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Raju, Nambury S. – Psychometrika, 1977
Coefficient Alpha can be used to estimate the reliability of a test when the test is split into several parts. It is known that alpha can severly underestimate test reliability when the parts have an unequal number of items. A generalization of alpha is proposed to correct this defect. (Author/JKS)
Descriptors: Mathematical Models, Measurement, Test Reliability
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Feldt, Leonard S. – Psychometrika, 1975
In some situations where reliability must be estimated it is impossible to divide the measuring instrument into more than two separately scoreable parts. In such a case, neither Cronbach's coefficient alpha nor Kristof's three-part approach are satisfactory. A technique is developed for estimating reliability in such situations. (Author/BJG)
Descriptors: Achievement Tests, Mathematical Models, Test Reliability, Testing Problems
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Kristof, Walter – Psychometrika, 1974
Descriptors: Models, Statistical Analysis, Test Reliability, Testing
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Woodhouse, Brian; Jackson, Paul H. – Psychometrika, 1977
Finding and interpreting lower bounds for reliability coefficients for tests with non-homogeneous items has been a problem for psychometricians. A computer search procedure is developed for locating such a lower bound in a variety of settings. (Author/JKS)
Descriptors: Computer Programs, Mathematical Models, Measurement, Test Interpretation
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Schulman, Robert S.; Haden, Richard L. – Psychometrika, 1975
A model is proposed for the description of ordinal test scores based on the definition of true score as expected rank; its deviations are compared with results from classical test theory. An unbiased estimator of population true score from sample data is calculated. Score variance and population reliability are examined. (Author/BJG)
Descriptors: Career Development, Mathematical Models, Test Reliability, Test Theory
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Jackson, Paul H.; Agunwamba, Christian C. – Psychometrika, 1977
Finding and interpreting lower bounds for reliability coefficients for tests with nonhomogenous items has been a problem for psychometricians. This paper presents a mathematical formula for finding the greatest lower bound for such a coefficient. (Author/JKS)
Descriptors: Comparative Analysis, Mathematical Models, Measurement, Test Interpretation
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Lewis, Charles; And Others – Psychometrika, 1975
A Bayesian Model II approach to the estimation of proportions in m groups is extended to obtain posterior marginal distributions for the proportions. The approach is extended to allow greater use of prior information than previously and the specification of this prior information is discussed. (Author/RC)
Descriptors: Bayesian Statistics, Data Analysis, Individualized Instruction, Models
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Nishisato, Shizuhiko – Psychometrika, 1978
An alternative formulation for Guttman scaling is presented. The new formulation is described, and advantages over Guttman's formulation are detailed. The method is assumption-free and capable of multidimensional analysis. (Author/JKS)
Descriptors: Individual Differences, Mathematical Models, Measurement Techniques, Multidimensional Scaling
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Kraemer, Helena Chmura – Psychometrika, 1981
Limitations and extensions of Feldt's approach to testing the equality of Cronbach's alpha coefficients in independent and matched samples are discussed. In particular, this approach is used to test equality of intraclass correlation coefficients. (Author)
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Mathematical Models
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Andersen, Erling; Madsen, Mette – Psychometrika, 1977
Methods for estimating the mean and variance of latent ability parameters of a normally distributed population that has been tested with Rasch model-calibrated test items are discussed. Methods for checking the normality of the population are also included. (JKS)
Descriptors: Achievement Tests, Aptitude Tests, Latent Trait Theory, Mathematical Models
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Lord, Frederic M. – Psychometrika, 1971
A two-stage testing procedure, a routing test followed by one of several alternative second-stage tests, is studied in the situation where the purpose is measurement, not classification. Models are developed, examined, and compared with conventional tests and up-and-down procedures. (DG)
Descriptors: Guessing (Tests), Mathematical Models, Measurement Techniques, Scoring
Peer reviewed Peer reviewed
Wilcox, Rand R. – Psychometrika, 1979
The problem of determining an optimal passing score for a mastery test is discussed, when the purpose of the test is to predict success on an external criterion. For the case of constant losses for the two possible error types, a method for determining passing scores is derived. (Author/JKS)
Descriptors: Criterion Referenced Tests, Cutting Scores, Mastery Tests, Mathematical Models
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Hunter, John E.; Cohen, Stanley H. – Psychometrika, 1974
Descriptors: Attitude Change, Attitudes, Comparative Analysis, Models
Peer reviewed Peer reviewed
Schulman, Robert S. – Psychometrika, 1979
An alternative to the uniform probability distribution model for ordinal data is considered. Implications for statistics and for test theory are discussed. (JKS)
Descriptors: Career Development, Correlation, Mathematical Models, Nonparametric Statistics
Peer reviewed Peer reviewed
Knott, M.; Bartholomew, D. J. – Psychometrika, 1993
Scoring of response vectors to give maximum test-retest correlation is investigated. A general method is given for finding the best scores, deriving them for the normal factor model, and showing that for a standard model for binary response it is easy to approximate the best scores. (SLD)
Descriptors: Correlation, Equations (Mathematics), Factor Analysis, Mathematical Models
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