Publication Date
| In 2026 | 0 |
| Since 2025 | 53 |
| Since 2022 (last 5 years) | 411 |
| Since 2017 (last 10 years) | 914 |
| Since 2007 (last 20 years) | 1965 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 93 |
| Practitioners | 23 |
| Teachers | 22 |
| Policymakers | 10 |
| Administrators | 5 |
| Students | 4 |
| Counselors | 2 |
| Parents | 2 |
| Community | 1 |
Location
| United States | 47 |
| Germany | 42 |
| Australia | 34 |
| Canada | 27 |
| Turkey | 27 |
| California | 22 |
| United Kingdom (England) | 20 |
| Netherlands | 18 |
| China | 17 |
| New York | 15 |
| United Kingdom | 15 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Does not meet standards | 1 |
Peer reviewedSwank, Paul; Schmid, John – Journal of Experimental Education, 1978
McNemar's discussion of error reduction in a mixed two-group design fails to provide an algebraic presentation of this error reduction. This paper presents not only the algebraic development of the error term but shows that under certain conditions mixing may increase experimental error. (Author)
Descriptors: Error of Measurement, Experimental Groups, Matched Groups, Mathematical Formulas
King, Harry A. – Research Quarterly, 1978
Some statistical considerations in applying survey sampling methods to small populations are explored. (DS)
Descriptors: Error of Measurement, Program Development, Reliability, Sampling
Peer reviewedAddison, John T.; Blackburn, McKinley L. – Industrial and Labor Relations Review, 1997
Data from the Displaced Worker Surveys appear to show that those who got advance notice are more likely to avoid unemployment, but if unemployed, they tend to remain so longer. Analysis suggests a measurement error as the cause. Although notified workers have more time to conduct a job search, their predisplacement search is not necessarily…
Descriptors: Dislocated Workers, Error of Measurement, Job Search Methods, Unemployment
Peer reviewedFeldt, Leonard S. – Applied Measurement in Education, 2002
Considers the situation in which content or administrative considerations limit the way in which a test can be partitioned to estimate the internal consistency reliability of the total test score. Demonstrates that a single-valued estimate of the total score reliability is possible only if an assumption is made about the comparative size of the…
Descriptors: Error of Measurement, Reliability, Scores, Test Construction
Peer reviewedOgasawara, Haruhiko – Applied Psychological Measurement, 2002
Obtained asymptotic standard errors of item, test, and score information function estimates, and used numerical illustrations to show that the response function estimates are rather stable in spite of the unstable parameter estimates. However, information function estimates are shown to be relatively unstable. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Reliability
Peer reviewedLongford, Nicholas T. – Psychometrika, 1997
It is demonstrated that, in the presence of population information, a linear combination of true scores can be estimated more efficiently than by the same linear combination of the observed scores. Three criteria for optimality are discussed, but they yield the same solution, described as a multivariate shrinkage estimator. (Author/SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Multivariate Analysis, Population Distribution
Peer reviewedSlate, John R.; And Others – Journal of School Psychology, 1992
Analyzed 56 Wechsler Intelligence Scale for Children-Revised protocols completed by 1 certified and 8 licensed practitioners to examine administration and scoring mistakes. Observed numerous mistakes (failure to record examinee responses, assigning too few or too many points to answers, inappropriate questioning, and failure to obtain correct…
Descriptors: Error of Measurement, Error Patterns, Examiners, Intelligence Tests
Peer reviewedTisak, John – Multivariate Behavioral Research, 1994
The regression coefficients and the associated standard errors in hierarchical regression, when a theoretical basis for the analysis exists, are determined for four regression models. Each reflects different controlling or partialling of the variates. An illustration is presented using data from the Berkeley Growth Study. (SLD)
Descriptors: Comparative Analysis, Error of Measurement, Estimation (Mathematics), Predictor Variables
Peer reviewedViswesvaran, Chockalingam; Ones, Deniz S. – Educational and Psychological Measurement, 2000
Used meta-analysis to cumulate reliabilities of personality scale scores, using 848 coefficients of stability and 1,359 internal consistency reliabilities across the Big Five factors of personality. The dimension of personality being measured does not appear to moderate strongly either internal consistency or the test-retest reliabilities.…
Descriptors: Error of Measurement, Meta Analysis, Personality Assessment, Personality Traits
Peer reviewedLee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – Journal of Educational Measurement, 2000
Describes four procedures previously developed for estimating conditional standard errors of measurement for scale scores and compares them in a simulation study. All four procedures appear viable. Recommends that test users select a procedure based on various factors such as the type of scale score of concern, test characteristics, assumptions…
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Scaling
Peer reviewedAlfonso, Vincent C.; Johnson, Annemarie; Patinella, Lilia; Rader, Damon E. – Psychology in the Schools, 1998
Examined 60 Wechsler Intelligence Scale for Children-Third Education (WISC-III) protocols administered by graduate students in training to obtain preliminary data on the frequency and types of administration and scoring errors that examiners commit. The five most frequent errors included failure to query, failure to record response verbatim,…
Descriptors: Counselor Training, Error of Measurement, Examiners, Females
Peer reviewedZoski, Keith W.; Jurs, Stephen – Educational and Psychological Measurement, 1996
A linear regression approach to determining the number of factors in factor analytic solutions is presented. It provides objectivity while producing the same results as the visual scree test. Experience with the method to date indicates that the results are consistent with visual solutions. (SLD)
Descriptors: Error of Measurement, Factor Analysis, Factor Structure, Regression (Statistics)
Peer reviewedMacCallum, Robert C.; Widaman, Keith F.; Preacher, Kristopher J.; Hong, Sehee – Multivariate Behavioral Research, 2001
Examined the effects of sample size and other design features on correspondence between factors obtained from analysis of sample data and those present in the population from which the samples were drawn, examining these phenomena in the situation in which the common factor model does not hold exactly in the population. Tested a theoretical…
Descriptors: Error of Measurement, Factor Analysis, Goodness of Fit, Models
Peer reviewedRaphael, Steven – Industrial and Labor Relations Review, 2000
Using a sample of workers displaced by plant closings, a study attempted to reduce error bias in estimates of unions' effect on earnings. When estimations use the entire sample, longitudinal estimates are similar to those of cross-sectional regressions. When skill groups are estimated separately, unions have a positive effect for workers with low…
Descriptors: Dislocated Workers, Error of Measurement, Job Skills, Longitudinal Studies
Peer reviewedFeldt, Leonard S.; Qualls, Audrey L. – Applied Measurement in Education, 1999
Examined the stability of the standard error of measurement and the relationship between the reliability coefficient and the variance of both true scores and error scores for 170 school districts in a state. As expected, reliability coefficients varied as a function of group variability, but the variation in split-half coefficients from school to…
Descriptors: Elementary Secondary Education, Error of Measurement, Reliability, School Districts


