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Mallinckrodt, Brent; Abraham, W. Todd; Wei, Meifen; Russell, Daniel W. – Journal of Counseling Psychology, 2006
P. A. Frazier, A. P. Tix, and K. E. Barron (2004) highlighted a normal theory method popularized by R. M. Baron and D. A. Kenny (1986) for testing the statistical significance of indirect effects (i.e., mediator variables) in multiple regression contexts. However, simulation studies suggest that this method lacks statistical power relative to some…
Descriptors: Statistical Significance, Multiple Regression Analysis, Simulation, Evaluation Methods
Wollack, James A. – Applied Measurement in Education, 2006
Many of the currently available statistical indexes to detect answer copying lack sufficient power at small [alpha] levels or when the amount of copying is relatively small. Furthermore, there is no one index that is uniformly best. Depending on the type or amount of copying, certain indexes are better than others. The purpose of this article was…
Descriptors: Statistical Analysis, Item Analysis, Test Length, Sample Size
Jennrich, Robert I.; Thayer, Dorothy T. – 1973
Evidence is given to indicate that Lawley's formulas for the standard errors of maximum likelihood loading estimates do not produce exact asymptotic results. A small modification is derived which appears to eliminate this difficulty. (Author)
Descriptors: Error Patterns, Factor Analysis, Research Reports, Statistical Analysis
Fidalgo, Angel M.; Ferreres, Doris; Muniz, Jose – Educational and Psychological Measurement, 2004
Sample-size restrictions limit the contingency table approaches based on asymptotic distributions, such as the Mantel-Haenszel (MH) procedure, for detecting differential item functioning (DIF) in many practical applications. Within this framework, the present study investigated the power and Type I error performance of empirical and inferential…
Descriptors: Test Bias, Evaluation Methods, Sample Size, Error Patterns
Wilcox, Rand R. – Educational and Psychological Measurement, 2006
For two random variables, X and Y, let D = X - Y, and let theta[subscript x], theta[subscript y], and theta[subscript d] be the corresponding medians. It is known that the Wilcoxon-Mann-Whitney test and its modern extensions do not test H[subscript o] : theta[subscript x] = theta[subscript y], but rather, they test H[subscript o] : theta[subscript…
Descriptors: Scores, Inferences, Comparative Analysis, Statistical Analysis

Bookstein, Abrham – Library Quarterly, 1974
Discusses three types of faults which commonly occur in statistical sampling. (JG)
Descriptors: Error Patterns, Library Research, Research Methodology, Sampling

Bird, Kevin D. – Multivariate Behavioral Research, 1975
Generalizations of the Scheffe, Tukey, and Bonferroni-t techniques are presented, each of which controls the experimentwise error rate for a particular type of partially or fully planned analysis. All three procedures provide more power than multivariate analysis of variance (MANOVA) tests. (Author/BJG)
Descriptors: Analysis of Variance, Error Patterns, Hypothesis Testing, Research Methodology
Games, Paul A. – 1977
Games (1973) criticized the Marascuilo and Levin (1970) "nested" or simple effects design as a poor substitute for the usual logic of a factorial analysis of variance. Marascuilo and Levin's use of "nesting" is completely idiosyncratic and contrary to well-established usage, thus confusing the student. Proper usage is…
Descriptors: Analysis of Variance, Error Patterns, Mathematical Models, Statistical Analysis
Love, Gloria C. – 1988
The probability of experiment-wise error is explored. Overall, the experiment-wise error rate is directly related to the test-wise error rate--the alpha level set by researchers to curtail the existence of a Type I error. A Type I error occurs when a true null hypothesis is rejected in a given study or experiment. The experiment-wise error rate is…
Descriptors: Data Analysis, Error Patterns, Estimation (Mathematics), Experiments

Hummel, Thomas J.; Feltovich, Paul J. – Multivariate Behavioral Research, 1975
Monte Carlo methods were used to investigate the robustness of techniques used in judging the magnitude of a sample correlation coefficient when observations are correlated. Empirical distributions of r, t, and Fisher's z were generated. A technique for controlling error rates in certain situations is suggested. (Author/BJG)
Descriptors: Computer Science, Correlation, Error Patterns, Monte Carlo Methods
Shoemaker, David M. – 1972
Investigated empirically through post mortem item-examinee sampling was the feasibility of the jackknife as a procedure for approximating standard errors of estimate in multiple matrix sampling. The parameters estimated were the mean test score, second through fourth central moments of the test score distribution, and the variance of the item…
Descriptors: Error of Measurement, Error Patterns, Item Sampling, Matrices
Subkoviak, Michael J. – 1973
When Torgerson's multidimensional scaling model is used in conjunction with the method of tetrads, derived coordinates are based on data which is assumed to be distributed normally. The object of this study was to determine the amount of error contained in derived coordinates when the normality assumption is violated. Torgerson coordinates were…
Descriptors: Comparative Analysis, Correlation, Error Patterns, Models
Shoemaker, David M. – 1970
Selected parameters for a negatively-skewed and a normally distributed normative distribution were estimated in a post-mortem item-examinee sampling investigation. Manipulated systematically were number of subtests, number of items per subtest, and number of examinees responding to each subtest. Each item-examinee sampling procedure was replicated…
Descriptors: Error Patterns, Item Sampling, Research, Sampling

Meijer, Rob R. – Applied Psychological Measurement, 1994
Through simulation, the power of the U3 statistic was compared with the power of one of the simplest person-fit statistics, the sum of the number of Guttman errors. In most cases, a weighted version of the latter statistic performed as well as the U3 statistic. (SLD)
Descriptors: Error Patterns, Item Response Theory, Nonparametric Statistics, Power (Statistics)
Zimmerman, Donald W. – Psicologica: International Journal of Methodology and Experimental Psychology, 2004
It is well known that the two-sample Student t test fails to maintain its significance level when the variances of treatment groups are unequal, and, at the same time, sample sizes are unequal. However, introductory textbooks in psychology and education often maintain that the test is robust to variance heterogeneity when sample sizes are equal.…
Descriptors: Sample Size, Nonparametric Statistics, Probability, Statistical Analysis