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Cogliser, Claudia C.; Schriesheim, Chester A. – Educational and Psychological Measurement, 1994
A method of testing semantic differential scales for bipolarity is developed using a new conception of bipolarity that does not require unidimensionality. Assessment of Fielder's Least Preferred Coworker instrument with 63 college student subjects using multidimensional scaling revealed its significant departures from bipolarity. (SLD)
Descriptors: College Students, Higher Education, Multidimensional Scaling, Semantic Differential

Everett, A. V. – Educational and Psychological Measurement, 1973
The feasibility of personality measurement through the Semantic Differential and an examination of the degree of relationship between the semantic space and the preference and similarity space derived by independent means are reported. All three phases of the study met with essentially negative results. (Author/NE)
Descriptors: Individual Characteristics, Measurement Techniques, Personality Measures, Self Concept Measures

Kane, Robert B. – Educational and Psychological Measurement, 1971
Descriptors: Factor Structure, Questionnaires, Rating Scales, Semantic Differential

Schriesheim, Chester A.; And Others – Educational and Psychological Measurement, 1994
Eighteen bipolar adjective pairs that are used in Fielder's Least Preferred (LPC) coworker instrument were examined using 2 scaling techniques with a sample of 113 respondents. Both pair-comparison treatments suggest that true bipolarity does not characterize most of the paired adjectives. Implications for LPC and semantic differential research…
Descriptors: Adjectives, Adults, Attitudes, Estimation (Mathematics)

Permut, Steven E. – Educational and Psychological Measurement, 1974
Underlying factor structure of 10 concepts rated by 67 students in an introductory advertising course was examined. Dimensions of relevance were found to conform to results reported by Menges and Trumpeter (1971) suggesting the potential for a university of basic dimensions of educational relevance across diverse fields of learning. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Higher Education, Questionnaires

Walker, Betty A.; Robinson, Rick – Educational and Psychological Measurement, 1977
A semantic differential instrument was devised to predict success of counselor-trainees in a practicum course. The instrument was not useful in predicting success. (Author/JKS)
Descriptors: Counseling Instructional Programs, Counselor Evaluation, Counselor Training, Predictor Variables

Piotrowski, Chris; Dunham, Frances Y. – Educational and Psychological Measurement, 1984
Research on the semantic differential technique has provided evidence for variance in Osgood's formulation of dimensions of connotative meaning. Retest data based on Piotrowski's original sample is reported. Results indicate support for stability and consistency of the Evaluation dimension. Moderate consistency was found in scales comprising the…
Descriptors: Elementary Education, Factor Analysis, Factor Structure, Semantic Differential

Butzow, John W.; Williams, Clarence M. – Educational and Psychological Measurement, 1973
In this study a test of vocational choice was developed and field tested for construct validity. (Authors)
Descriptors: Career Choice, Factor Analysis, Measurement Instruments, Semantic Differential

Lawson, E. D.; And Others – Educational and Psychological Measurement, 1972
Copies of the program in FORTRAN IV with descriptive comments and sample data as run on the CDC 6400 are available on request from George H. Golden, Jr., Computer Center, State University College, Fredonia, New York 14063. (Authors)
Descriptors: Computer Programs, Data Analysis, Data Processing, Flow Charts

Terranova, Carmelo – Educational and Psychological Measurement, 1974
High School seniors responded to two semantic differential instruments, containing dissimilar concepts purporting to measure the same variables, both before and after attending a college summer orientation program. Before-after component combinations were found to be highly similar. (Author/RC)
Descriptors: Congruence, Factor Structure, High School Students, Pretesting

Whitney, Douglas R. – Educational and Psychological Measurement, 1978
Statistical tests for determining whether one pole of an attitude scale is characteristic of a population are examined. A less restrictive procedure and the situations in which it might be used are discussed. (Author/JKS)
Descriptors: Attitude Measures, Bias, Hypothesis Testing, Mathematical Models

Sherry, David L.; Piotrowski, Chris – Educational and Psychological Measurement, 1986
The consistency of factor structure of Osgood's semantic differential was examined in three different adult samples, aged 18 to 87. Three different concepts were used: the University of West Florida, Myself, and Death. Results indicated consistency for the evaluation factor and moderate consistency for potency and activity. (Author/GDC)
Descriptors: Adults, Black Students, Factor Structure, Higher Education

Moore, Michael – Educational and Psychological Measurement, 1973
Ambivalence, as assessed by the described modification of the semantic differential technique, was a predictor of predictability. (Author/CB)
Descriptors: Attitude Measures, College Students, Measurement Techniques, Predictor Variables

Kennedy, John K., Jr.; And Others – Educational and Psychological Measurement, 1987
Confirmatory factor analysis was used to test Fiedler's contingency model of leader effectiveness, which characterizes leaders as either task-oriented or motivated by successful interpersonal relations. Results using undergraduate students had negative implications for the validity of the model and the Least Preferred Coworker Scale. (GDC)
Descriptors: Adults, Construct Validity, Higher Education, Leadership Effectiveness

Terranova, Carmelo – Educational and Psychological Measurement, 1971
A computer program designed to compare factors from similar concept matrices (person by scale) obtained at different times is presented. (PR)
Descriptors: Attitude Change, Comparative Analysis, Computer Programs, Factor Structure
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