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Boatright-Horowitz, Su L.; Arruda, Chris – Assessment & Evaluation in Higher Education, 2013
College students' categorical perceptions of numeric and alphabetic grades were examined by assigning participants to one of four conditions: numeric grades alphabetic grades, numeric non-grades and alphabetic non-grades. They were then asked to give ratings for each possible grade or non-grade, using a 10-point scale. Factor analysis revealed…
Descriptors: College Students, Student Attitudes, Likert Scales, Factor Analysis

Davis, Junius A. – 1965
In this analysis of the structure of the faculty characterizations of students, the same data was used as in the initial study. An oblique solution was obtained by applying the Promax method of Hendrickson and White to the previous Equamax solution. This yielded 18 factors. From intercorrelations among the factor axes, a principal axes procedure…
Descriptors: Cluster Grouping, College Faculty, College Students, Correlation
Sirotnik, Kenneth A. – 1979
This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…
Descriptors: Behavioral Science Research, Cluster Analysis, Cluster Grouping, Correlation

Davis, Junius A. – 1964
The structure of characterizations of college students by faculty members, particularly observable and significant dimensions or trait patterns, were investigated. Student ratings by faculty members on 80 bi-polar traits, together with Scholastic Aptitude Test (SAT) scores and high school and college freshman average grades, were obtained.…
Descriptors: Academic Achievement, Admission Criteria, Cluster Grouping, College Faculty
Talbott, Albert D. – 1971
The development of Q methodology is briefly reviewed, and the methodology itself is briefly described. Finally, a number of the issues are raised relating to the use of Q. Q methodology can have fruitful applications if it is not used indescriminately. Appropriate use of Q requires careful attention to the way the problems being researched are…
Descriptors: Attitude Measures, Attitudes, Behavioral Science Research, Cluster Grouping
Davis, Junius A. – 1964
This report, a continuation of the study described in TM 000 174 and TM 000 176, employs identical data and similar methods to determine the nature of desirability separate and apart from the rater's perception of the student's academic performance (rather than his actual performance). The results show an absorption in the faculty perception of…
Descriptors: Academic Achievement, Admission Criteria, Cluster Grouping, College Faculty