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Thompson, Bruce – 1982
A "doubly-centered" raw data matrix is one for which both columns and rows have both unit variance and means equal to zero. The factor scores from one analysis are the same as factor pattern coefficients from the other analysis except for a variance adjustment. This study explored an extension of the reciprocity principle which may have…
Descriptors: Factor Analysis, Factor Structure, Matrices, Rating Scales
Peer reviewedBell, John F. – Journal of Educational Statistics, 1985
This paper outlines the problems associated with the estimation of variance components in generalizability analyses using analysis of variance software, and discusses the most useful software currently available for this specialist application: the MIVQUE method of the Statistical Analysis System (SAS) procedure VARCOMP. (Author)
Descriptors: Analysis of Variance, Computer Software, Generalizability Theory, Matrices
Peer reviewedCeurvorst, Robert W.; Krus, David J. – Applied Psychological Measurement, 1979
A method for computation of dominance relations and for construction of their corresponding hierarchical structures is presented. The link between dominance and variance allows integration of the mathematical theory of information with least squares statistical procedures without recourse to logarithmic transformations of the data. (Author/CTM)
Descriptors: Analysis of Variance, Information Theory, Least Squares Statistics, Mathematical Models
Peer reviewedWhite, Howard D.; Calhoun, Karen – Journal of the American Society for Information Science, 1984
Enrollment data for 1977-1982 are used to produce an innovative map of top 42 elective courses in Drexel University's School of Library and Information Science. Data gathering and computing procedures are given in sufficient detail for replication and evidence is relevant to accreditation standards of American Library Association. (Sixteen…
Descriptors: College Curriculum, Data Collection, Data Processing, Elective Courses
Choppin, Bruce – 1982
A strategy for overcoming problems with the Rasch model's inability to handle missing data involves a pairwise algorithm which manipulates the data matrix to separate out the information needed for the estimation of item difficulty parameters in a test. The method of estimation compares two or three items at a time, separating out the ability…
Descriptors: Difficulty Level, Estimation (Mathematics), Goodness of Fit, Item Analysis


