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Goretzko, David; Heumann, Christian; Bühner, Markus – Educational and Psychological Measurement, 2020
Exploratory factor analysis is a statistical method commonly used in psychological research to investigate latent variables and to develop questionnaires. Although such self-report questionnaires are prone to missing values, there is not much literature on this topic with regard to exploratory factor analysis--and especially the process of factor…
Descriptors: Factor Analysis, Data Analysis, Research Methodology, Psychological Studies
Howell, Ryan T.; Shields, Alan L. – Educational and Psychological Measurement, 2008
Meta-analytic reliability generalizations (RGs) are limited by the scarcity of reliability reporting in primary articles, and currently, RG investigators lack a method to quantify the impact of such nonreporting. This article introduces a stepwise procedure to address this challenge. First, the authors introduce a formula that allows researchers…
Descriptors: Reliability, Meta Analysis, Generalization, Evaluation Methods

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

Zinkgrof, Stephen A. – Educational and Psychological Measurement, 1983
The equivalence of one-way multivariate analysis of variance and canonical correlation is well known. The usefulness of canonical correlation analysis is performing factorial multivariate analysis of variance is demonstrated. (Author)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Multivariate Analysis

Renner, Barbara Rochen; Ball, Donald W. – Educational and Psychological Measurement, 1983
To determine the effect of violating the assumption of homogeneity of covariance for the Tukey Wholly Significant Difference (WSD) test, Monte Carlo simulations varied the number of treatment groups, sample size, and degree of covariance heterogeneity. As covariance heterogeneity was increased, the empirical significance levels increased beyond…
Descriptors: Data Analysis, Hypothesis Testing, Monte Carlo Methods, Research Methodology

McQuitty, Louis L. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Criteria, Data Analysis

Aiken, Lewis R. – Educational and Psychological Measurement, 1994
Three dozen observations and recommendations concerning the activities of research consultants in the behavioral sciences are listed and discussed. These guidelines, some stated as aphorisms, are discussed in the categories of planning; implementation; analysis; interpretation; and reporting. (Author/SLD)
Descriptors: Behavioral Sciences, Data Analysis, Data Interpretation, Guides

Arthur, Winfred, Jr.; And Others – Educational and Psychological Measurement, 1994
Effects of choice of data analysis program on outcomes of meta-analysis were studied by considering the extent to which four commonly used Schmidt and Hunter validity generalization-based meta-analytic software programs produce identical outcomes. Differences were minor and did not influence outcomes. (SLD)
Descriptors: Computer Software, Data Analysis, Educational Research, Generalization

Blair, R. Clifford; And Others – Educational and Psychological Measurement, 1983
Sampling experiments were used to assess the Type I error rates of the t test in situations where classes were randomly assigned to groups but analyses were carried out on individual student scores. Even small amounts of between-class variation caused large inflations in the Type I error rate of the t test. (Author/BW)
Descriptors: Academic Achievement, Data Analysis, Elementary Secondary Education, Error of Measurement

Shine, Lester C., II – Educational and Psychological Measurement, 1982
The interpretation of significant left-tailed analysis of variance (ANOVA) F-ratios is supported by considering the case of a fixed effects ANOVA model. The conclusions of this case are generalizable to other standard ANOVA models. (Author/PN)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models

Kerlinger, Fred N. – Educational and Psychological Measurement, 1972
The theoretical expectations of duality of attitude structure and comparative lack of bipolarity have now been found using both R and Q methodologies. (Author)
Descriptors: Attitude Measures, Data Analysis, Factor Analysis, Factor Structure
Wang, Wen-Chung – Educational and Psychological Measurement, 2004
The Pearson correlation is used to depict effect sizes in the context of item response theory. Amultidimensional Rasch model is used to directly estimate the correlation between latent traits. Monte Carlo simulations were conducted to investigate whether the population correlation could be accurately estimated and whether the bootstrap method…
Descriptors: Test Length, Sampling, Effect Size, Correlation
Velicer, Wayne F.; Colby, Suzanne M. – Educational and Psychological Measurement, 2005
Missing data are a common practical problem for longitudinal designs. Time-series analysis is a longitudinal method that involves a large number of observations on a single unit. Four different missing-data methods (deletion, mean substitution, mean of adjacent observations, and maximum likelihood estimation) were evaluated. Computer-generated…
Descriptors: Error of Measurement, Maximum Likelihood Statistics, Data Analysis, Longitudinal Studies

Edgington, Eugene S.; Haller, Otto – Educational and Psychological Measurement, 1984
This paper explains how to combine probabilities from discrete distributions, such as probability distributions for nonparametric tests. (Author/BW)
Descriptors: Computer Software, Data Analysis, Hypothesis Testing, Mathematical Formulas
Wolfe, Edward W.; Ray, Lisa M.; Harris, Debbi C. – Educational and Psychological Measurement, 2004
The National Center for Educational Statistics' 1999-2000 Schools and Staffing Survey data are used extensively by researchers conducting secondary analysis on a variety of issues including teacher quality, teacher preparation, and the use of technology in the classroom. Researchers frequently combine the data from several related survey questions…
Descriptors: Researchers, Psychometrics, Educational Technology, Data Analysis