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Wollack, James A.; Cohen, Allan S.; Serlin, Ronald C. – Applied Psychological Measurement, 2001
Developed a family wise approach for evaluating the significance of copying indices designed to hold the Type I error rate constant for each examinee. Examined the Type I error rate and power of two indices under a variety of copying situations. Results indicate the superiority of a family wise definition of Type I error rate over a pair-wise…
Descriptors: Cheating, Error of Measurement, Tests
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Goodwin, Laura D.; Leech, Nancy L. – Journal of Experimental Education, 2006
The authors describe and illustrate 6 factors that affect the size of a Pearson correlation: (a) the amount of variability in the data, (b) differences in the shapes of the 2 distributions, (c) lack of linearity, (d) the presence of 1 or more "outliers," (e) characteristics of the sample, and (f) measurement error. Also discussed are ways to…
Descriptors: Effect Size, Correlation, Influences, Error of Measurement
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Rae, Gordon – Applied Psychological Measurement, 2006
When errors of measurement are positively correlated, coefficient alpha may overestimate the "true" reliability of a composite. To reduce this inflation bias, Komaroff (1997) has proposed an adjusted alpha coefficient, ak. This article shows that ak is only guaranteed to be a lower bound to reliability if the latter does not include correlated…
Descriptors: Correlation, Reliability, Error of Measurement, Evaluation Methods
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Maydeu-Olivares, Albert – Psychometrika, 2006
Discretized multivariate normal structural models are often estimated using multistage estimation procedures. The asymptotic properties of parameter estimates, standard errors, and tests of structural restrictions on thresholds and polychoric correlations are well known. It was not clear how to assess the overall discrepancy between the…
Descriptors: Structural Equation Models, Multivariate Analysis, Correlation, Error of Measurement
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Robertson, William C. – Science and Children, 2007
Using "error bars" on graphs is a good way to help students see that, within the inherent uncertainty of the measurements due to the instruments used for measurement, the data points do, in fact, lie along the line that represents the linear relationship. In this article, the author explains why connecting the dots on graphs of collected data is…
Descriptors: Graphs, Mathematical Formulas, Error of Measurement, Measurement
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Elizalde-Utnick, Graciela – Communique, 2008
There is great controversy in the field of learning disabilities (LD) regarding the establishment of criteria for LD identification. The traditional approach to LD identification is to use the IQ-discrepancy. Lyon and colleagues (2001) point out the numerous problems with such an approach, including faulty assumptions about the adequacy of an IQ…
Descriptors: Intervention, Learning Disabilities, Second Language Learning, Intelligence Quotient
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Lu, Irene R. R.; Thomas, D. Roland – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This article considers models involving a single structural equation with latent explanatory and/or latent dependent variables where discrete items are used to measure the latent variables. Our primary focus is the use of scores as proxies for the latent variables and carrying out ordinary least squares (OLS) regression on such scores to estimate…
Descriptors: Least Squares Statistics, Computation, Item Response Theory, Structural Equation Models
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Solano-Flores, Guillermo – Educational Researcher, 2008
The testing of English language learners (ELLs) is, to a large extent, a random process because of poor implementation and factors that are uncertain or beyond control. Yet current testing practices and policies appear to be based on deterministic views of language and linguistic groups and erroneous assumptions about the capacity of assessment…
Descriptors: Generalizability Theory, Testing, Second Language Learning, Error of Measurement
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
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Havriluk, Rod – Research Quarterly for Exercise and Sport, 2007
An analysis was conducted to identify sources of true and error variance in measuring swimming drag force to draw valid conclusions about performance factor effects. Passive drag studies were grouped according to methodological differences: tow line in pool, tow line in flume, and carriage in tow tank. Active drag studies were grouped according to…
Descriptors: Aquatic Sports, Error of Measurement, Performance Factors, Measurement Techniques
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Kwok, Oi-man; West, Stephen G.; Green, Samuel B. – Multivariate Behavioral Research, 2007
This Monte Carlo study examined the impact of misspecifying the [big sum] matrix in longitudinal data analysis under both the multilevel model and mixed model frameworks. Under the multilevel model approach, under-specification and general-misspecification of the [big sum] matrix usually resulted in overestimation of the variances of the random…
Descriptors: Monte Carlo Methods, Data Analysis, Computation, Longitudinal Studies
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Gaudron, Jean-Philippe; Vautier, Stephane – Journal of Vocational Behavior, 2007
This study aimed at estimating the correlation between true scores (true consistency) of vocational interest over a short time span in a sample of 1089 adults. Participants were administered 54 items assessing vocational, family, and leisure interests twice over a 1-month period. Responses were analyzed with a multitrait (MT) model, which supposes…
Descriptors: Vocational Interests, Correlation, True Scores, Longitudinal Studies
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Wolins, Leroy – Educational and Psychological Measurement, 1977
In this brief note, the author argues against the use of squared correlation coefficients as measures of explained variance. (JKS)
Descriptors: Correlation, Error of Measurement, Reliability, Validity
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Marcus-Roberts, Helen M.; Roberts, Fred S. – Journal of Educational Statistics, 1987
Discusses the controversy over the limits that scales of measurement impose on the statistical procedures on the statistical procedures we may apply, using the measurement-theoretic concept of meaningfulness in the analysis of these limits. (RB)
Descriptors: Error of Measurement, Scaling, Statistics, Validity
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