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OECD Publishing (NJ1), 2009
The Organisation for Economic Cooperation and Development's (OECD's) Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries. PISA examines how well students are prepared to meet the challenges of the future,…
Descriptors: Policy Formation, Scaling, Academic Achievement, Interrater Reliability

Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis
Stubbs, K. L. – 1984
Based on statistical data submitted by almost 3,000 academic libraries as part of the 1978-1979 Higher Education General Information Survey (HEGIS), this report develops a composite profile of an academic research library. Use of cluster analysis of library characteristics to find institutions that were quantitatively similar to one another…
Descriptors: Academic Libraries, Cluster Analysis, Data Analysis, Factor Analysis

Kleban, Morton H. – 1978
Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…
Descriptors: Biological Influences, Data Analysis, Factor Analysis, Factor Structure