
Author
| Davison, Mark L. | 19 |
| Marsh, Herbert W. | 15 |
| Sireci, Stephen G. | 13 |
| Kim, Se-Kang | 9 |
| DeSarbo, Wayne S. | 8 |
| Reckase, Mark D. | 8 |
| Subkoviak, Michael J. | 8 |
| Takane, Yoshio | 8 |
| Young, Forrest W. | 7 |
| Ding, Cody | 6 |
| Heiser, Willem J. | 6 |
| More ▼ | |
Publication Type
Education Level
Location
| Canada | 21 |
| Australia | 19 |
| United States | 17 |
| China | 14 |
| Germany | 14 |
| Turkey | 11 |
| United Kingdom | 11 |
| Israel | 8 |
| Netherlands | 8 |
| Spain | 8 |
| California | 7 |
| More ▼ | |
Laws, Policies, & Programs
| Coronavirus Aid Relief and… | 1 |
| Elementary and Secondary… | 1 |
| Individuals with Disabilities… | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Korell, Diane M.; Safrit, Margaret J. – Research Quarterly, 1977
Research into statistical validations of constructs in physical education obtained by seriation and multidimensional scaling, revealed that (a) larger matrix sizes produced the most accurate results; (b) as data error introduction was increased, solution accuracy decreased; and (c) seriation produced slightly more accurate results than one- and…
Descriptors: Educational Theories, Multidimensional Scaling, Physical Education, Statistical Analysis
Peer reviewedFitzgerald, Louise F.; Hubert, Lawrence J. – Journal of Counseling Psychology, 1987
Describes the use of multidimensional scaling (MDS), emphasizing applications in counseling and vocational psychology. Includes an example of one standard nonmetric scaling method. Addresses conceptual and practical considerations associated with the use of MDS. (Author/KS)
Descriptors: Behavioral Science Research, Counseling, Multidimensional Scaling, Scaling
Peer reviewedClark, Andrew K. – Psychometrika, 1976
Critical examination is made of the recent controversy over the value of Monte Carlo techniques in nonmetric multidimensional scaling procedures. The case is presented that the major relevance of Monte Carlo studies is not for the local minima problem but for the meaningfulness of the obtained solutions. (Author)
Descriptors: Comparative Analysis, Monte Carlo Methods, Multidimensional Scaling, Statistical Analysis
Peer reviewedBechtel, Gordon G. – Psychometrika, 1973
It is the purpose of this paper to suggest the orthogonal analysis of variance as a device for simplifying either the analytic or iterative problem of finding LS (least squares) estimates for the parameters of particular nonlinear models. (Author/RK)
Descriptors: Analysis of Variance, Models, Multidimensional Scaling, Psychometrics
Peer reviewedDavidson, J. A. – Psychometrika, 1972
Descriptors: Geometric Concepts, Mathematical Models, Multidimensional Scaling, Serial Ordering
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 reviewedMiyano, Hisao; Inukai, Yukio – Psychometrika, 1982
The concept of sequential estimation is introduced in multidimensional scaling. The sequential estimation method developed in this paper refers to continually updating estimates of a configuration as new observations are added. Using artificial data, the performance of this sequential method is illustrated. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Estimation (Mathematics), Multidimensional Scaling
Peer reviewedBorg, Ingiver; Lingoes, James C. – Psychometrika, 1980
A method for externally constraining certain distances in multidimensional scaling configurations is introduced and illustrated. The method is described in detail and several examples are presented. (Author/JKS)
Descriptors: Algorithms, Hypothesis Testing, Mathematical Models, Multidimensional Scaling
Peer reviewedLevin, Joseph; Brown, Morton – Psychometrika, 1979
Two least squares procedures for symmetrization of a conditional proximity matrix are derived. The solutions provide multiplicative constants for scaling the rows or columns of the matrix to maximize symmetry. (Author/JKS)
Descriptors: Matrices, Multidimensional Scaling, Proximity, Symmetry
Peer reviewedJones, Russell A.; And Others – Multivariate Behavioral Research, 1989
The stability of dimensions extracted from a body of free response data was studied using 1,523 expressions of concern and questions raised by 271 elderly persons and analyzed by 2 groups of experimenters. The structures of resulting multidimensional configurations obtained by the 2 groups were identical. (SLD)
Descriptors: Data Analysis, Hypothesis Testing, Multidimensional Scaling, Older Adults
Peer reviewedWinsberg, Suzanne; Carroll, J. Douglas – Psychometrika, 1989
An Extended Two-Way Euclidean Multidimensional Scaling (MDS) model that assumes both common and specific dimensions is described and contrasted with the "standard" (Two-Way) MDS model. Illustrations with both artificial and real data on the judged similarity of nations are provided. (TJH)
Descriptors: Algorithms, Chi Square, Maximum Likelihood Statistics, Multidimensional Scaling
Peer reviewedThomas, Jo Ann; Stock, William A. – International Journal of Aging and Human Development, 1988
Investigated concept of happiness in 100 adults, aged 19 to 90, and in 126 Catholic nuns, aged 26 to 89. Subjects gave word associates to words "happiness" and "unhappiness." In both samples, two-dimensional space was judged to optimally fit data. First dimension was interpreted as bipolar affective dimension; second as representing personal…
Descriptors: Adults, Age Differences, Happiness, Multidimensional Scaling
Peer reviewedCommandeur, Jacques J. F.; Groenen, Patrick J. F.; Meulman, Jacqueline J. – Psychometrika, 1999
Presents two methods for including weights in distance-based nonlinear multivariate data analysis. One method assigns weights to the objects, while the other is concerned with differential weighing of groups of variables. Discusses applications of these weighting schemes and proposed an algorithm to minimize the corresponding loss function. (SLD)
Descriptors: Algorithms, Multidimensional Scaling, Multivariate Analysis, Research Methodology
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Melis, Cor; van Boxtel, Anton – Intelligence, 2007
We examined autonomic physiological responses induced by six different cognitive ability tasks, varying in complexity, that were selected on the basis of on Guilford's Structure of Intellect model. In a group of 52 participants, task performance was measured together with nine different autonomic response measures and respiration rate. Weighted…
Descriptors: Cognitive Ability, Multidimensional Scaling, Inhibition, Intelligence

Direct link
