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Zachary del Rosario – Journal of Statistics and Data Science Education, 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations
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Nugent, William Robert; Moore, Matthew; Story, Erin – Educational and Psychological Measurement, 2015
The standardized mean difference (SMD) is perhaps the most important meta-analytic effect size. It is typically used to represent the difference between treatment and control population means in treatment efficacy research. It is also used to represent differences between populations with different characteristics, such as persons who are…
Descriptors: Error of Measurement, Error Correction, Predictor Variables, Monte Carlo Methods
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Moses, Tim – ETS Research Report Series, 2013
The purpose of this report is to review ETS psychometric contributions that focus on test scores. Two major sections review contributions based on assessing test scores' measurement characteristics and other contributions about using test scores as predictors in correlational and regression relationships. An additional section reviews additional…
Descriptors: Psychometrics, Scores, Correlation, Regression (Statistics)
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Shear, Benjamin R.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2013
Type I error rates in multiple regression, and hence the chance for false positive research findings, can be drastically inflated when multiple regression models are used to analyze data that contain random measurement error. This article shows the potential for inflated Type I error rates in commonly encountered scenarios and provides new…
Descriptors: Error of Measurement, Multiple Regression Analysis, Data Analysis, Computer Simulation
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Moses, Tim – Journal of Educational Measurement, 2012
The focus of this paper is assessing the impact of measurement errors on the prediction error of an observed-score regression. Measures are presented and described for decomposing the linear regression's prediction error variance into parts attributable to the true score variance and the error variances of the dependent variable and the predictor…
Descriptors: Error of Measurement, Prediction, Regression (Statistics), True Scores
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Roberts, Ros; Johnson, Philip – Curriculum Journal, 2015
Recent school science curriculum developments in many countries emphasise that scientists derive evidence for their claims through different approaches; that such practices are bound up with disciplinary knowledge; and that the quality of data should be appreciated. This position paper presents an understanding of the validity of data as a set of…
Descriptors: Educational Quality, Data, Concept Mapping, Scientific Concepts
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Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
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Kelava, Augustin; Werner, Christina S.; Schermelleh-Engel, Karin; Moosbrugger, Helfried; Zapf, Dieter; Ma, Yue; Cham, Heining; Aiken, Leona S.; West, Stephen G. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Interaction and quadratic effects in latent variable models have to date only rarely been tested in practice. Traditional product indicator approaches need to create product indicators (e.g., x[superscript 2] [subscript 1], x[subscript 1]x[subscript 4]) to serve as indicators of each nonlinear latent construct. These approaches require the use of…
Descriptors: Simulation, Computation, Evaluation, Predictor Variables
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Geiser, Christian; Eid, Michael; Nussbeck, Fridtjof W.; Courvoisier, Delphine S.; Cole, David A. – Developmental Psychology, 2010
The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Validity, Measurement
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Raju, Nambury S.; Lezotte, Daniel V.; Fearing, Benjamin K.; Oshima, T. C. – Applied Psychological Measurement, 2006
This note describes a procedure for estimating the range restriction component used in correcting correlations for unreliability and range restriction when an estimate of the reliability of a predictor is not readily available for the unrestricted sample. This procedure is illustrated with a few examples. (Contains 1 table.)
Descriptors: Correlation, Reliability, Predictor Variables, Error Correction
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Flanagan, Kristin Denton; McPhee, Cameron – National Center for Education Statistics, 2009
Using data from the final two rounds of the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B), a longitudinal study begun in 2001, this First Look provides a snapshot of the demographic characteristics, reading and mathematics knowledge, fine motor skills, school characteristics, and before- and after-school care arrangements of the cohort…
Descriptors: Child Development, Kindergarten, Longitudinal Studies, Cohort Analysis
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Anderson, Lance E.; And Others – Multivariate Behavioral Research, 1996
Simulations were used to compare the moderator variable detection capabilities of moderated multiple regression (MMR) and errors-in-variables regression (EIVR). Findings show that EIVR estimates are superior for large samples, but that MMR is better when reliabilities or sample sizes are low. (SLD)
Descriptors: Comparative Analysis, Error of Measurement, Estimation (Mathematics), Interaction
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Allen, Richard L. – Communication Research--An International Quarterly, 1981
Assesses the reliability and stability of television exposure, and the relationship of various demographic variables to this hypothetical construct, when measurement error is removed. Analyzes data collected from Black adults. Concludes that more attention should be given to theoretically defining media exposure and to taking into account…
Descriptors: Adults, Blacks, Communication Research, Demography
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Jacobson, Joseph L.; Jacobson, Sandra W. – Developmental Psychology, 1996
Examined methodological issues related to the detection and evaluation of behavioral toxicity in infants and children, focusing on the selection of appropriate variables and strategies to control for confounding, sampling strategies and the problem of "overcontrol" for confounding; and the evaluation of dose-response relations and…
Descriptors: Children, Developmental Psychology, Error of Measurement, Fetal Alcohol Syndrome
Edwards, Keith J. – 1971
This paper, a revision of the original document, "Correcting Partial, Multiple, and Canonical Correlations for Attenuation" (see TM 000 535), presents the formula for correcting coefficients of partial correlation for attenuation due to errors of measurement. In addition, the correction for attenuation formulas for multiple and cannonical…
Descriptors: Algebra, Analysis of Variance, Correlation, Data Analysis
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