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Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability
Clariana, Roy B.; Engelmann, Tanja; Yu, Wu – Educational Technology Research and Development, 2013
Problem solving likely involves at least two broad stages, problem space representation and then problem solution (Newell and Simon, Human problem solving, 1972). The metric centrality that Freeman ("Social Networks" 1:215-239, 1978) implemented in social network analysis is offered here as a potential measure of both. This development research…
Descriptors: Computer Assisted Instruction, Social Networks, Network Analysis, Comparative Analysis
Hout, Michael C.; Goldinger, Stephen D.; Ferguson, Ryan W. – Journal of Experimental Psychology: General, 2013
Although traditional methods to collect similarity data (for multidimensional scaling [MDS]) are robust, they share a key shortcoming. Specifically, the possible pairwise comparisons in any set of objects grow rapidly as a function of set size. This leads to lengthy experimental protocols, or procedures that involve scaling stimulus subsets. We…
Descriptors: Visual Stimuli, Research Methodology, Problem Solving, Multidimensional Scaling
Baratta, Mary Kathryne – 1979
The advantages of the Delphi Technique are that it relies on collective expert judgment, prevents the excessive influence in decision-making of those in positions of status, and encourages consensus. The technique consists of five steps: (1) asking experts to list items relevant to a topic; (2) returning the list to the participants and asking…
Descriptors: Administration, Decision Making, Discriminant Analysis, Factor Analysis
Mendes-Barnett, Sharon; Ercikan, Kadriye – Applied Measurement in Education, 2006
This study contributes to understanding sources of gender differential item functioning (DIF) on mathematics tests. This study focused on identifying sources of DIF and differential bundle functioning for boys and girls on the British Columbia Principles of Mathematics Exam (Grade 12) using a confirmatory SIBTEST approach based on a…
Descriptors: Gender Differences, Test Bias, Mathematics Tests, Multidimensional Scaling
Friege, Gunnar; Lind, Gunter – International Journal of Science and Mathematics Education, 2006
Based on empirical findings and theoretical considerations related to the field of expertise research, the importance of "types" and "qualities" of knowledge in relation to problem solving in physics was investigated. The students (N = 138) in this study had a level of competence that corresponds to an intensive beginner college course in physics.…
Descriptors: High Achievement, Low Achievement, Physics, Problem Solving
Peer reviewedBirenbaum, Menucha; Fatsuoka, Kikumi K. – Journal of Educational Measurement, 1983
The outcomes of two scoring methods (one based on an error analysis and the second on a conventional method) on free-response tests, compared in terms of reliability and dimensionality, indicates the conventional method is inferior in both aspects. (Author/PN)
Descriptors: Achievement Tests, Algorithms, Data, Junior High Schools
Peer reviewedGliner, Gail S. – School Science and Mathematics, 1989
Examines the students' understanding of mathematical structure and the relationship between problem solving and the identification of the structure in 13 word problems. Multidimensional scaling and hierarchical cluster analysis were used to assess how subjects organized word problems in their minds. (YP)
Descriptors: Classification, Cluster Analysis, College Mathematics, Mathematical Applications
Druva, Cynthia Ann – 1985
Order Analysis is a multidimensional scaling (MDS) technique for determining order among items. This paper reviews articles by different authors describing various components of ordering theory. A common nomenclature is constructed to link together the various ideas and is applied to a fairly simple set of data. Topics discussed include a more…
Descriptors: Analysis of Variance, Developmental Stages, Factor Analysis, Learning Theories
Peer reviewedBirenbaum, Menucha; Tatsuoka, Kikumi – Journal of Educational Measurement, 1982
Empirical results from two studies--a simulation study and an experimental one--indicated that, in achievement data of the problem-solving type where a specific subject matter area is being tested, the greater the variety of the algorithms used, the higher the dimensionality of the test data. (Author/PN)
Descriptors: Achievement Tests, Algorithms, Data Analysis, Factor Structure
Peer reviewedWeinberg, Sharon Lawner; And Others – Multivariate Behavioral Research, 1993
Recently developed multidimensional-scaling methodology was used to explore the underlying structure of moral reasoning responses to 12 moral dilemmas by 111 graduate students in law and social work and to relate that structure to individual differences. Results indicate that moral reasoning must be viewed from multidimensional and interactional…
Descriptors: Decision Making, Ethics, Females, Graduate Students

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