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Showing all 12 results Save | Export
Davison, Mark L.; Biancarosa, Gina; Carlson, Sarah E.; Seipel, Ben; Liu, Bowen – Assessment for Effective Intervention, 2018
The computer-administered Multiple-Choice Online Causal Comprehension Assessment (MOCCA) for Grades 3 to 5 has an innovative, 40-item multiple-choice structure in which each distractor corresponds to a comprehension process upon which poor comprehenders have been shown to rely. This structure requires revised thinking about measurement issues…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Pilot Projects, Measurement
Davison, Mark L.; Biancarosa, Gina; Carlson, Sarah E.; Seipel, Ben; Liu, Bowen – Grantee Submission, 2018
The computer-administered Multiple-Choice Online Causal Comprehension Assessment (MOCCA) for Grades 3 to 5 has an innovative, 40-item multiple-choice structure in which each distractor corresponds to a comprehension process upon which poor comprehenders have been shown to rely. This structure requires revised thinking about measurement issues…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Pilot Projects, Measurement
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Mrazik, Martin; Janzen, Troy M.; Dombrowski, Stefan C.; Barford, Sean W.; Krawchuk, Lindsey L. – Canadian Journal of School Psychology, 2012
A total of 19 graduate students enrolled in a graduate course conducted 6 consecutive administrations of the Wechsler Intelligence Scale for Children, 4th edition (WISC-IV, Canadian version). Test protocols were examined to obtain data describing the frequency of examiner errors, including administration and scoring errors. Results identified 511…
Descriptors: Intelligence Tests, Intelligence, Statistical Analysis, Scoring
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Krishnamoorthy, K.; Xia, Yanping – Multivariate Behavioral Research, 2006
The conventional approach for testing the equality of two normal mean vectors is to test first the equality of covariance matrices, and if the equality assumption is tenable, then use the two-sample Hotelling T[superscript 2] test. Otherwise one can use one of the approximate tests for the multivariate Behrens-Fisher problem. In this article, we…
Descriptors: Statistical Analysis, Test Reliability, Test Selection, Error Patterns
Shoemaker, David M. – 1972
Described and listed herein with concomitant sample input and output is the Fortran IV program which estimates parameters and standard errors of estimate per parameters for parameters estimated through multiple matrix sampling. The specific program is an improved and expanded version of an earlier version. (Author/BJG)
Descriptors: Computer Oriented Programs, Computer Programs, Error of Measurement, Error Patterns
St. Pierre, Robert G. – Evaluation Quarterly, 1978
Data from the national evaluation of Project Follow Through were analyzed using analysis of covariance with and without correcting the pretest for unreliability. Such corrections led to some changes in conclusions. There are many disagreements in the literature about the appropriateness of correction for unreliability. (Author/CTM)
Descriptors: Analysis of Covariance, Data Analysis, Error Patterns, Pretests Posttests
Peer reviewed Peer reviewed
Werts, C. E.; And Others – Educational and Psychological Measurement, 1976
A procedure is presented for the analysis of rating data with correlated intrajudge and uncorrelated interjudge measurement errors. Correlations between true scores on different rating dimensions, reliabilities for each judge on each dimension and correlations between intrajudge errors can be estimated given a minimum of three raters and two…
Descriptors: Correlation, Data Analysis, Error of Measurement, Error Patterns
Brennan, Robert L.; Kane, Michael F. – 1975
When classes are the units of analyses, estimates of the reliability of class means are needed. Using classical test theory it is difficult to treat this problem adequately. Generalizability theory, however, provides a natural framework for dealing with the problem. Each of four possible formulas for the generalizability of class means is derived…
Descriptors: Analysis of Variance, Classes (Groups of Students), Correlation, Error Patterns
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Lix, Lisa M.; Algina, James; Keselman, H. J. – Multivariate Behavioral Research, 2003
The approximate degrees of freedom Welch-James (WJ) and Brown-Forsythe (BF) procedures for testing within-subjects effects in multivariate groups by trials repeated measures designs were investigated under departures from covariance homogeneity and normality. Empirical Type I error and power rates were obtained for least-squares estimators and…
Descriptors: Interaction, Freedom, Sample Size, Multivariate Analysis
Gillmore, Gerald M.; And Others – 1976
Generalizability theory is described and applied to data collection methods for student ratings of instruction. Three generalizability coefficients (generalizing over both students and items, generalizing over students only, and generalizing over items only) are defined, and the appropriateness of each for various purposes is discussed.…
Descriptors: Analysis of Variance, College Faculty, College Students, Course Evaluation
Culhane, P. T.; And Others – Univ. of Essex Language Centre Occasional Papers, 1970
This collection of papers assesses the validity of the MLAT. It is not self-evident that a test designed for English speaking university students in America and validated there is necessarily valid in an English university. The differences between American English and British English are evident, and American universities admit a greater…
Descriptors: Aptitude, Aptitude Tests, Error Patterns, Language Ability
Jackson, Kenneth L.; Whitman, Randal L. – 1971
This study tests three aspects of the problem of validity of contrastive analysis as a means for predicting errors or problems for second language learners: the constancy of foreign-language errors, the objectivity of the methods and procedures of contrastive analysis, and the capacity of contrastive analysis to make accurate predictions. Japanese…
Descriptors: Applied Linguistics, Cloze Procedure, Comparative Analysis, Contrastive Linguistics