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Kehoe, Jerard; Reynolds, Thomas J. – Applied Psychological Measurement, 1977
A computer-interactive multidimensional scaling program was used together with free response methods to represent and label dimensions of individual cognitive structure underlying persons' perceptions. The dimensional structures derived were predictive of semantic differential, paired comparison, and Repertory Grid Test triad judgments.…
Descriptors: Cognitive Processes, Computer Programs, Higher Education, Multidimensional Scaling
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Tzeng, Oliver C. S. – Applied Psychological Measurement, 1977
A new method for separating affective and denotative meaning subsystems in semantic differential ratings of any homogeneous concept domain is developed and illustrated using personality ratings data. Possible applications of this method are discussed. (Author/JKS)
Descriptors: Abstract Reasoning, Affective Behavior, Cognitive Processes, Factor Structure
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Barnes, Janet L.; Landy, Frank J. – Applied Psychological Measurement, 1979
Although behaviorally anchored rating scales have both intuitive and empirical appeal, they have not always yielded superior results in contrast with graphic rating scales. Results indicate that the choice of an anchoring procedure will depend on the nature of the actual rating process. (Author/JKS)
Descriptors: Behavior Rating Scales, Comparative Testing, Higher Education, Rating Scales
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Mayerberg, Cathleen Kubiniec; Bean, Andrew G. – Applied Psychological Measurement, 1979
Evidence is presented for the existence of two types of factors when semantic differential data are factor analyzed by treating each concept-scale combination as a variable: (1) factors defined by scales within given concepts; and (2) factors defined by scales across concepts. (Author/MH)
Descriptors: Attitude Measures, College Freshmen, College Mathematics, Factor Analysis
Peer reviewed Peer reviewed
And Others; Mann, Irene T. – Applied Psychological Measurement, 1979
Several methodological problems (particularly the assumed bipolarity of scales, instructions regarding use of the midpoint, and concept-scale interaction) which may contribute to a lack of precision in the semantic differential technique were investigated. Results generally supported the use of the semantic differential. (Author/JKS)
Descriptors: Analysis of Variance, Computer Assisted Testing, Higher Education, Rating Scales