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Raudenbush, Stephen W.; Sadoff, Sally – Journal of Research on Educational Effectiveness, 2008
A dramatic shift in research priorities has recently produced a large number of ambitious randomized trials in K-12 education. In most cases, the aim is to improve student academic learning by improving classroom instruction. Embedded in these studies are theories about how the quality of classroom must improve if these interventions are to…
Descriptors: Elementary Secondary Education, Error of Measurement, Statistical Inference, Program Evaluation
Girard, Todd A.; Christensen, Bruce K. – Psychological Assessment, 2008
The correlation between a short-form (SF) test and its full-scale (FS) counterpart is a mainstay in the evaluation of SF validity. However, in correcting for overlapping error variance in this measure, investigators have overattenuated the validity coefficient through an intuitive misapplication of P. Levy's (1967) formula. The authors of the…
Descriptors: Error of Measurement, Computation, Psychiatric Services, Correlation
Harasym, Peter H.; Woloschuk, Wayne; Cunning, Leslie – Advances in Health Sciences Education, 2008
Physician-patient communication is a clinical skill that can be learned and has a positive impact on patient satisfaction and health outcomes. A concerted effort at all medical schools is now directed at teaching and evaluating this core skill. Student communication skills are often assessed by an Objective Structure Clinical Examination (OSCE).…
Descriptors: Medical Schools, Family Practice (Medicine), Examiners, Error of Measurement
Liou, Michelle; And Others – 1996
This research derives simplified formulas for computing the standard error of the frequency estimation method for equating score distributions that are continuized using a uniform or Gaussian kernel function (P. W. Holland, B. F. King, and D. T. Thayer, 1989; Holland and Thayer, 1987). The simplified formulas are applicable to equating both the…
Descriptors: Equated Scores, Error of Measurement, Mathematical Models
Schmitt, Dorren Rafael – 1988
Planned comparisons have been known for several years. Due to the availability of computers, these comparisons have become a more viable alternative to post hoc testing. There are several different types of planned comparisons that can be performed. Research goals must be well thought out when using planned comparisons, since the appropriate…
Descriptors: Error of Measurement, Multivariate Analysis, Research Methodology
Peer reviewedBarcikowski, Robert S. – Educational and Psychological Measurement, 1974
Descriptors: Error of Measurement, Item Sampling, Testing Problems
PDF pending restorationGarvin, Alfred D. – 1976
Three successively simpler formulas for approximating the standard error of measurement were derived by applying successively more simplifying assumptions to the standard formula based on the standard deviation and the Kuder-Richardson formula 20 estimate of reliability. The accuracy of each of these three formulas, with respect to the standard…
Descriptors: Error of Measurement, Statistical Analysis, Test Reliability
Peer reviewedRaslear, Thomas G. – Psychometrika, 1982
The ability of bisection procedures to specify the form of the psychophysical scale depends upon the precision of the technique. It is demonstrated that this precision is a function of the stimulus interval bisected. The testing of interval scale properties of derived scales is discussed. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Psychophysiology, Scaling
Peer reviewedDayton, C. Mitchell; Macready, George B. – Psychometrika, 1980
Goodman contributed to the theory of scaling by including a category of intrinsically unscalable respondents in addition to the usual scale-type respondents. However, his formulation permits only error-free responses by respondents from the scale types. This paper presents new scaling models which have additional desirable properties. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Models, Scaling
Peer reviewedLuh, Wei-Ming; Guo, Jiin-Huarng – Journal of Experimental Education, 2002
Used Johnson's transformation (N. Johnson, 1978) with approximate test statistics to test the homogeneity of simple linear regression slopes in the presence of nonnormality and Type I, Type II or complete heteroscedasticity. Computer simulations show that the proposed techniques can control Type I error under various circumstances. (SLD)
Descriptors: Computer Simulation, Error of Measurement, Regression (Statistics)
Peer reviewedKrijnen, Wim P. – Psychometrika, 2002
Presents a construction method for all factors that satisfy the assumptions of the model for factor analysis, including partially determined factors where certain error variances are zero. Illustrates that variable elimination can have a large effect on the seriousness of factor indeterminacy. (SLD)
Descriptors: Error of Measurement, Factor Analysis, Factor Structure
Peer reviewedOnwuegbuzie, Anthony J.; Daniel, Larry G. – Measurement and Evaluation in Counseling and Development, 2002
This article provides a framework for reporting internal consistency reliability in counseling research and other related social science fields, including guidelines relative to score reliability coefficients and associated confidence intervals for both full sample and subgroups. Follow-up techniques for investigating low score reliability are…
Descriptors: Error of Measurement, Psychometrics, Reliability, Research Methodology
Peer reviewedBrito, Carlos; Pearl, Judea – Structural Equation Modeling, 2002
Established a new criterion for the identification of recursive linear models in which some errors are correlated. Shows that identification is assured as long as error correlation does not exist between a cause and its direct effect; no restrictions are imposed on errors associated with indirect causes. (SLD)
Descriptors: Correlation, Error of Measurement, Structural Equation Models
Peer reviewedKraemer, Helena Chmura; Thiemann, Sue – Journal of Consulting and Clinical Psychology, 1989
Sees soft data, measures having substantial intrasubject variability due to errors of measurement or response inconsistency, as important measures of response in randomized clinical trials. Shows that using intensive design and slope of response on time as outcome measure maximizes sample retention and decreases within-group variability, thus…
Descriptors: Error of Measurement, Research Methodology, Sample Size
Peer reviewedGreen, Samuel B.; Hershberger, Scott L. – Structural Equation Modeling, 2000
Proposes true score models that can account for correlated errors and their effect on coefficient alpha. These models allow random measurement errors on earlier items to affect directly or indirectly the scores on later items. Conditions under which coefficient alpha may yield spuriously high estimates or reliability are discussed. (SLD)
Descriptors: Correlation, Error of Measurement, Reliability, True Scores

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