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Showing 2,581 to 2,595 of 3,295 results Save | Export
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Huynh, Huynh – Journal of Educational Statistics, 1986
Under the assumptions of classical measurement theory and the condition of normality, a formula is derived for the reliability of composite scores. The formula represents an extension of the Spearman-Brown formula to the case of truncated data. (Author/JAZ)
Descriptors: Computer Simulation, Error of Measurement, Expectancy Tables, Scoring Formulas
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Sawyer, Richard – Journal of Educational Measurement, 1986
This study was designed to determine whether adjustments for the differential prediction observed among sex, racial/ethnic, or age subgroups in one freshman class at a college could be used to improve prediction accuracy for these subgroups in future freshman classes. (Author/LMO)
Descriptors: College Freshmen, Error of Measurement, Grade Prediction, Higher Education
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Feldt, Leonard S. – Educational and Psychological Measurement, 1984
The binomial error model includes form-to-form difficulty differences as error variance and leads to Ruder-Richardson formula 21 as an estimate of reliability. If the form-to-form component is removed from the estimate of error variance, the binomial model leads to KR 20 as the reliability estimate. (Author/BW)
Descriptors: Achievement Tests, Difficulty Level, Error of Measurement, Mathematical Formulas
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Lord, Frederic M. – Psychometrika, 1985
Given a loss function, an asymptotic method for optimal test design for a specified target population of examinees is presented. Also, of more practical use, given an existing unidimensional test and target population, a way is presented to find the loss function for which the test is optimal. (NSF)
Descriptors: Error of Measurement, Higher Education, Item Sampling, Latent Trait Theory
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Axelson, Julein M. – Journal of Nutrition Education, 1984
Used data from nutrient intake recall divided according to body weight to demonstrate how variance in measurement may lead to incorrect conclusions in evaluation of nutrition education. Demonstrates need for incorporating methods of minimizing effects of measurement error, advocating random assignment to groups or statistical control if random…
Descriptors: Body Weight, Data Analysis, Error of Measurement, High Schools
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Williams, Richard H.; And Others – Journal of Experimental Education, 1984
This paper describes the procedures and results of two studies designed to yield empirical comparisons of the error magnitude in three change measures: the simple gain score, the residualized difference score, and the base free measure (Tucker et al). Residualized scores possessed smaller standard errors of measurement. (Author/BS)
Descriptors: Achievement Gains, Achievement Tests, Algebra, Error of Measurement
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Lord, Frederic M. – Psychometrika, 1983
Given known item parameters for a test, unbiased estimators are derived for an examinee's ability parameter, his or her proportion correct true score for the variances of these parameters and for the parallel forms reliability of the maximum likelihood estimator of the ability parameter. (Author/JKS)
Descriptors: Error of Measurement, Estimation (Mathematics), Item Analysis, Latent Trait Theory
Brick, Mike; Kim, Kwang; Nolin, Mary Jo; Collins, Mary – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics (NCES) designed to address a wide range of education-related issues. It is a telephone survey of the noninstitutionalized civilian population. In 1995, the NHES included a survey of adult education (AE). This report deals with…
Descriptors: Adult Education, Data Collection, Error of Measurement, Interviews
Johnson, Stephen; Dulaney, Chuck; Banks, Karen – 2000
No test, however well designed, can measure a student's true achievement because numerous factors interfere with the ability to measure achievement. These factors are sources of measurement error, and the goal in creating tests is to have as little measurement error as possible. Error can result from the test design, factors related to individual…
Descriptors: Academic Achievement, Elementary Education, Error of Measurement, Measurement Techniques
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Loo, Robert – Perceptual and Motor Skills, 1983
In examining considerations in determining sample sizes for factor analyses, attention was given to the effects of outliers; the standard error of correlations, and their effect on factor structure; sample heterogeneity; and the misuse of rules of thumb for sample sizes. (Author)
Descriptors: Correlation, Error of Measurement, Evaluation Methods, Factor Analysis
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Ryan, Joseph J.; And Others – Journal of Consulting and Clinical Psychology, 1983
Wechsler Adult Intelligence Scale-Revised protocols from two vocational counseling clients were scored by 19 psychologists and 20 graduate students. Regardless of scorer's experience level, mechanical scoring error produced summary scores varying by as much as 4 to 18 IQ points. (Author/RC)
Descriptors: Error of Measurement, Graduate Students, Higher Education, Intelligence Tests
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Bagozzi, Richard P.; Phillips, Lynn W. – Administrative Science Quarterly, 1982
Tests the "holistic construal" method of validating constructs and testing organizational hypotheses, using examples from organizational theory and data on wholesale distribution companies. Holistic construal is meant to explicitly represent theoretical and empirical concepts, nonobservational hypotheses, and correspondence rules and…
Descriptors: Charts, Error of Measurement, Holistic Approach, Hypothesis Testing
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Hagglund, Gosta – Psychometrika, 1982
Three alternative estimation procedures for factor analysis based on the instrumental variables method are presented. Least squares estimation procedures are compared to maximum likelihood procedures. The conclusion, based on the data used in this study, is that two of the procedures seem to work well. (Author/JKS)
Descriptors: Data Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
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Bartz, Albert E.; Wenstrom, Lisa – Teaching of Psychology, 1981
The purpose of this survey was to identify the statistics texts most frequently used by psychology departments and to see if a typical survey of textbooks used by a partial sample of psychology departments would be accurate in describing the entire sample of departments. Partial returns resulted in a meaningful error. (RM)
Descriptors: Error of Measurement, Evaluation, Higher Education, Psychology
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Lyon, A. J. – Physics Education, 1980
Discusses rapid, approximate methods for the calculation of errors estimates and other statistical results without using the computer. (SK)
Descriptors: College Science, Error of Measurement, Higher Education, Physics
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