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Chun, So Yeon; Shapiro, Alexander – Multivariate Behavioral Research, 2009
The noncentral chi-square approximation of the distribution of the likelihood ratio (LR) test statistic is a critical part of the methodology in structural equation modeling. Recently, it was argued by some authors that in certain situations normal distributions may give a better approximation of the distribution of the LR test statistic. The main…
Descriptors: Statistical Analysis, Structural Equation Models, Validity, Monte Carlo Methods
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Kulick, George; Wright, Ronald – International Journal for the Scholarship of Teaching and Learning, 2008
Grading on the curve is a common practice in higher education. While there are many critics of the practice it still finds wide spread acceptance particularly in science classes. Advocates believe that in large classes student ability is likely to be normally distributed. If test scores are also normally distributed instructors and students tend…
Descriptors: Grading, Higher Education, Scores, Outcomes of Education
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Bang, Jung W.; Schumacker, Randall E.; Schlieve, Paul L. – Educational and Psychological Measurement, 1998
The normality of number distributions generated by various random-number generators were studied, focusing on when the random-number generator reached a normal distribution and at what sample size. Findings suggest the steps that should be followed when using a random-number generator in a Monte Carlo simulation. (SLD)
Descriptors: Monte Carlo Methods, Sample Size, Simulation, Statistical Distributions
Lambert, Richard G.; Curlette, William L. – 1995
Validity generalization meta-analysis (VG) examines the extent to which the validity of an instrument can be transported across settings. VG offers correction and summarization procedures designed in part to remove the effects of statistical artifacts on estimates of association between criterion and predictor. By employing a random effects model,…
Descriptors: Correlation, Error of Measurement, Estimation (Mathematics), Meta Analysis