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Raykov, Tenko; Marcoulides, George A.; Tong, Bing – Educational and Psychological Measurement, 2016
A latent variable modeling procedure is discussed that can be used to test if two or more homogeneous multicomponent instruments with distinct components are measuring the same underlying construct. The method is widely applicable in scale construction and development research and can also be of special interest in construct validation studies.…
Descriptors: Models, Statistical Analysis, Measurement Techniques, Factor Analysis
Leth-Steensen, Craig; Gallitto, Elena – Educational and Psychological Measurement, 2016
A large number of approaches have been proposed for estimating and testing the significance of indirect effects in mediation models. In this study, four sets of Monte Carlo simulations involving full latent variable structural equation models were run in order to contrast the effectiveness of the currently popular bias-corrected bootstrapping…
Descriptors: Mediation Theory, Structural Equation Models, Monte Carlo Methods, Simulation
Hoekstra, Rink; Johnson, Addie; Kiers, Henk A. L. – Educational and Psychological Measurement, 2012
The use of confidence intervals (CIs) as an addition or as an alternative to null hypothesis significance testing (NHST) has been promoted as a means to make researchers more aware of the uncertainty that is inherent in statistical inference. Little is known, however, about whether presenting results via CIs affects how readers judge the…
Descriptors: Computation, Statistical Analysis, Hypothesis Testing, Statistical Significance

Keselman, H. J.; And Others – Educational and Psychological Measurement, 1976
Compares the harmonic mean and Kramer unequal group forms of the Tukey test for various: (a) degrees of disparate group sizes, (b) numbers of groups, and (c) nominal significant levels. (RC)
Descriptors: Comparative Analysis, Probability, Sampling, Statistical Significance

Braver, Sanford L. – Educational and Psychological Measurement, 1975
The controversy regarding the admissibility of one-tailed tests of hypotheses was examined. Rather than taking a stand with regard to whether the one-or the two-tailed test is the most seriously flawed, a procedure is developed which can capitalize on the advantages of each. (RC)
Descriptors: Comparative Analysis, Hypothesis Testing, Prediction, Probability

Parker, Randall M. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Probability, Statistical Significance

Berry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1987
Subroutines to calculate exact chi square and Fisher's exact probability tests are presented for 3 by 2 cross-classification tables. A nondirectional probability value for each test is computed recursively. (Author/GDC)
Descriptors: Computer Software, Probability, Research Design, Statistical Significance

Kennedy, John J. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Probability

Schroger, Erich; And Others – Educational and Psychological Measurement, 1993
Minkowski distances are used to indicate similarity of two vectors in an N-dimensional space. How to compute the probability function, the expectation, and the variance for Minkowski distances and the special cases City-block distance and Euclidean distance. Critical values for tests of significance are presented in tables. (SLD)
Descriptors: Equations (Mathematics), Probability, Statistical Distributions, Statistical Significance

Tritchler, D. L.; Pedrini, D. T. – Educational and Psychological Measurement, 1975
Considered in this paper are a mathematical discussion and an algorithm, and a computer program for Fisher's test. (Author)
Descriptors: Algorithms, Computer Programs, Hypothesis Testing, Input Output

Keselman, H. J. – Educational and Psychological Measurement, 1976
Investigates the Tukey statistic for the empirical probability of a Type II error under numerous parametric specifications defined by Cohen (1969) as being representative of behavioral research data. For unequal numbers of observations per treatment group and for unequal population variancies, the Tukey test was simulated when sampling from a…
Descriptors: Analysis of Variance, Hypothesis Testing, Power (Statistics), Probability

Woodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1976
Describes a computer program for calculating the power of the F-test. Approach is based upon two independent approximations-- a normalization of the non-central F distribution and an integration of the normal distribution. Comparison of the calculated values of power with exact values revealed a high degree of accuracy. (Author/RC)
Descriptors: Analysis of Variance, Computer Programs, Power (Statistics), Probability

Cohen, Jacob – Educational and Psychological Measurement, 1970
Descriptors: Hypothesis Testing, Predictive Measurement, Probability, Sampling

Terrell, Colin D. – Educational and Psychological Measurement, 1982
Tables are presented giving the critical values of the biserial and the point biserial correlation coefficients (when the null hypothesis assumes a value of zero for the coefficient) at the 0.05 and the 0.01 levels of significance. (Author)
Descriptors: Correlation, Mathematical Formulas, Probability, Research Tools

Aiken, Lewis R.; Aiken, Timothy A. – Educational and Psychological Measurement, 1986
Three exact probability tests, counterparts of t tests for single sample, independent samples, and dependent samples, are described for data obtained from ratings on "m" scales by a single rater or on a single scale by "n" raters. (LMO)
Descriptors: Nonparametric Statistics, Probability, Rating Scales, Statistical Distributions
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