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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
Polson, Peter G.; Huizinga, David – Psychometrika, 1974
Descriptors: Algorithms, Computer Programs, Goodness of Fit, Learning Processes
Jensema, Carl; Urry, Vern W. – 1971
Procrustes rotation involves fitting a factor pattern matrix to a specified target matrix in factor analysis. These rotations are useful for the investigator who wishes to see how well his data can be made to fit a hypothesized factor pattern matrix. The mathematical problems involved in these transformations are outlined and computer algorithms…
Descriptors: Algorithms, Computer Programs, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Johnson, Richard M. – Psychometrika, 1973
A method of nonmetric multidimensional scaling is described which minimizes pairwise departures from monotonicity. (Author)
Descriptors: Algorithms, Calculus, Computer Programs, Data Analysis
Pennell, Roger – 1970
A model and a computer program for performing conjoint measurement is developed. (AG)
Descriptors: Algorithms, Analysis of Variance, Computer Programs, Goodness of Fit
Joreskog, Karl G. – 1970
A general method for estimating the unknown coefficients in a set of linear structural equations is described. In its most general form the method allows for both errors in equations (residuals, disturbances) and errors in variables (errors of measurement, observational errors) and yields estimates of the residual variance-covariance matrix and…
Descriptors: Algorithms, Analysis of Covariance, Analysis of Variance, Computer Programs