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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
Cumming, Geoff – Psychological Methods, 2010
This comment offers three descriptions of "p[subscript rep]" that start with a frequentist account of confidence intervals, draw on R. A. Fisher's fiducial argument, and do not make Bayesian assumptions. Links are described among "p[subscript rep]," "p" values, and the probability a confidence interval will capture…
Descriptors: Replication (Evaluation), Measurement Techniques, Research Methodology, Validity
Skiba, Russell; Deno, Stanley L. – 1983
Resource room students (N=68) in grades 1-7 of three rural and suburban Minnesota school districts participated in a study of time series data generated by a curriculum-based measurement system. A principal components factor analysis was performed to summarize relationships among the time-series properties and properties of the measurement system.…
Descriptors: Elementary Education, Learning Disabilities, Measurement Techniques, Research Methodology

Robertson, S. E. – Information Processing and Management, 1990
Discusses the problem of determining an adequate sample size for an information retrieval experiment comparing two systems on separate samples of requests. The application of statistical methods to information retrieval experiments is discussed, the Mann-Whitney U Test is used for determining minimum sample sizes, and variables and distributions…
Descriptors: Comparative Analysis, Information Retrieval, Measurement Techniques, Predictor Variables