Descriptor
Source
Multivariate Behavioral… | 4 |
Author
De Ayala, R. J. | 1 |
Farley, John U. | 1 |
Gliner, Gail | 1 |
Hertzog, Melody A. | 1 |
LaPorte, Ronald E. | 1 |
Voss, James F. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Gliner, Gail; And Others – Multivariate Behavioral Research, 1983
Exploratory multidimensional scaling and confirmatory nonparametric procedures were used to represent data from similarity rating and sorting tasks on nine animal names administered prior to and following the reading of two stories using those names as main characters. Changes in structure were related to authors' intent. (Author/JKS)
Descriptors: Learning Processes, Measurement Techniques, Multidimensional Scaling, Reading Comprehension

LaPorte, Ronald E.; Voss, James F. – Multivariate Behavioral Research, 1979
Multidimensional scaling was used to study the comprehension of prose. Undergraduates rated the similarity of twenty nouns before and after reading passages containing those nouns. Results indicated that the scaling analysis provided an effective valid indicator of prose representation. (Author/JKS)
Descriptors: Higher Education, Measurement Techniques, Multidimensional Scaling, Prose

De Ayala, R. J.; Hertzog, Melody A. – Multivariate Behavioral Research, 1991
Multidimensional scaling (MDS) and exploratory and confirmatory factor analyses were compared in the assessment of the dimensionality of data sets, using sets generated to be one-dimensional or two-dimensional and differing in degree of interdimensional correlation and number of items defining a dimension. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Factor Structure

Farley, John U.; And Others – Multivariate Behavioral Research, 1974
Evaluation of attributes of a subcompact car were combined in linear regressions predicting liking and purchase intention. Of two forms--raw scales and scales weighted by the importance attached to each attribute by each subject--unweighted evaluations proved more consistent and important predictors than those weighted by their saliency. (Author)
Descriptors: Attitudes, Decision Making, Design Preferences, Design Requirements