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Kim, Se-Kang – 2002
The effect of bootstrapping was studied by examining whether major profile patterns were replicated when sample sizes were reduced. Profile patterns estimated from the original sample (n=645) of the Wechsler Preschool and Primary Scale of IntelligenceThird Edition (WPPSI-III) Standardization Data were considered major profiles. For bootstrapping,…
Descriptors: Profiles, Sample Size, Structural Equation Models
Onwuegbuzie, Anthony J.; Daniel, Larry G.; Roberts, J. Kyle – 2001
The purpose of this paper is to illustrate how displaying disattenuated correlation coefficients along with their unadjusted counterparts will allow the reader to assess the impact of unreliability on each bivariate relationship. The paper also demonstrates how a proposed new "what if reliability" analysis can complement the conventional null…
Descriptors: Correlation, Reliability, Sample Size, Statistical Significance
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Sotaridona, Leonardo S.; Meijer, Rob R. – Journal of Educational Measurement, 2002
Studied the statistical properties of the K-index (P. Holland, 1996) that can be used to detect copying behavior on a test through a simulation study of the use of the K-statistic with small, medium, and large datasets. Also compared the Type I error rate and detection rate of this index with those of the copying index (J. Wollack, 1997).…
Descriptors: Cheating, Identification, Plagiarism, Sample Size
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Kaplan, David; Ferguson, Aaron J. – Structural Equation Modeling, 1999
Examines the use of sample weights in latent variable models in the case where a simple random sample is drawn from a population containing a mixture of strata through a bootstrap simulation study. Results show that ignoring weights can lead to serious bias in latent variable model parameters and reveal the advantages of using sample weights. (SLD)
Descriptors: Models, Sample Size, Simulation, Statistical Bias
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Roussos, Louis A.; Stout, William F. – Journal of Educational Measurement, 1996
Investigated Type I error performances of the SIBTEST and Mantel-Haenszel procedures for detecting differential item functioning (DIF) using simulation. Results of small sample simulation show no large differences in Type I error performances for the two techniques. Discusses results of a second simulation which shows some advantages for SIBTEST.…
Descriptors: Identification, Item Bias, Sample Size, Simulation
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Jackson, Dennis L. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
A number of authors have proposed that determining an adequate sample size in structural equation modeling can be aided by considering the number of parameters to be estimated. While this advice seems plausible, little empirical support appears to exist. A previous study by Jackson (2001), failed to find support for this hypothesis, however, there…
Descriptors: Sample Size, Structural Equation Models, Computation
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Goldman, Gregory A.; Anderson, Timothy – Journal of Counseling Psychology, 2007
Security of attachment and quality of object relations were measured as predictors of initial impressions of the therapeutic alliance as well as dropout. Fifty-five individual psychotherapy clients were administered the Revised Adult Attachment Scale and the Bell Object Relations and Reality Testing Inventory prior to their initial therapy…
Descriptors: Psychotherapy, Dropouts, Attachment Behavior, Measures (Individuals)
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Krull, Jennifer L. – Developmental Psychology, 2007
This study investigates the extent to which analytic power can be increased through the inclusion of siblings in a data set and the concomitant use of random coefficient multilevel models. Analyses of real-world data regarding the predictors of young adult alcohol use illustrate how parallel single-level analyses of a 1-child-per-family data set…
Descriptors: Young Adults, Siblings, Simulation, Drinking
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Lee, Sik-Yum; Song, Xin-Yuan; Tang, Nian-Sheng – Structural Equation Modeling: A Multidisciplinary Journal, 2007
The analysis of interaction among latent variables has received much attention. This article introduces a Bayesian approach to analyze a general structural equation model that accommodates the general nonlinear terms of latent variables and covariates. This approach produces a Bayesian estimate that has the same statistical optimal properties as a…
Descriptors: Interaction, Structural Equation Models, Bayesian Statistics, Computation
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Mackintosh, N. J. – Intelligence, 2007
Mackintosh and Bennett [Mackintosh, N. J., Bennett, E. S. (2005). What do Raven's Matrices measure? An analysis in terms of sex differences. "Intelligence, 33," 663-674] reported that male students obtained higher scores than females on Raven's items that required for their solution addition/subtraction or distribution of two rules, but…
Descriptors: Gender Differences, Sample Size, Scores, Test Reliability
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Jackson, Dennis L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Some authors have suggested that sample size in covariance structure modeling should be considered in the context of how many parameters are to be estimated (e.g., Kline, 2005). Previous research has examined the effect of varying sample size relative to the number of parameters being estimated (N:q). Although some support has been found for this…
Descriptors: Sample Size, Factor Analysis, Structural Equation Models, Goodness of Fit
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Adedoyin, O. O.; Nenty, H. J.; Chilisa, B. – Educational Research and Reviews, 2008
This is a quantitative empirical research study validating the invariance of item difficulty parameters estimates based on the two competing measurement frameworks, the classical test theory (CTT) and the item response theory (IRT). In order to achieve the set goal, one fifty five (155) different independent samples were drawn from the population…
Descriptors: Sample Size, Ability Grouping, Foreign Countries, Computation
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Lyons, Paul – Journal of European Industrial Training, 2008
Purpose: There are three purposes to this article: first, to offer a training approach to employee learning and performance improvement that makes use of a step-by-step process of skill/knowledge creation. The process offers follow-up opportunities for skill maintenance and improvement; second, to explain the conceptual bases of the approach; and…
Descriptors: Employees, Job Performance, Training Methods, Management Development
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Kellam, N. N.; Maher, M. A.; Peters, W. H. – European Journal of Engineering Education, 2008
This research effort examined current mechanical engineering educational programmes in America and Australia to determine the degree of holistic, systems thinking of each programme. Faculty from ten American universities and ten Australian universities participated in online surveys and interviews. Resulting data analysis and interpretation…
Descriptors: Higher Education, Extracurricular Activities, Universities, Engineering
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Wells, Craig S.; Bolt, Daniel M. – Applied Measurement in Education, 2008
Tests of model misfit are often performed to validate the use of a particular model in item response theory. Douglas and Cohen (2001) introduced a general nonparametric approach for detecting misfit under the two-parameter logistic model. However, the statistical properties of their approach, and empirical comparisons to other methods, have not…
Descriptors: Test Length, Test Items, Monte Carlo Methods, Nonparametric Statistics
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