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Raykov, Tenko; du Toit, Stephen H. C. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A method for estimation of reliability for multiple-component measuring instruments with clustered data is outlined. The approach is applicable with hierarchical designs where individuals are nested within higher order units and exhibit possibly related performance on components of a scale of interest. The procedure is developed within the…
Descriptors: Structural Equation Models, Computation, Measurement Techniques, Test Reliability
Dawson, Thomas E. – 1997
The basic processes in univariate statistics involve partitioning the sum of squares into two components: explained and within. This paper explains that the same partitioning occurs in measurement analyses, i.e., splitting the sum of squares into reliable and unreliable components. In addition, it is shown how the three types of error inherent in…
Descriptors: Estimation (Mathematics), Measurement Techniques, Scores, Statistical Analysis
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Lord, Frederic M. – Journal of Educational Measurement, 1974
When comparing two tests that measure the same trait, separate comparisons should be made at different levels of the trait. A simple, practical, approximate formula is given for doing this. The adequacy of the approximation is illustrated using data comparing seven nationally known sixth-grade reading tests. (Author/RC)
Descriptors: Ability Identification, Comparative Analysis, Reading Tests, Statistical Analysis
Nitko, Anthony J. – 1982
An approximation formula for the standard error of measurement was recently proposed by Garvin. The properties of this approximation to the standard error of measurement are described in this paper and illustrated with hypothetical data. It is concluded that the approximation is a systematic overestimate of the standard error of measurement…
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Formulas, Statistical Analysis
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CURTIS, H.A.; KROPP, R.P. – 1961
A STUDY WAS CONDUCTED TO DETERMINE CHANGES IN SCORE CHARACTERISTICS RELATED TO VARIOUS CONDITIONS OF SPEEDEDNESS WHEN A TEST IS PRESENTED VISUALLY BY PROJECTING ONE ITEM AT A TIME. THIS METHOD OF STUDY IS POTENTIALLY USEFUL FOR PRESENTING TEST MATERIALS BY TELEVISION. THE TOTAL SCORE AND PART SCORE DATA REVEALED HIGH RELATIONSHIPS BETWEEN THE…
Descriptors: Instructional Innovation, Projection Equipment, Statistical Analysis, Test Reliability
Test Service Bulletin, 1952
Some aspects of test reliability are discussed. Topics covered are: (1) how high should a reliability coefficient be?; (2) two factors affecting the interpretation of reliability coefficients--range of talent and interval between testings; (3) some common misconceptions--reliability of speed tests, part vs. total reliability, reliability for what…
Descriptors: Bulletins, Correlation, Scores, Statistical Analysis
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Brennan, Robert L. – Educational and Psychological Measurement, 1975
Variance components from split-plot factorial design (SPF) were used to estimate reliability for schools and persons within schools. Reliability for persons within SPF and randomized block design (RB) schools were compared and reliability for SPF and RB design schools were compared. (Author/BJG)
Descriptors: Analysis of Variance, Evaluation Methods, Schools, Statistical Analysis
Stamm, Carol L. – Journal of Physical Education and Recreation, 1976
Use of the coefficient of concordance is explained to be a simple technique for estimating reliability in small scale situation and is advocated as a valuable method for physical educators. (GW)
Descriptors: Measurement Techniques, Nonparametric Statistics, Physical Education, Statistical Analysis
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Pielstick, N. L.; Thorndike, Robert M. – Psychology in the Schools, 1976
Reanalysis of Wakefield and Carlson's data confirmed canonical correlations of .84 and .69, but analysis of redundancies revealed that only 34 percent of the total WISC subtest variance is redundant with the ITPA and 39 percent of the ITPA subtest variance is redundant with the WISC. (Author)
Descriptors: Comparative Testing, Intelligence Tests, Statistical Analysis, Test Reliability
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Zimmerman, Donald W. – Educational and Psychological Measurement, 1972
Although a great deal of attention has been devoted over a period of years to the estimation of reliability from item statistics, there are still gaps in the mathematical derivation of the Kuder-Richardson results. The main purpose of this paper is to fill some of these gaps, using language consistent with modern probability theory. (Author)
Descriptors: Mathematical Applications, Probability, Scoring Formulas, Statistical Analysis
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Cureton, Edward E.; And Others – Educational and Psychological Measurement, 1973
Study based on F. M. Lord's arguments in 1957 and 1959 that tests of the same length do have the same standard error of measurement. (CB)
Descriptors: Error of Measurement, Statistical Analysis, Test Interpretation, Test Length
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Yens, David P. – Journal of Educational Research, 1971
Descriptors: Case Studies, Evaluation Methods, Statistical Analysis, Test Reliability
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Pack, Elbert C. – Mathematics Teacher, 1971
This article shows that student grades based on the difference on scores from one test to another are statistically unreliable and unfair to the better students. (MM)
Descriptors: Correlation, Evaluation, Grades (Scholastic), Statistical Analysis
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Callender, John C.; Osburn, H. G. – Journal of Educational Measurement, 1979
Some procedures for estimating internal consistency reliability may be superior mathematically to the more commonly used methods such as Coefficient Alpha. One problem is computational difficulty; the other is the possibility of overestimation due to capitalization on chance. (Author/CTM)
Descriptors: Higher Education, Mathematical Formulas, Research Problems, Sampling
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Vestewig, Richard E. – Social Behavior and Personality, 1978
Item endorsement rates and reliability of the Smith Quick Measure of Achievement Motivation were studied. Concluded that the scale may have too little variance to discriminate college students on achievement motivation and that, for students, one item may be inappropriately keyed. (Author)
Descriptors: Achievement, Analysis of Variance, College Students, Motivation
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