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Peer reviewedMarascuilo, Leonard A.; Busk, Patricia L. – Journal of Counseling Psychology, 1987
Describes the loglinear model, and applies it to categorical data cross-tabulated on four dimensions. Defines contrasts similar to those of the analysis of variance and describes post hoc and planned comparison strategies. Illustrates hypothesis testing and model building for categorical data, providing guidelines for performing an analysis on…
Descriptors: Behavioral Science Research, Counseling, Hypothesis Testing, Models
Peer reviewedAnd Others; Carroll, J. Douglas – Psychometrika, 1980
A data analysis model called CANDELINC performs a broad range of multidimensional data analyses. The model allows for the incorporation of general linear constraints. Several examples are presented. (JKS)
Descriptors: Factor Analysis, Least Squares Statistics, Mathematical Models, Multidimensional Scaling
Peer reviewedMiller, Robert – Bulletin of the Council for Research in Music Education, 1989
Provides a nontechnical explanation of the family of multivariate statistical techniques known as multidimensional scaling (MDS). Explains the purpose of MDS, and the advantages of using these techniques in the study of musical perception. Discusses two approaches to the interpretation of MDS solutions. Lists examples of musical studies using MDS.…
Descriptors: Models, Multidimensional Scaling, Multivariate Analysis, Music
Miller, Jeff; Alderton, Mark – Journal of Experimental Psychology: Human Perception and Performance, 2006
Bottleneck models of psychological refractory period (PRP) tasks suggest that a Task 1 response should be unaffected by the Task 2 response in the same trial, because selection of the former finishes before selection of the latter begins. Contrary to this conception, the authors found backward response-level crosstalk effects in which Task 2…
Descriptors: Reaction Time, Cognitive Processes, Responses, Task Analysis
Peer reviewedvan der Burg, Eeke; de Leeuw, Jan – Psychometrika, 1988
Homogeneity analysis (multiple correspondence analysis), which is usually applied to "k" separate variables, was applied to sets of variables by using sums within sets. The resulting technique, OVERALS, uses optimal scaling. The corresponding OVERALS computer program minimizes a least squares loss function via an alternating least…
Descriptors: Algorithms, Factor Analysis, Least Squares Statistics, Multidimensional Scaling
Yercan, Funda; Fricke, Donna; Stone, Laurie – Educational Studies, 2005
Maritime services form an integral part of what regulatory agencies requires for the safe navigation and operation of vessels. Therefore, the maritime industry's compliance with governmental regulations and international protocols has been essential for maritime safety management. As a basis to this aspect, the preparation of maritime students as…
Descriptors: Transportation, Safety, Industry, Official Languages
Mroch, Andrew A.; Bolt, Daniel M. – Applied Measurement in Education, 2006
Recently, nonparametric methods have been proposed that provide a dimensionally based description of test structure for tests with dichotomous items. Because such methods are based on different notions of dimensionality than are assumed when using a psychometric model, it remains unclear whether these procedures might lead to a different…
Descriptors: Simulation, Comparative Analysis, Psychometrics, Methods Research
Peer reviewedMiller, Donald M.; And Others – Multivariate Behavioral Research, 1986
Two techniques compose a new methodology for studying certain classes of qualitative information: the F-sort task for data collection and latent partition analysis for data summarization. A detailed presentation is given of its application to a study of teacher's views of facilitating student learning in the classroom. (Author/LMO)
Descriptors: Classification, Concept Formation, Data Collection, Elementary Secondary Education
Dzhafarov, Ehtibar N.; Colonius, Hans – Psychometrika, 2006
We describe a principled way of imposing a metric representing dissimilarities on any discrete set of stimuli (symbols, handwritings, consumer products, X-ray films, etc.), given the probabilities with which they are discriminated from each other by a perceiving system, such as an organism, person, group of experts, neuronal structure, technical…
Descriptors: Psychometrics, Stimuli, Probability, Discriminant Analysis
Hawkins, Colleen C.; Watt, Helen M. G.; Sinclair, Kenneth E. – Educational and Psychological Measurement, 2006
The psychometric properties of the Frost, Marten, Lahart, and Rosenblate Multidimensional Perfectionism Scale (1990) are investigated to determine its usefulness as a measurement of perfectionism with Australian secondary school girls and to find empirical support for the existence of both healthy and unhealthy types of perfectionist students.…
Descriptors: Foreign Countries, Psychometrics, Multidimensional Scaling, Secondary School Students
Veenker, C. Harold; Torabi, Mohammad R. – Health Education (Washington D.C.), 1983
Researchers evaluated the construct validity of attitude measures containing feeling, belief, and intention-to-act components. Evidence strongly suggests that treating these three factors as unidimensional concepts is inadequate for measuring health attitudes--a multidimensional approach is needed. (PP)
Descriptors: Attitude Measures, Factor Analysis, Health Education, Higher Education
Rubin, David C. – Journal of Verbal Learning and Verbal Behavior, 1980
After evaluation of 125 words was obtained on 51 separate scales, six more general factors emerged: spelling and sound, imagery and meaning, word frequency, recall, emotionality, and goodness. The claim is that multivariate research is a necessary addition to the study of verbal behavior. (PJM)
Descriptors: Cognitive Processes, Language Processing, Language Research, Multidimensional Scaling
Peer reviewedLuborsky, Lester – Journal of Consulting and Clinical Psychology, 1995
Reexamines a 49-year-old study of P technique applied to a psychotherapy patient with a recurrent physical symptom. Explores dimensions of psychotherapeutic change as well as the context for the recurrent symptom. Illustrates the contributions from applying the P technique to psychotherapy research, to psychosomatic medicine, and to personality…
Descriptors: Clinical Psychology, Factor Analysis, Factor Structure, Item Analysis
Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis
Smith, Thomas J.; Campbell, Cynthia – Journal of Career Assessment, 2006
The structure of occupational values is investigated using several analytical techniques. Data from the U.S. Department of Labor's Occupational Information Network (O*NET) describing need reinforcers for 900 occupations are examined using exploratory factor analysis, cluster analysis, and multidimensional scaling. Results indicated broadly defined…
Descriptors: Occupational Clusters, Career Counseling, Factor Analysis, Multidimensional Scaling

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