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Schouten, Peter G. W.; And Others – Occupational Therapy Journal of Research, 1993
Schouten and Kirkpatrick's review of evaluations of the Miller Assessment for Preschoolers' predictive validity reveals unacceptably high error rates in target population identification. Miller's response suggests flaws in their argument, Humphry and King-Thomas suggest alternative interpretations, and Schouten and Kirkpatrick respond to their…
Descriptors: At Risk Persons, Child Development, Error of Measurement, Predictive Validity
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Stone, Clement A. – Educational Measurement: Issues and Practice, 1992
TESTAT is a supplementary module for the popular SYSTAT statistical package for the personal computer. The program performs test analyses based on classical test theory and item response theory. Limitations and advantages are discussed. (SLD)
Descriptors: Computer Assisted Testing, Computer Software Evaluation, Error of Measurement, Item Response Theory
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Olson, Julie B.; Hulin, Charles – Journal of Vocational Behavior, 1992
Ninety-five subjects observing videotaped secretaries performing well or poorly were told either to evaluate or monitor job performance. Ratings were influenced by the rater's objective. Regardless of objective, results showed a high level of covariance among the independent traits of the secretaries. (SK)
Descriptors: Cognitive Processes, Error of Measurement, Interrater Reliability, Job Performance
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Allen, Nancy L.; Dunbar, Stephen B. – Applied Psychological Measurement, 1990
The standard error (SE) of correlations adjusted for selection with commonly used formulas was investigated. The study provides large-sample approximations of SE using the Pearson-Lawley three-variable correction formula, examines the SE under specific conditions, and compares various estimates of SEs under direct and indirect selection. (TJH)
Descriptors: Computer Simulation, Correlation, Demography, Error of Measurement
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Wilson, Noel – Education Policy Analysis Archives, 1998
Explores the ways in which error in measurement related to educational standards and the classification of people in educational settings is obscured in most of the practical events involving the assessment of individuals. Establishes the centrality of the measurement of educational standards to the "production" and control of the individual in…
Descriptors: Classification, Educational Assessment, Educational Environment, Elementary Secondary Education
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Treptow, Richard S. – Journal of Chemical Education, 1998
Expands upon the concepts of precision and accuracy at a level suitable for general chemistry. Serves as a bridge to the more extensive treatments in analytical chemistry textbooks and the advanced literature on error analysis. Contains 22 references. (DDR)
Descriptors: Chemistry, Concept Formation, Demonstrations (Science), Error of Measurement
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Caballero, Julio F.; Harris, Delphia F. – Journal of Chemical Education, 1998
Shares examples of reports of uncertainties that exceed the guideline of one or two significant figures. Points out that scientists should take great care in deciding on the appropriate form for reporting their results. (DDR)
Descriptors: Chemistry, Concept Formation, Data Analysis, Error of Measurement
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Wang, Tianyou; Kolen, Michael J.; Harris, Deborah J. – Journal of Educational Measurement, 2000
Describes procedures for calculating conditional standard error of measurement (CSEM) and reliability of scale scores and classification of consistency of performance levels. Applied these procedures to data from the American College Testing Program's Work Keys Writing Assessment with sample sizes of 7,097, 1,035, and 1,793. Results show that the…
Descriptors: Adults, Classification, Error of Measurement, Item Response Theory
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Lei, Ming; Lomax, Richard G. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This simulation study investigated the robustness of structural equation modeling to different degrees of nonnormality under 2 estimation methods, generalized least squares and maximum likelihood, and 4 sample sizes, 100, 250, 500, and 1,000. Each of the slight and severe nonnormality degrees was comprised of pure skewness, pure kurtosis, and both…
Descriptors: Structural Equation Models, Simulation, Sample Size, Least Squares Statistics
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Little, Todd D.; Bovaird, James A.; Widaman, Keith F. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
The goals of this article are twofold: (a) briefly highlight the merits of residual centering for representing interaction and powered terms in standard regression contexts (e.g., Lance, 1988), and (b) extend the residual centering procedure to represent latent variable interactions. The proposed method for representing latent variable…
Descriptors: Interaction, Structural Equation Models, Evaluation Methods, Regression (Statistics)
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Hertzog, Christopher; Lindenberger, Ulman; Ghisletta, Paolo; Oertzen, Timo von – Psychological Methods, 2006
We evaluated the statistical power of single-indicator latent growth curve models (LGCMs) to detect correlated change between two variables (covariance of slopes) as a function of sample size, number of longitudinal measurement occasions, and reliability (measurement error variance). Power approximations following the method of Satorra and Saris…
Descriptors: Multivariate Analysis, Models, Sample Size, Reliability
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Velicer, Wayne F.; Colby, Suzanne M. – Educational and Psychological Measurement, 2005
Missing data are a common practical problem for longitudinal designs. Time-series analysis is a longitudinal method that involves a large number of observations on a single unit. Four different missing-data methods (deletion, mean substitution, mean of adjacent observations, and maximum likelihood estimation) were evaluated. Computer-generated…
Descriptors: Error of Measurement, Maximum Likelihood Statistics, Data Analysis, Longitudinal Studies
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Bonett, Douglas G.; Price, Robert M. – Journal of Educational and Behavioral Statistics, 2005
The tetrachoric correlation describes the linear relation between two continuous variables that have each been measured on a dichotomous scale. The treatment of the point estimate, standard error, interval estimate, and sample size requirement for the tetrachoric correlation is cursory and incomplete in modern psychometric and behavioral…
Descriptors: Correlation, Predictor Variables, Measures (Individuals), Error of Measurement
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Grip, Richard S. – Journal of Research in Rural Education, 2004
Large numbers of rural districts have experienced sharp declines in enrollment, unlike their suburban counterparts. Accurate enrollment projections are required, whether a district needs to build new schools or consolidate existing ones. For school districts having more than 600 students, a quantitative method such as the Cohort-Survival Ratio…
Descriptors: School Districts, Rural Schools, Enrollment Projections, Enrollment Trends
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Fukushima, Yoshihiro; Ushimaru, Makoto; Takahara, Satoshi – Biochemistry and Molecular Biology Education, 2002
In textbook treatments of enzyme inhibition kinetics, adjustment of the initial inhibitor concentration for inhibitor bound to enzyme is often neglected. For example, in graphical plots such as the Dixon plot for estimation of an inhibition constant, the initial concentration of inhibitor is usually plotted instead of the true inhibitor…
Descriptors: Biochemistry, Inhibition, Computation, Kinetics
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