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Schnell, Rainer; Redlich, Sarah; Göritz, Anja S. – Field Methods, 2022
Frequency of behaviors or amounts of variables of interest are essential topics in many surveys. The use of heuristics might cause rounded answers, resulting in the increased occurrence of end-digits (called heaping or digit-preference). For web surveys (or CASI), we propose using a conditional prompt as input validation if digits indicating…
Descriptors: Online Surveys, Validity, Numbers, Computation
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Mozumdar, Arupendra; Liguori, Gary – Research Quarterly for Exercise and Sport, 2016
Purpose: Estimating obesity prevalence using self-reported height and weight is an economic and effective method and is often used in national surveys. However, self-reporting of height and weight can involve misreporting of those variables and has been found to be associated to the size of the individual. This study investigated the biases in…
Descriptors: Body Composition, Body Height, Obesity, Computation
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Sapp, Marty – Multicultural Learning and Teaching, 2012
Like many journals within education, for "Multicultural Learning and Teaching," this writer found little written on measurement, effect sizes, and confidence intervals; therefore, the purpose of this article is to address these factors. The effect of not addressing these issues is that a basic foundation of science cannot be established…
Descriptors: Multicultural Education, Educational Research, Scholarship, Reliability
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Dimitrov, Dimiter M. – Mid-Western Educational Researcher, 2010
The focus of this presidential address is on the contemporary treatment of reliability and validity in educational assessment. Highlights on reliability are provided under the classical true-score model using tools from latent trait modeling to clarify important assumptions and procedures for reliability estimation. In addition to reliability,…
Descriptors: Educational Assessment, Validity, Item Response Theory, Reliability
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Schmitt, T. A.; Sass, D. A.; Sullivan, J. R.; Walker, C. M. – International Journal of Testing, 2010
Imposed time limits on computer adaptive tests (CATs) can result in examinees having difficulty completing all items, thus compromising the validity and reliability of ability estimates. In this study, the effects of speededness were explored in a simulated CAT environment by varying examinee response patterns to end-of-test items. Expectedly,…
Descriptors: Monte Carlo Methods, Simulation, Computer Assisted Testing, Adaptive Testing
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Sullivan, Paul – Journal of Human Resources, 2009
This paper develops an empirical occupational choice model that corrects for misclassification in occupational choices and measurement error in occupation-specific work experience. The model is used to estimate the extent of measurement error in occupation data and quantify the bias that results from ignoring measurement error in occupation codes…
Descriptors: Computation, Models, Career Choice, Error Correction
Lipscomb, Stephen; Teh, Bing-ru; Gill, Brian; Chiang, Hanley; Owens, Antoniya – Mathematica Policy Research, Inc., 2010
This report summarizes research findings and implementation practices for teacher and principal value-added models (VAMs), as a first step in the Team Pennsylvania Foundation's (Team PA) pilot project to inform the development of a full, statewide model evaluation system. We have selected 21 studies that represent key issues and findings in the…
Descriptors: Pilot Projects, Outcomes of Education, Principals, Models
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Eaton, Karen M.; Messer, Stephen C.; Garvey Wilson, Abigail L.; Hoge, Charles W. – Suicide and Life-Threatening Behavior, 2006
The objectives of this study were to generate precise estimates of suicide rates in the military while controlling for factors contributing to rate variability such as demographic differences and classification bias, and to develop a simple methodology for the determination of statistically derived thresholds for detecting significant rate…
Descriptors: Suicide, Mortality Rate, Comparative Analysis, Validity
Haertel, Edward H. – National Assessment Governing Board, 2003
The paper initially describes the sources of uncertainty in National Assessment of Educational Progress (NAEP) data and standard errors. As NAEP sample sizes have increased, greater precision has been attained by the program. For this reason, exclusion effects are increasingly important. Two scenarios of revised NAEP results are presented (for New…
Descriptors: Error of Measurement, Computation, Disabilities, Limited English Speaking