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Showing 1 to 15 of 94 results Save | Export
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Meyer, Lennart; And Others – Educational and Psychological Measurement, 1979
G analysis is a data analytic method based on the G index of agreement. A generalized technique for the rotation of factors in G analysis in which marker variables are brought into alignment with their adjoining reference axis is presented. (Author/JKS)
Descriptors: Correlation, Discriminant Analysis, Oblique Rotation, Research Design
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Carter, David S. – Educational and Psychological Measurement, 1979
There are a variety of formulas for reducing the positive bias which occurs in estimating R squared in multiple regression or correlation equations. Five different formulas are evaluated in a Monte Carlo study, and recommendations are made. (JKS)
Descriptors: Comparative Analysis, Correlation, Mathematical Formulas, Multiple Regression Analysis
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Zalinski, James; And Others – Educational and Psychological Measurement, 1979
A set of tables for determining tetrachoric correlations is presented. The coefficients have been determined to three-decimal accuracy. (JKS)
Descriptors: Correlation, Expectancy Tables, Nonparametric Statistics, Tables (Data)
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Educational and Psychological Measurement, 1979
Factor scale scores are sometimes used as weights to create composite variables representing the variables included in a factor analysis. If these composite variables are then used to predict some dependent variable, serious theoretical and methodological problems arise. This paper explores these problems and suggests strategies for circumventing…
Descriptors: Factor Analysis, Multiple Regression Analysis, Predictor Variables, Research Design
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Hsu, Louis – Educational and Psychological Measurement, 1979
This paper describes an exact small sample test, and provides a table of critical values for an approximate large sample test, to determine if a sample of Likert-Type ratings indicates significant agreement or disagreement in a population of such ratings. (Author)
Descriptors: Expectancy Tables, Hypothesis Testing, Nonparametric Statistics, Rating Scales
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Hofmann, Richard J. – Educational and Psychological Measurement, 1979
The Guttman scale is discussed from the viewpoint of errors in response patterns. The errors are assumed to be distributed as a binomial. A double-barreled significance test is suggested having two probabilities: high probability and low probability. (Author)
Descriptors: Error Patterns, Hypothesis Testing, Probability, Psychometrics
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Skakun, Ernest N.; And Others – Educational and Psychological Measurement, 1979
Factor analysis was used to determine whether computerized patient management problems had the same factor structure as multiple choice examinations and rating scales. It was determined that the factor structure was similar to the examinations but not the rating scale. (JKS)
Descriptors: Comparative Testing, Computer Assisted Testing, Computer Programs, Factor Structure
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Wilcox, Rand R. – Educational and Psychological Measurement, 1979
Wilcox has described three probability models which characterize a single test item in terms of a population of examinees (ED 156 718). This note indicates indicates that similar models can be derived which characterize a single examinee in terms of an item domain. A numerical illustration is given. (Author/JKS)
Descriptors: Achievement Tests, Item Analysis, Mathematical Models, Probability
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Huynh, Huynh; Perney, Jan – Educational and Psychological Measurement, 1979
A procedure is described for the determination of individual mastery scores when instructional units are sequenced in a linear hierarchy. It can be used when data for the entire sequence have been obtained. The process entails working backwards, from the final test to the first. (Author/JKS)
Descriptors: Criterion Referenced Tests, Cutting Scores, Mastery Learning, Mastery Tests
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Tideman, T. Nicolaus – Educational and Psychological Measurement, 1979
A statistical test for analysis of repeated measures is presented. It is shown that an appropriate chi-square statistic can be computed for related measures by taking account of the covariance among trials in computing a variance for the chi square statistic. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
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Douglass, Frazier M., IV; And Others – Educational and Psychological Measurement, 1979
Classical item analysis and Rasch latent trait analysis were applied to the responses of a sample of undergraduates to two measures concerning alcoholism. Little difference in terms of practical considerations was found between the methods. (JKS)
Descriptors: Alcoholism, Comparative Analysis, Drinking, Higher Education
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Read, Robert R. – Educational and Psychological Measurement, 1979
Students' perception of overall teaching performance is strongly aligned with feelings about the course. A method is presented for separating the effects of the teacher, the course, and individual student groups. All three effects are highly significant; the effect of the course is by far the most prominent. (Author/JKS)
Descriptors: Analysis of Variance, Course Evaluation, Discriminant Analysis, Item Analysis
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Dillon, Ronna F. – Educational and Psychological Measurement, 1979
The Raven Coloured Progressive Matrices and a Piagetian battery were administered to a sample of hearing-impaired elementary school children under six different conditions. Results indicated that scores varied as a function of the degree and type of feedback or elaboration. (JKS)
Descriptors: Cognitive Measurement, Developmental Stages, Educational Testing, Elementary Education
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Douglass, Jacqueline A. – Educational and Psychological Measurement, 1979
The validity of two subjective approaches to judging in synchronized swimming were examined through a multitrait-multimethod matrix. Results indicated that judging panels tended not to differentiate between execution and content scores. (Author/JKS)
Descriptors: Behavior Rating Scales, Court Judges, Evaluation Criteria, Evaluation Methods
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Benson, Jeri; Crocker, Linda – Educational and Psychological Measurement, 1979
As achievement in basic reading declines, the content validity of tests in special subjects may be reduced because examinees cannot read the test items. This study found that reading ability and item format affected test scores in the area of health science for a sample of high school students. (Author/JKS)
Descriptors: Achievement Tests, Failure, Health Education, Objective Tests
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