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Zendler, Andreas; Klaudt, Dieter; Seitz, Cornelia – Journal of Educational Computing Research, 2014
The authors discuss empirically determined competence areas to K-12 computer science education, emphasizing the cognitive level of competence. The results of a questionnaire with 120 professors of computer science serve as a database. By using multi-dimensional scaling and cluster analysis, four competence areas to computer science education…
Descriptors: Elementary Secondary Education, Computer Science Education, Competence, Cognitive Processes
Iris, Madelyn; Ridings, John W.; Conrad, Kendon J. – Gerontologist, 2010
Purpose: Elder self-neglect (ESN) represents half or more of all cases reported to adult protective services. ESN directly affects older adults and also their families, neighbors, and the larger communities around them. ESN has public health implications and is associated with higher than expected mortality rates, hospitalizations, long-term care…
Descriptors: Concept Mapping, Elder Abuse, Brainstorming, Public Health
Vieillard, Sandrine; Guidetti, Michele – Journal of Experimental Child Psychology, 2009
The current study examined the abilities of children (6 and 8 years of age) and adults to freely categorize and label dynamic bodily/facial expressions designed to portray happiness, pleasure, anger, irritation, and neutrality and controlled for their level of valence, arousal, intensity, and authenticity. Multidimensional scaling and cluster…
Descriptors: Children, Classification, Labeling (of Persons), Multivariate Analysis
D'Agostino, Jerome; Karpinski, Aryn; Welsh, Megan – International Journal of Testing, 2011
After a test is developed, most content validation analyses shift from ascertaining domain definition to studying domain representation and relevance because the domain is assumed to be set once a test exists. We present an approach that allows for the examination of alternative domain structures based on extant test items. In our example based on…
Descriptors: Expertise, Test Items, Mathematics Tests, Factor Analysis
Kiers, Henk A. L.; Vicari, Donatella; Vichi, Maurizio – Psychometrika, 2005
For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis (CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of CA, MDS and using external information are…
Descriptors: Classification, Multidimensional Scaling, Multivariate Analysis, Models
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 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

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