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Shell, Duane F.; Husman, Jenefer – Journal of Educational Psychology, 2008
This study of 397 undergraduate students examined relations between self-reported control, goal orientation, future time perspective, affect, and strategic self-regulation. Five patterns were found in three canonical dimensions. The high end of bipolar Dimension 1 linked high self-regulated strategy use and study effort to high self-efficacy,…
Descriptors: Undergraduate Students, Self Efficacy, Goal Orientation, Time Perspective
Egan, Toby Marshall – Human Resource Development Quarterly, 2008
Although human resource development practitioners and researchers emphasize organizational culture as a major contributor to employee learning and development, results from this study suggest organizational subculture has greater influence on employee-related learning motivation. The relationships among organizational culture, organizational…
Descriptors: Subcultures, Organizational Culture, Learning Motivation, Organizational Change
Jang, Eunice Eunhee; Roussos, Louis – Journal of Educational Measurement, 2007
This article reports two studies to illustrate methodologies for conducting a conditional covariance-based nonparametric dimensionality assessment using data from two forms of the Test of English as a Foreign Language (TOEFL). Study 1 illustrates how to assess overall dimensionality of the TOEFL including all three subtests. Study 2 is aimed at…
Descriptors: Reading Comprehension, Nonparametric Statistics, Listening Comprehension, Hypothesis Testing
Monahan, Patrick O.; Stump, Timothy E.; Finch, Holmes; Hambleton, Ronald K. – Applied Psychological Measurement, 2007
DETECT is a nonparametric "full" dimensionality assessment procedure that clusters dichotomously scored items into dimensions and provides a DETECT index of magnitude of multidimensionality. Four factors (test length, sample size, item response theory [IRT] model, and DETECT index) were manipulated in a Monte Carlo study of bias, standard error,…
Descriptors: Test Length, Sample Size, Monte Carlo Methods, Geometric Concepts
Hahs-Vaughn, Debbie; Zygouris-Coe, Vicky; Fiedler, Rebecca – Technology, Pedagogy and Education, 2007
Online professional development is multidimensional. It encompasses: a) an online, web-based format; b) professional development; and most likely c) specific objectives tailored to and created for the respective online professional development course. Evaluating online professional development is therefore also multidimensional and as such both…
Descriptors: Professional Development, Online Courses, Blended Learning, Evaluation Methods
Wolff, Phillip – Journal of Experimental Psychology: General, 2007
The dynamics model, which is based on L. Talmy's (1988) theory of force dynamics, characterizes causation as a pattern of forces and a position vector. In contrast to counterfactual and probabilistic models, the dynamics model naturally distinguishes between different cause-related concepts and explains the induction of causal relationships from…
Descriptors: Cognitive Mapping, Physics, Models, Simulation
SenGupta, Saumitra – 1992
A way of identifying non-random patterns of effects on a group of individuals as a result of some intervention when a sample of participants is arrayed according to some indices of similarity is presented. The principle of proximal similarity and the concept of pattern matching provide the background for this effort. Major advantages are the…
Descriptors: Computer Simulation, Maps, Matrices, Multidimensional Scaling
Peer reviewedYoung, Forest; Baker, Robert F. – Psychometrika, 1975
The Individual Scaling with Individual Subjects (ISIS) procedure appears to be a viable implementation of an incomplete design for collecting real as well as simulated data. Applied to a multidimensional set of data, it reduced the number of judgments required by more than half and yet gave the same number of dimensions. (Author/RC)
Descriptors: Correlation, Data Collection, Matrices, Multidimensional Scaling
Peer reviewedLund, Thorleif – Multivariate Behavioral Research, 1974
It is shown that the Stone-Coles method is not a content method, but rather an alternative to the ordinary distance methods. As such, it is argued, it is of limited value. (Author)
Descriptors: Distance, Factor Analysis, Goodness of Fit, Multidimensional Scaling
Peer reviewedSamejima, Fumiko – Psychometrika, 1974
Descriptors: Factor Analysis, Latent Trait Theory, Matrices, Models
Peer reviewedSpence, Ian; Domoney, Dennis W. – Psychometrika, 1974
Monte Carlo procedures were used to investigate the properties of a nonmetric multidimensional scaling algorithm when used to scale an incomplete matrix of dissimilarities. Recommendations for users wishing to scale incomplete matrices are made. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Correlation, Matrices
Peer reviewedCoombs, Clyde H. – Psychometrika, 1975
Descriptors: Correlation, Dimensional Preference, Individual Differences, Models
Peer reviewedDavis, Gary A.; Subkoviak, Michael J. – Journal of Educational Measurement, 1975
A nonmetric multidimensional analysis is used to identify the subscale structure of a creativity inventory. The instrument used assesses attitudes, interests, motivations, values, and other personality and biographical matters which characterize creative individuals. (Author)
Descriptors: Creativity Tests, Individual Characteristics, Individual Psychology, Multidimensional Scaling
Peer reviewedLevine, David M. – Psychometrika, 1978
Monte Carlo procedures are used to develop stress distributions using Kruskal's second stress formula. These distributions can be used in multidimensional scaling procedures to determine whether a set of data has other than random structure. (Author/JKS)
Descriptors: Hypothesis Testing, Monte Carlo Methods, Multidimensional Scaling, Psychometrics
Peer reviewedRamsay, J. O. – Psychometrika, 1978
Techniques are developed for constructing confidence regions for each of the points in a multidimensional scaling solution. Bayesian credibility regions are discussed, and a technique for displaying these regions is described. (Author/JKS)
Descriptors: Bayesian Statistics, Hypothesis Testing, Mathematical Models, Measurement Techniques

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