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Stanley, T. D.; Doucouliagos, Hristos – Research Synthesis Methods, 2023
Partial correlation coefficients are often used as effect sizes in the meta-analysis and systematic review of multiple regression analysis research results. There are two well-known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the "correct" variance in the…
Descriptors: Correlation, Statistical Bias, Error Patterns, Error Correction
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Bishara, Anthony J.; Hittner, James B. – Educational and Psychological Measurement, 2015
It is more common for educational and psychological data to be nonnormal than to be approximately normal. This tendency may lead to bias and error in point estimates of the Pearson correlation coefficient. In a series of Monte Carlo simulations, the Pearson correlation was examined under conditions of normal and nonnormal data, and it was compared…
Descriptors: Research Methodology, Monte Carlo Methods, Correlation, Simulation
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Haardorfer, Regine; Gagne, Phill – Focus on Autism and Other Developmental Disabilities, 2010
Some researchers have argued for the use of or have attempted to make use of randomization tests in single-subject research. To address this tide of interest, the authors of this article describe randomization tests, discuss the theoretical rationale for applying them to single-subject research, and provide an overview of the methodological…
Descriptors: Research Design, Researchers, Evaluation Methods, Research Methodology
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Odaci, Hatice; Kalkan, Melek; Karasu, Pinar – International Journal of Special Education, 2009
The aim of this study is to examine the cognitive errors as predictor of quality of life of mainstreamed elementary students. Quality of life is the degree of well-being felt by an individual. The functional deficiencies, which occur due to physical, cognitive, sensory, emotional disorders, affect the quality of life of the individuals. In this…
Descriptors: Mainstreaming, Emotional Disturbances, Quality of Life, Correlation
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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
Curtis, Ervin W. – 1976
The optimum weighting of variables to predict a dependent-criterion variable is an important problem in nearly all of the social and natural sciences. Although the predominant method, multiple regression analysis (MR), yields optimum weights for the sample at hand, these weights are not generally optimum in the population from which the sample was…
Descriptors: Correlation, Error Patterns, Factor Analysis, Matrices