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Singer, Judith, D. – Journal of Experimental Education, 1987
A two-stage generalized least squares model is developed for estimating the linear regression of an individual outcome on a group characteristic in studies of multilevel data. Results of this model are compared to the results of analytic methods, and formulas are developed for assessing the accuracy of the traditional approaches. (Author/JAZ)
Descriptors: Error of Measurement, Least Squares Statistics, Mathematical Models, Regression (Statistics)
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Borich, Gary; Klinzing, Garhard – Journal of Classroom Interaction, 1984
Problems in studying teacher effectiveness through the use of classroom observation are discussed. Four assumptions in the observation of classroom process are offered and ways in which these assumptions can be dealt with in designing an observation study are suggested. (DF)
Descriptors: Classroom Observation Techniques, Error of Measurement, Experimenter Characteristics, Interrater Reliability
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Glutting, Joseph J.; And Others – Educational and Psychological Measurement, 1987
This paper discusses the basic theory underlying confidence limits and presents reasons why psychologists should incorporate confidence ranges in their psychodiagnostic reports. Four methods for establishing confidence limits are compared. Three of the methods involve estimated true scores, and the fourth is the standard error of measurement…
Descriptors: Error of Measurement, Mathematical Formulas, Psychological Evaluation, Scores
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McPhee, Robert D.; Babrow, Austin – Communication Monographs, 1987
Presents a table of cases requiring causal modeling or an equivalent technique. Reviews nine years of published research in communication journals to assess the adequacy of analysis in these situations. Offers standards for the conduct and reporting of causal modeling along with a review of their use in published causal modeling. (NKA)
Descriptors: Communication Research, Error of Measurement, Models, Research Methodology
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Rindskopf, David; Rose, Tedd – Multivariate Behavioral Research, 1988
Confirmatory factor analysis was applied to test second- and higher-order factor models in the areas of structure of abilities, allometry, and the separation of specific and error variance estimates. The estimation of validity and reliability, second-order models within factor analysis models, and the concept of discriminability were also studied.…
Descriptors: Discriminant Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
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Reddon, John R.; And Others – Journal of Educational Statistics, 1985
Computer sampling from a multivariate normal spherical population was used to evaluate the type one error rates for a test of sphericity based on the distribution of the determinant of the sample correlation matrix. (Author/LMO)
Descriptors: Computer Simulation, Correlation, Error of Measurement, Matrices
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Jarjoura, David – Psychometrika, 1983
The problem of predicting universe scores for samples of examinees based on their responses to samples of items is treated. The measurement model categorizes items according to the cells of a table of test specifications, and the linear function derived for minimizing error variance in prediction uses responses to these categories. (Author/JKS)
Descriptors: Error of Measurement, Generalizability Theory, Item Sampling, Prediction
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Miner, John B.; And Others – Journal of Vocational Behavior, 1985
Presents data indicating substantial differences in scoring the Miner Sentence Completion Scales used in the Bartol et al. study between the original scorers and both Miner and Ebrahimi. Analyses indicate that the Bartol et al. results are a consequence of scoring errors often found among less experienced scorers. (Author/BH)
Descriptors: Business Administration Education, College Students, Error of Measurement, Higher Education
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Kane, Michael T. – Journal of Educational Measurement, 1986
These analyses suggest that if a criterion-referenced test had a reliability (defined in terms of internal consistency) below 0.5, a simple a priori procedure would provide better estimates of students' universe scores than would individual observed scores. (Author/LMO)
Descriptors: Criterion Referenced Tests, Educational Research, Error of Measurement, Generalizability Theory
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Moran, James D., III – Home Economics Research Journal, 1986
Describes the appropriate control of experiment-wise error rates and the researcher's role in making decisions to control for Type 1 errors. Issues related to level of significance, one- versus two-tailed tests, and the use of multivariate statistics are included. (Author/CT)
Descriptors: Decision Making, Error of Measurement, Multivariate Analysis, Research Methodology
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Thomson, Elizabeth; Williams, Richard – Journal of Marriage and the Family, 1984
Examined the potential effects of correlated measurement errors among responses of wives and their husbands (N=349) on the utility of and expectations for another child. There was no change in the previous finding that wife's and husband's child utility had equal effects on expectations for another child. (JAC)
Descriptors: Children, Congruence (Psychology), Error of Measurement, Expectation
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Shoemaker, David M. – Educational and Psychological Measurement, 1972
Descriptors: Difficulty Level, Error of Measurement, Item Sampling, Simulation
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Cureton, Edward E. – Educational and Psychological Measurement, 1971
A rebuttal of Frary's 1969 article in Educational and Psychological Measurement. (MS)
Descriptors: Error of Measurement, Guessing (Tests), Multiple Choice Tests, Scoring Formulas
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Forsyth, Robert A. – Educational and Psychological Measurement, 1971
Descriptors: Behavioral Science Research, Correlation, Error of Measurement, Hypothesis Testing
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Tatsuoka, Kikumi, K.; Tatsuoka, Maurice M. – Journal of Educational Statistics, 1982
Two indices for measuring the degree of conformity or consistency of an individual examinee's response pattern on a set of items are developed. The use of the indices for spotting aberrant response patterns of examinees is detailed. (Author/JKS)
Descriptors: Error of Measurement, Error Patterns, Goodness of Fit, Item Analysis
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