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Kim, Minkyung; Crossley, Scott A.; Kyle, Kristopher – Modern Language Journal, 2018
This study conceptualizes lexical sophistication as a multidimensional phenomenon by reducing numerous lexical features of lexical sophistication into 12 aggregated components (i.e., dimensions) via a principal component analysis approach. These components were then used to predict second language (L2) writing proficiency levels, holistic lexical…
Descriptors: Language Proficiency, Lexicology, Multidimensional Scaling, Language Acquisition
Mazen, A. Magid – 1984
Holland's (1973) theory of vocational choice proposes a typology of, and a match between, people and occupations. The Self Directed Search (SDS) can be used to assess people's occupational orientation types. To assess the construct validity of Holland's theory of occupational preferences, 171 female industrial workers participated in a study,…
Descriptors: Career Choice, Career Counseling, Multidimensional Scaling, Personality Traits
Peer reviewedHale, Robert L. – Multivariate Behavioral Research, 1979
This investigation analyzed the diagnostic utility of subtest scores in differentiating between underachieving children and children who were adequately achieving. The use of derived classification equations from group statistics in individual diagnosis led to dramatic levels of misclassification among underachieving students. (Author/CTM)
Descriptors: Achievement Tests, Elementary Secondary Education, Intelligence Tests, Multidimensional Scaling
Goldman, Mark S.; Darkes, Jack – Psychological Assessment, 2004
Despite several decades of activity, alcohol expectancy research has yet to merge measurement approaches with developing memory theory. This article offers an expectancy assessment approach built on a conceptualization of expectancy as an information processing network. The authors began with multidimensional scaling models of expectancy space,…
Descriptors: Memory, Information Processing, Multidimensional Scaling, Expectation
Dancer, L. Suzanne – 1987
This study had two purposes: to test the usefulness of partial order scalogram analysis with multivariate response data; and to illustrate the multidimensional nature of suicide risk. A detailed introduction describes partial order scalograms, which locate respondents' profiles in a two-dimensional space (rather than on a unidimensional Guttman…
Descriptors: Affective Measures, Behavior Patterns, Depression (Psychology), Multidimensional Scaling
Huberty, Carl J; Smith, Janet C. – 1982
Predictive discriminant analysis involves a technique used in multivariate classification, i.e., in predicting membership in well-defined groups for units on which multiple measures are available. The validation (assessment) of group membership predictions pertains to two problems: estimating true proportions of correct classifications (i.e., hit…
Descriptors: Classification, Cluster Grouping, Discriminant Analysis, Estimation (Mathematics)
Peer reviewedYoung, Forrest W.; Cliff, Norman – Psychometrika, 1972
A metric multidimensional scaling (MDS) procedure based on computer-subject interaction is developed, and an experiment designed to validate the procedure is presented. (Author)
Descriptors: Algorithms, Mathematical Models, Multidimensional Scaling, Predictive Measurement
Reckase, Mark D.; McKinley, Robert L. – 1982
This paper reviews the existing multidimensional item response theory (IRT) models and demonstrates how one of the models can be applied to estimation of abilities from a test measuring more than one dimension. The purposes of this paper were threefold. First, the fundamental concepts required when considering multidimensional models for the…
Descriptors: Estimation (Mathematics), Higher Education, Latent Trait Theory, Mathematical Models

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