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Peer reviewedMelnick, Steven A.; Gable, Robert K. – Educational Research Quarterly, 1990
By administering an attitude survey to 3,328 parents of elementary school students, use of positive and negative Likert item stems was analyzed. Respondents who answered positive/negative item pairs that were parallel in meaning consistently were compared with those who answered inconsistently. Implications for construction of affective measures…
Descriptors: Affective Measures, Comparative Testing, Elementary Education, Likert Scales
Peer reviewedGable, Robert K.; Roberts, Arthur D. – Educational and Psychological Measurement, 1983
The development of the Gable-Roberts Attitude Toward School Subjects (GRASS) measure is described. Content validity is discussed; construct validity and alpha reliability data gathered on 893 high school students are presented for the attitude dimensions: General Interest, Usefulness, and Relevance. (Author)
Descriptors: Affective Measures, Attitude Measures, High Schools, School Attitudes
Download full textRoberts, Arthur D.; Gable, Robert K. – 1972
This study assessed some of the cognitive and affective elements for both the traditional and mini curricula. The hypothesis, stated in the null form, was there will be no difference between students in the mini-course curriculum and the traditional curriculum on a number of stated cognitive variables (focusing on critical thinking and reading…
Descriptors: Affective Measures, Cognitive Measurement, Comparative Analysis, Curriculum Design
Gable, Robert K.; Roberts, Arthur D. – 1973
The relationship between cognitive and affective variables in the context of predicting student achievement performance in the classroom is examined. Specifically, the study examines the two-part question: 1) to what extent, and 2) in what manner can classroom achievement (grades) be predicted by selected cognitive and affective variables. The…
Descriptors: Academic Achievement, Achievement Tests, Affective Behavior, Affective Measures
Pilotte, William J.; Gable, Robert K. – 1989
Confirmatory factor analysis (LISREL VI) is the method best suited to the comparison of measurement models when those models are based on a priori assumptions. Traditionally, positive and negative item stems were mixed on affective scales to reduce response set bias since the item pairs were considered to be parallel. Recent studies indicate that…
Descriptors: Affective Measures, Computer Science Education, Error of Measurement, Factor Analysis
Iwanicki, Edward F.; Gable, Robert K. – 1983
Evaluated in this report on Project Concern in Hartford, Connecticut, are (1) the cognitive and affective impact of Project Concern in the school year 1982-83; and (2) the sustained cognitive effects of Project Concern from Spring 1981 to Spring 1983. Project Concern began in September, 1966, as an experiment in educational intervention for…
Descriptors: Achievement Gains, Affective Measures, Educationally Disadvantaged, Elementary Secondary Education
