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Spence, Ian – Psychometrika, 1972
Discusses the different strategies employed by three practical nonmetric multidimensional scaling algorithms using Monte Carlo techniques. (Author/RK)
Descriptors: Algorithms, Computer Programs, Error of Measurement, Evaluation Methods

Joreskog, K. G. – Psychometrika, 1971
Descriptors: Correlation, Factor Analysis, Goodness of Fit, Mathematical Models

Fischer, Gerhard H. – Psychometrika, 1989
The linear logistic model with relaxed assumption is extended to designs with any number of time points or with different sets of items presented on different occasions, provided that one unidimensional subscale is available per latent trait. A sample application is presented. (SLD)
Descriptors: Data Interpretation, Equations (Mathematics), Estimation (Mathematics), Item Response Theory

Sorbom, Dag – Psychometrika, 1989
A modification index is presented to aid in reformulating hypothetical models rejected after analysis of empirical data. This index is an improvement over the one in the LISREL V computer program in that it takes into account changes in all parameters of the model when one parameter is freed. (SLD)
Descriptors: Equations (Mathematics), Evaluation Methods, Factor Analysis, Hypothesis Testing

Raaijmakers, Jeroen G. W.; Pieters, Jo P. M. – Psychometrika, 1987
Functional and structural relationship alternatives to the standard "F"-test for analysis of covariance (ANCOVA) are discussed for cases when the covariate is measured with error. An approximate statistical test based on the functional relationship approach is preferred on the basis of Monte Carlo simulation results. (SLD)
Descriptors: Analysis of Covariance, Computer Simulation, Error of Measurement, Hypothesis Testing

Tucker, Ledyard R.; Lewis, Charles – Psychometrika, 1973
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed for analysis of factor solution. (Author/RK)
Descriptors: Analysis of Variance, Factor Analysis, Goodness of Fit, Item Sampling

Kristof, Walter – Psychometrika, 1971
Descriptors: Cognitive Measurement, Error of Measurement, Mathematical Models, Psychological Testing

Novick, Melvin R.; And Others – Psychometrika, 1971
Descriptors: Analysis of Variance, Bayesian Statistics, Error of Measurement, Mathematical Models

Mellenbergh, Gideon J. – Psychometrika, 1995
This volume, which grew out of a conference on differential item functioning (DIF), provides an introduction and background on DIF, a discussion of statistical methodology, practical questions and examples of empirical investigation, a discussion of ancillary issues, and some concluding remarks and suggestions about DIF. (SLD)
Descriptors: Culture Fair Tests, Identification, Item Bias, Item Response Theory

Mislevy, Robert J. – Psychometrika, 1994
Educational assessment concerns inference about student knowledge, skills, and accomplishments. Test theory has evolved in part to address questions of weight, coverage, and import of data. Resulting concepts and techniques can be viewed as applications of more general principles for inference in the presence of uncertainty. (SLD)
Descriptors: Bayesian Statistics, Cognitive Psychology, Educational Assessment, Inferences

Sherman, Charles R. – Psychometrika, 1972
Results provide a first step toward the establishment of guidelines for the experimenter who wishes to use nonmetric multidimensional scaling effectively, especially when an underlying configuration is hypothesized. (Author)
Descriptors: Analysis of Covariance, Analysis of Variance, Evaluation, Goodness of Fit

Bock, R. Darrell – Psychometrika, 1972
Descriptors: Ability Identification, Comparative Analysis, Item Analysis, Mathematical Models

Bechtel, Gordon G. – Psychometrika, 1971
A sensitive measurement model is developed that provides transactional scale values for individual members of a group, as well as an evaluation of pairwise interactions and balances that are emergent properties of the group itself. (Author/DG)
Descriptors: Analysis of Variance, Group Dynamics, Hypothesis Testing, Mathematical Models

Lord, Frederic M. – Psychometrika, 1974
Omitted items cannot properly be treated as wrong when estimating ability and item parameters. A convenient method for utilizing the information provided by omissions is presented. Theoretical and empirical justifications are presented for the estimates obtained by the new method. (Author)
Descriptors: Academic Ability, Guessing (Tests), Item Analysis, Latent Trait Theory