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Campitelli, Guillermo; Macbeth, Guillermo; Ospina, Raydonal; Marmolejo-Ramos, Fernando – Educational and Psychological Measurement, 2017
We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies…
Descriptors: Research Methodology, Hypothesis Testing, Psychology, Social Science Research
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Stuive, Ilse; Kiers, Henk A. L.; Timmerman, Marieke E. – Educational and Psychological Measurement, 2009
A common question in test evaluation is whether an a priori assignment of items to subtests is supported by empirical data. If the analysis results indicate the assignment of items to subtests under study is not supported by data, the assignment is often adjusted. In this study the authors compare two methods on the quality of their suggestions to…
Descriptors: Simulation, Item Response Theory, Test Items, Factor Analysis
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Klockars, Alan J.; Hancock, Gregory R. – Educational and Psychological Measurement, 1994
Differences between per experiment (PE) and experimentwise (EW) error rates were studied through simulation for several multiple-comparison procedures for both pairwise comparisons and planned contrasts. Results suggest ways to control PE rates through new multiple-comparison procedures that maximize experimental power while controlling Type I…
Descriptors: Comparative Analysis, Computer Simulation, Research Methodology
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Algina, James; Keselman, H. J.; Penfield, Randall D. – Educational and Psychological Measurement, 2006
Kelley compared three methods for setting a confidence interval (CI) around Cohen's standardized mean difference statistic: the noncentral-"t"-based, percentile (PERC) bootstrap, and biased-corrected and accelerated (BCA) bootstrap methods under three conditions of nonnormality, eight cases of sample size, and six cases of population…
Descriptors: Effect Size, Comparative Analysis, Sample Size, Investigations
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Conger, Anthony J.; Ward, David G. – Educational and Psychological Measurement, 1984
Sixteen measures of reliability for two-category nominal scales are compared. Upon correcting for chance agreement, there are only five distinct indices: Fleiss's modification of A-sub-1, the phi coefficient, Cohen's kappa, and two intraclass coefficients. Recommendations for choosing an agreement index are made based on definitions, magnitude,…
Descriptors: Comparative Analysis, Correlation, Data Analysis, Mathematical Models
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Straton, Ralph G. – Educational and Psychological Measurement, 1975
Complete paired comparisons data was obtained by use of multiple rank order (MRO) in the context of gathering rank order preferences of grade six students, their parents, and teachers for instructional objectives. Partially balanced incomplete block designs with two associate classes were used in the MRO instruments instead of the usual balanced…
Descriptors: Comparative Analysis, Data Collection, Matrices, Reliability
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Keselman, H. J.; Toothaker, Larry E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Methodology
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Humphreys, Lloyd G.; Taber, Thomas – Educational and Psychological Measurement, 1973
Descriptors: Comparative Analysis, Factor Analysis, Mathematical Applications, Measurement Techniques
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Feir-Walsh, Betty J.; Toothaker, Larry E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Nonparametric Statistics
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Hinkle, Dennis E.; And Others – Educational and Psychological Measurement, 1985
The authors previously discussed the importance of effect size and Type II errors as factors in determining sample size. Tables were developed and presented for one-factor designs with k levels. As these tables could not be used for the one sample case, comparable tables were developed and are presented. (Author/DWH)
Descriptors: Comparative Analysis, Effect Size, Research Methodology, Sample Size
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Hollenbeck, George P. – Educational and Psychological Measurement, 1972
The Little Jiffy" consists of principal components analysis and varimax rotation of all components with eigenvalues greater than one. (DG)
Descriptors: Cognitive Development, Comparative Analysis, Factor Analysis, Factor Structure
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Terranova, Carmelo – Educational and Psychological Measurement, 1971
A computer program designed to compare factors from similar concept matrices (person by scale) obtained at different times is presented. (PR)
Descriptors: Attitude Change, Comparative Analysis, Computer Programs, Factor Structure
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Wilson, Gale A.; Martin, Samuel A. – Educational and Psychological Measurement, 1983
Either Bartlett's chi-square test of sphericity or Steiger's chi-square test can be used to test the significance of a correlation matrix to determine the appropriateness of factor analysis. They were evaluated using computer-generated correlation matrices. Steiger's test is recommended due to its increased power and computational simplicity.…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Hypothesis Testing
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Mason, Craig A.; And Others – Educational and Psychological Measurement, 1996
A strategy is proposed for conceptualizing moderating relationships based on their type (strictly correlational and classically correlational) and form, whether continuous, noncontinuous, logistic, or quantum. Results of computer simulations comparing three statistical approaches for assessing moderator variables are presented, and advantages of…
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
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Kleinke, David J. – Educational and Psychological Measurement, 1972
Descriptors: Analysis of Variance, Comparative Analysis, Norms, Prediction
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