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Deguo, Zhao; Yanhou, Cai; Yongjun, Feng; Lingfeng, Wang – Chinese Education and Society, 2009
Since 2002, the University Evaluation Task Force of China University Alumni Association Network (CUAA), "University Weekly" and "21st Century Talent Report" have made joint efforts in the evaluation of higher education institutions in China. Compared with the ranking in 2007, China's University Ranking in the 2008 report is…
Descriptors: Higher Education, Awards, Innovation, Research Reports
Lang, W. Steve – Online Submission, 2008
The INTASC Principles, when used as the basis for developing appropriate measurement instruments to assess teacher dispositions, provide a viable approach to the diagnosis and remediation of skill-related affective performance in teacher candidates and also to meeting NCATE requirements for Standard 1. In this symposium, the development and use of…
Descriptors: Computer Software, Teacher Education Programs, Rating Scales, Measurement
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Frederiksen, Norman; And Others – Intelligence, 1984
An investigation of social behavior measures obtained from interviews and a wide variety of cognitive variables rarely produced significant relations. Results suggest that rather than trying to place social intelligence within a cognitive abilities taxonomy, a separate taxonomy of social intelligence should be developed. (Author/BS)
Descriptors: Classification, Cognitive Processes, Cognitive Tests, Higher Education
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Schriesheim, Chester A.; And Others – Educational and Psychological Measurement, 1989
Three studies explored the effects of grouping versus randomized items in questionnaires on internal consistency and test-retest reliability with samples of 80, 80, and 100, respectively, university students and undergraduates. The 2 correlational and 1 experimental studies were reasonably consistent in demonstrating that neither format was…
Descriptors: Classification, College Students, Evaluation Methods, Higher Education
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Kloot, Willem A. van der; Herk, Hester van – Multivariate Behavioral Research, 1991
Two sets of real sorting data from 50 college students are used to compare results of multidimensional scaling of raw co-occurrence frequencies or dissimilarity measures (D) and profile distances (delta) to determine which yields a better representation of the underlying structure of 2 sets of stimuli. Slight differences are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, College Students, Comparative Analysis