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Peer reviewedGao, Xiaohong; And Others – Applied Measurement in Education, 1994
This study provides empirical evidence about the sampling variability and generalizability (reliability) of a statewide performance assessment for grade six. Results for 600 students at individual and school levels indicate that task-sampling variability was the major source of measurement error. Rater-sampling variability was negligible. (SLD)
Descriptors: Achievement Tests, Educational Assessment, Elementary School Students, Error of Measurement
Peer reviewedWoehr, David J.; And Others – Educational and Psychological Measurement, 1991
Methods for setting cutoff scores based on criterion performance, normative comparison, and absolute judgment were compared for scores on a multiple-choice psychology examination for 121 undergraduates and 251 undergraduates as a comparison group. All methods fell within the standard error of measurement. Implications of differences for decision…
Descriptors: Comparative Analysis, Concurrent Validity, Content Validity, Cutting Scores
Peer reviewedPike, Gary R. – Research in Higher Education, 1991
Analysis of data on freshman-to-senior developmental gains in 722 University of Tennessee-Knoxville students provides evidence of the advantages of structural equation modeling with latent variables and suggests that the group differences identified by traditional analysis of variance and covariance techniques may be an artifact of measurement…
Descriptors: Case Studies, College Freshmen, College Seniors, Error of Measurement
Peer reviewedKim, Jwa K.; Nicewander, W. Alan – Psychometrika, 1993
Bias, standard error, and reliability of five ability estimators were evaluated using Monte Carlo estimates of the unknown conditional means and variances of the estimators. Results indicate that estimates based on Bayesian modal, expected a posteriori, and weighted likelihood estimators were reasonably unbiased with relatively small standard…
Descriptors: Ability, Bayesian Statistics, Equations (Mathematics), Error of Measurement
Cicchetti, Domenic V.; Kaufman, Alan S.; Sparrow, Sara S. – Psychology in the Schools, 2004
Our purpose in this report is to evaluate scientifically that body of literature relating the effects of prenatal and postnatal exposure to polychlorinated biphenyls (PCBs) upon neurobehavioral, health-related, and cognitive deficits in neonates, developing infants, children, and adults. The data derive from seven cohorts: six cohorts of mothers…
Descriptors: Neonates, Validity, Psychomotor Skills, Prenatal Influences
Lei, Pui-Wa; Koehly, Laura M. – Journal of Experimental Education, 2003
Classification studies are important for practitioners who need to identify individuals for specialized treatment or intervention. When interventions are irreversible or misclassifications are costly, information about the proficiency of different classification procedures becomes invaluable. This study furnishes information about the relative…
Descriptors: Monte Carlo Methods, Classification, Discriminant Analysis, Regression (Statistics)
Research and Training Center on Family Support and Children's Mental Health, 2006
"Data Trends" reports present summaries of research on mental health services for children and adolescents and their families. The article summarized in this "Data Trends" examines the equivalence of the BPI [Behavior Problem Index] across a sample of African American, Hispanic, and non-Hispanic White children drawn from the…
Descriptors: Measurement Techniques, Child Health, Ethnic Groups, Error of Measurement
Park, Joo Ho; Rojewski, Jay W. – Career and Technical Education Research, 2006
Multiple-group confirmatory factor analysis was used to investigate factorial invariance between vocational and academic teacher groups on a measure of the learning organization concept. Participants were 488 full-time teachers of public trade industry-technical and business schools located within Seoul, South Korea. Statistically significant…
Descriptors: Foreign Countries, Vocational High Schools, Factor Analysis, Factor Structure
Salvucci, Sameena; And Others – 1995
This technical report provides the results of a study on the calculation and use of generalized variance functions (GVFs) and design effects for the 1990-91 Schools and Staffing Survey (SASS). The SASS is a periodic integrated system of sample surveys conducted by the National Center for Education Statistics (NCES) that produces sampling variances…
Descriptors: Administrators, Computation, Elementary Secondary Education, Error of Measurement
Henke, Robin R.; And Others – 1996
The National Center for Education Statistics recently released results of the 1993-94 Schools and Staffing Survey (SASS). SASS, an integrated survey of public and private schools, school districts, principals, and teachers, is the most comprehensive survey of the school work force and teacher supply and demand ever conducted in the United States.…
Descriptors: Data Collection, Elementary Secondary Education, Enrollment, Error of Measurement
Rudner, Lawrence M. – 1992
Several common sources of error in assessment that depends on the use of judges are identified, and ways to reduce the impact of rating errors are examined. Numerous threats to the validity of scores based on ratings exist. These threats include: (1) the halo effect; (2) stereotyping; (3) perception differences; (4) leniency/stringency error; and…
Descriptors: Alternative Assessment, Error of Measurement, Evaluation Methods, Evaluators
Linn, Robert L. – 1994
The New Standards Project conducted a pilot test of a series of performance-based assessment tasks in mathematics and English language arts at Grades 4 and 8 in the spring of 1993. This paper reports the results of a series of generalizability analyses conducted for a subset of the 1993 pilot study data in mathematics. Generalizability analyses…
Descriptors: Decision Making, Educational Assessment, Elementary Education, Elementary School Students
Thompson, Bruce – 1994
The present paper suggests that multivariate methods ought to be used more frequently in behavioral research and explores the potential consequences of failing to use multivariate methods when these methods are appropriate. The paper explores in detail two reasons why multivariate methods are usually vital. The first is that they limit the…
Descriptors: Analysis of Covariance, Behavioral Science Research, Causal Models, Correlation
Terenzini, Patrick T. – 1986
Unobtrusive measures are recommended as a means of assessing educational outcomes of colleges. Such measures can counteract the response bias which is common in questionnaires and interviews. Outcomes researchers are, in fact, asked to supplement standard measures with unobtrusive measures. Interesting data may result from observation of students'…
Descriptors: Colleges, Cost Effectiveness, Educational Assessment, Error of Measurement
Westfall, Philip Jean-Louis; D'Costa, Ayres G. – 1987
This study, based on the Rasch model, used R. M. Smith's (1986) classification of measurement disturbances to assess the Rasch model approach to error control and statistical prediction. Partitioning the error component into a person component, an item-person interaction component, and a random unexplained error component has the net effect of…
Descriptors: Classification, College Entrance Examinations, Error of Measurement, French

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