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Peer reviewedDunlap, William P.; And Others – Educational and Psychological Measurement, 1987
A procedure proposed by H. F. Kaiser (1968) for averaging coefficients using the first eigenvalue of an intercorrelation matrix was studied via Monte Carlo methods. The study also assessed a modification of the Kaiser procedure and the use of Fisher's "z." Applications to sample size effects are discussed. (TJH)
Descriptors: Correlation, Monte Carlo Methods, Sample Size
Peer reviewedFligner, Michael A. – Journal of Educational Statistics, 1988
An approach for modifying the results of asymptotic theory to improve the performance of statistical procedures in small to moderate sample sizes is described in the context of hypothesis testing. The method is illustrated by a series of examples. (Author)
Descriptors: Hypothesis Testing, Sample Size, Statistical Analysis
Peer reviewedGreen, Kathy W.; Smith, Richard M. – Journal of Educational Statistics, 1987
This paper compares two methods of estimating component difficulties for dichotomous test data. Simulated data are used to study the effects of sample size, collinearity, a measurement disturbance, and multidimensionality on the estimation of component difficulties. (RB)
Descriptors: Difficulty Level, Sample Size, Test Items
Sotaridona, Leonardo S.; Meijer, Rob R. – 2001
This study investigated statistical properties of the K-index (Holland, 1996) that can be used to detect copying behavior on tests. A simulation study was conducted to investigate the applicability of the K-index for small, medium, and large datasets. In addition, the Type I error rate and the detection rate of this index were compared with the…
Descriptors: Cheating, Sample Size, Simulation, Statistical Analysis
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
Peer reviewedSotaridona, 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
Peer reviewedKaplan, 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
Peer reviewedRoussos, 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
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
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
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
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
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
Cardaciotto, LeeAnn; Herbert, James D.; Forman, Evan M.; Moitra, Ethan; Farrow, Victoria – Assessment, 2008
The purpose of this project was to develop a bidimensional measure of mindfulness to assess its two key components: present-moment awareness and acceptance. The development and psychometric validation of the Philadelphia Mindfulness Scale is described, and data are reported from expert raters, two nonclinical samples (n = 204 and 559), and three…
Descriptors: Measures (Individuals), Psychometrics, Construct Validity, Perception

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