NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 766 to 780 of 1,600 results Save | Export
Shoemaker, David M. – 1972
Investigated empirically through post mortem item-examinee sampling were the relative merits of two alternative procedures for allocating items to subtests in multiple matrix sampling and the feasibility of using the jackknife in approximating standard errors of estimate. The results indicate clearly that a partially balanced incomplete block…
Descriptors: Comparative Analysis, Error Patterns, Item Sampling, Matrices
Peer reviewed Peer reviewed
Williams, James S. – Psychometrika, 1978
A rigorous definition for a factor analysis model and a complete solution of the factor score indeterminacy problem are presented in this technical paper. The meaning and application of these results are discussed. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Peer reviewed Peer reviewed
Lancaster, Ronald J. – Mathematics Teacher, 1979
Two statements concerning magic squares, considered as 3x3 matrices, are discussed and their proofs given using only high school level techniques. (MP)
Descriptors: Algebra, Instruction, Learning Activities, Mathematics
Peer reviewed Peer reviewed
Olson, Margot A. – Journal of Educational Measurement, 1978
The use of matrix sampling to overcome the impracticality of the pair comparison method for obtaining scale values is empirically tested. Results indicate that matrix sampling is useful in such applications. (Author/JKS)
Descriptors: Item Sampling, Matrices, Measurement Techniques, Rating Scales
Peer reviewed Peer reviewed
Young, Forrest W.; And Others – Psychometrika, 1978
Principal components analysis is generalized to the case where any of the variables under consideration can be nominal, ordinal or interval. Hotelling's original formulation is seen to be a special case of this generalization. (JKS)
Descriptors: Correlation, Factor Analysis, Mathematical Models, Matrices
Peer reviewed Peer reviewed
Meredith, William – Psychometrika, 1977
A group of factor analytic rotation procedures are developed which yield both hyperplane fittings and oblique Procrustean analyses as special cases. It is generally supposed that these techniques are rather different in approach. Illustrations are presented and discussed. (Author/JKS)
Descriptors: Factor Analysis, Mathematical Models, Matrices, Oblique Rotation
Peer reviewed Peer reviewed
Velicer, Wayne F.; Fava, Joseph L. – Multivariate Behavioral Research, 1987
Principal component analysis, image component analysis, and maximum likelihood factor analysis were compared to assess the effects of variable sampling. Results with respect to degree of saturation and average number of variables per factor were clear and dramatic. Differential effects on boundary cases and nonconvergence problems were also found.…
Descriptors: Analysis of Variance, Factor Analysis, Mathematical Models, Matrices
Peer reviewed Peer reviewed
Reynolds, Thomas J.; And Others – Psychometrika, 1987
An algorithm for assessing the correspondence of one or more attribute rating variables to a symmetric matrix of dissimilarities is presented. It is useful as an alternative to fitting property variables into a multidimensional scaling space. The relation between the matrix and the variables is determined by evaluating pairs of pairs relations.…
Descriptors: Mathematical Models, Matrices, Multidimensional Scaling, Predictor Variables
Peer reviewed Peer reviewed
Mishisato, Shizuhiko – Psychometrika, 1984
This study formulates a property of a quantification method, the principle of equivalent partitioning. When used with Guttman's principle of internal consistency, the combination allows the analysis of correlational data in terms of the variate(s) chosen by the investigator. Applications to multiple-choice, rank-order, and paired comparison data…
Descriptors: Discriminant Analysis, Mathematical Models, Matrices, Multiple Choice Tests
Peer reviewed Peer reviewed
Skinner, C. J. – Psychometrika, 1986
The extension of regression estimation and poststratification to factor analysis is considered. These methods may be used either to improve the efficiency of estimation or to adjust for the effects of nonrandom selection. The estimation procedure may be formulated in a LISTREL framework. (Author/LMO)
Descriptors: Estimation (Mathematics), Factor Analysis, Mathematical Models, Matrices
Krumwiede, Robert William – 1999
This paper focuses on making specific connections between basic social and psychological needs of campus residents and the principles of architectural design that can be applied to the design and renovation of educational facilities. Various research was used to select six "principles of social ecology" that were cross-referenced with…
Descriptors: Educational Facilities Design, Higher Education, Matrices, Social Environment
DeMauro, Gerald E. – 2003
An analysis was made of the cognitive processes that support the judgments made in standard setting activities. These processes were conceived as having two components: forming the domain needed to pass the test and identifying the criterion level of performance to pass the test. In fact, these processes are interactive, and were separated for the…
Descriptors: Cognitive Processes, Judges, Matrices, Performance Based Assessment
Peer reviewed Peer reviewed
Spezeski, William J. – Mathematics Teacher, 1974
Descriptors: Algebra, Instruction, Mathematics Education, Matrices
Peer reviewed Peer reviewed
Lingoes, James C. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Algorithms, Computer Programs, Factor Analysis, Goodness of Fit
Peer reviewed Peer reviewed
Ross, Donald C. – Educational and Psychological Measurement, 1983
Theta is a statistic which measures the degree to which a designated pattern successfully partitions a matrix of pre- and post-treatment ratings into regions typical of each of two treatments. In this paper, theta is extended to multivariate and multigroup cases. (Author/BW)
Descriptors: Hypothesis Testing, Matrices, Multivariate Analysis, Research Methodology
Pages: 1  |  ...  |  48  |  49  |  50  |  51  |  52  |  53  |  54  |  55  |  56  |  ...  |  107