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Garcia-Garzon, Eduardo; Abad, Francisco J.; Garrido, Luis E. – Journal of Intelligence, 2019
There has been increased interest in assessing the quality and usefulness of short versions of the Raven's Progressive Matrices. A recent proposal, composed of the last twelve matrices of the Standard Progressive Matrices (SPM-LS), has been depicted as a valid measure of "g." Nonetheless, the results provided in the initial validation…
Descriptors: Intelligence Tests, Test Validity, Evaluation Methods, Undergraduate Students
Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items
Schneider, W. Joel – Journal of Psychoeducational Assessment, 2013
Researchers often argue that the structural models of the constructs they study are relevant to clinicians. Unfortunately, few clinicians are able to translate the mathematically precise relationships between latent constructs and observed scores into information that can be usefully applied to individuals. Typically this means that when a new…
Descriptors: Factor Analysis, Psychological Studies, Cognitive Ability, Test Reliability
Peer reviewedMeyer, Edward P. – Educational and Psychological Measurement, 1975
Bounds are obtained for a coefficient proposed by Kaiser as a measure of average correlation and the coefficient is given an interpretation in the context of reliability theory. It is suggested that the root-mean-square intercorrelation may be a more appropriate measure of degree of relationships among a group of variables. (Author)
Descriptors: Correlation, Matrices, Statistical Analysis, Test Reliability
Peer reviewedJoe, George W.; Woodward, J. Arthur – Multivariate Behavioral Research, 1975
Descriptors: Correlation, Matrices, Sampling, Statistical Analysis
Peer reviewedKaiser, Henry F.; Michael, William B. – Educational and Psychological Measurement, 1975
An alternative derivation of Tryon's basic formula for the coefficient of domain validity or the coefficient of generalizability developed by Cronbach, Rajaratnam, and Glaser is provided. This derivation, which is also the generalized Kuder-Richardson coefficient, requires a relatively minimal number of assumptions compared with that in previously…
Descriptors: Matrices, Sampling, Statistical Analysis, Test Reliability
Behm, Robert J.; Schill, William J.
A technique for assessing the agreement between the Q-sorts of two or more groups of subjects is presented which relies on the relationship between the Kendall coefficient of concordance (W) and the Spearman rank order correlation (rho). The proposed statistical treatment of Q-sort data involves the use of a number of intercorrelations rather than…
Descriptors: Correlation, Matrices, Q Methodology, Statistical Analysis
Peer reviewedNicewander, W. Alan – Psychometrika, 1975
Shows that the Harris factors of R have psychometric properties similar to those discussed by Kaiser and Caffrey (1965) and Bentler (1968). Specifically it is shown that the Harris factors of R maximize a lower-bound to the reliability of a composite measure derived by Guttman (1945). (Author/RC)
Descriptors: Correlation, Factor Analysis, Matrices, Prediction
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1979
A computer program which creates and stores a cumulative item covariance matrix upon each administration of an instrument is described. Use of this program would facilitate keeping a constant log on reliability in situations in which the test is administered to different groups over a period of time. (Author/JKS)
Descriptors: Analysis of Covariance, Computer Programs, Correlation, Item Analysis
Wang, Tianyou – 1996
In this paper, formulas for computing the weights that maximize the reliability of a test with multiple parts are derived using a congeneric model. A direct derivation for the three-part test and case and a two-step derivation for the n-part case are presented, and results for these two approaches are shown to be consistent for the three-part…
Descriptors: Computation, Equations (Mathematics), Matrices, Performance Based Assessment
Peer reviewedJoe, George W.; Woodward, J. Arthur – Psychometrika, 1976
This article is concerned with estimation of components of maximum generalizability in multifacet experimental designs involving multiple dependent measures. An example of a two-facet partially nested design is provided. (Author/RC)
Descriptors: Analysis of Variance, Correlation, Matrices, Reliability
Peer reviewedWhitely, Susan E.; Dawis, Rene V. – Journal of Educational Measurement, 1974
Descriptors: Error of Measurement, Item Analysis, Matrices, Measurement Techniques
Peer reviewedWerts, C. E.; And Others – Educational and Psychological Measurement, 1978
A procedure for estimating the reliability of a factorially complex composite is considered. An application of its use with Scholastic Aptitude Test data is provided. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Mathematical Models, Matrices
Peer reviewedConger, Anthony J. – Multivariate Behavioral Research, 1974
Two indices of profile reliability are shown to be equivalent in terms of the individual independent canonical composites; however, because of different weighting procedures, they yield different overall indices of profile reliability. A common formula is provided from which both indices can be derived. (Author)
Descriptors: Analysis of Variance, Correlation, Matrices, Measurement Techniques
Peer reviewedWerts, C. E.; And Others – Multivariate Behavioral Research, 1980
This paper demonstrates how the problem of calibrating measures can be formulated in terms of confirmatory factor analysis. The relationships between traditional approaches and a confirmatory factor approach are specified. (Author/CTM)
Descriptors: Achievement Tests, Equated Scores, Factor Analysis, Intermediate Grades

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