Publication Date
| In 2026 | 0 |
| Since 2025 | 11 |
| Since 2022 (last 5 years) | 121 |
| Since 2017 (last 10 years) | 1491 |
| Since 2007 (last 20 years) | 5823 |
Descriptor
Source
Author
| Lawson, Anton E. | 16 |
| Algina, James | 15 |
| Wilcox, Rand R. | 15 |
| Paas, Fred | 13 |
| Singaravelu, G. | 13 |
| Levin, Joel R. | 12 |
| Games, Paul A. | 11 |
| Newman, Isadore | 11 |
| Feldt, Leonard S. | 10 |
| Levy, Kenneth J. | 10 |
| Olejnik, Stephen F. | 10 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 247 |
| Teachers | 111 |
| Practitioners | 74 |
| Administrators | 13 |
| Policymakers | 13 |
| Students | 9 |
| Media Staff | 7 |
| Counselors | 4 |
| Community | 1 |
Location
| Nigeria | 276 |
| Germany | 163 |
| Canada | 133 |
| Australia | 118 |
| India | 117 |
| Netherlands | 111 |
| United States | 102 |
| Israel | 94 |
| United Kingdom | 90 |
| California | 87 |
| China | 86 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 11 |
| Meets WWC Standards with or without Reservations | 13 |
| Does not meet standards | 7 |
Frentz, Thomas S. – Southern Speech Communication Journal, 1983
Argues that reliance upon verification procedures has inhibited theory building in communication. Advances four falsification procedures and presents examples from communication studies. Offers several implications these procedures have for empirical research in communication. (PD)
Descriptors: Behavioral Science Research, Communication Research, Hypothesis Testing, Research Methodology
Peer reviewedTarling, Roger – Educational and Psychological Measurement, 1982
The Mean Cost Rating, P(A) from Signal Detection Theory, Kendall's rank correlation coefficient tau, and Goodman and Kruskal's gamma measures of predictive power are compared and shown to be different transformations of the statistic S. Gamma is generally preferred for hypothesis testing. Measures of association for ordered contingency tables are…
Descriptors: Comparative Analysis, Hypothesis Testing, Power (Statistics), Predictive Measurement
Peer reviewedRogosa, David – Educational and Psychological Measurement, 1981
The form of the Johnson-Neyman region of significance is shown to be determined by the statistic for testing the null hypothesis that the population within-group regressions are parallel. Results are obtained for both simultaneous and nonsimultaneous regions of significance. (Author)
Descriptors: Hypothesis Testing, Mathematical Models, Predictor Variables, Regression (Statistics)
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1981
The G index is a measure of the similarity between individuals over dichotomous items. Some tests for the G-index are described. For each case an example is included. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Mathematical Models, Nonparametric Statistics
Peer reviewedKeselman, H. J.; And Others – Educational and Psychological Measurement, 1981
This paper demonstrates that multiple comparison tests using a pooled error term are dependent on the circularity assumption and shows how to compute tests which are insensitive (robust) to this assumption. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Models, Research Design, Statistical Significance
Peer reviewedHollingsworth, Holly H. – Educational and Psychological Measurement, 1981
If the null hypothesis of a one-sample test of multivariate means is rejected, the dimension of the line joining the population centroid and the hypothesized centroid can be interpreted with a linear function, using a discriminant function and the correlation of each dependent variable with a discriminant score. (Author/BW)
Descriptors: Discriminant Analysis, Hypothesis Testing, Mathematical Models, Statistical Analysis
Peer reviewedBoik, Robert J. – Psychometrika, 1981
The validity conditions for univariate repeated measures designs are described. Attention is focused on the sphericity (equality of variance) requirement. It is recommended that separate rather than pooled error term procedures be routinely used to test a priori hypotheses. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Research Design
Peer reviewedHuynh, Huynh – Psychometrika, 1981
Procedures for the analysis of profiles of means in repeated measures designs under order restriction for patterns of mean change are described. Tables of critical values are provided for the case of simple-order alternatives. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Profiles
Peer reviewedHorn, John L.; Engstrom, Robert – Multivariate Behavioral Research, 1979
Cattell's scree test and Bartlett's chi-square test for the number of factors to be retained from a factor analysis are shown to be based on the same rationale, with the former reflecting subject sampling variability, and the latter reflecting variable sampling variability. (Author/JKS)
Descriptors: Comparative Analysis, Factor Analysis, Hypothesis Testing, Statistical Analysis
Peer reviewedLee, Howard B.; Comrey, Andrew L. – Multivariate Behavioral Research, 1979
The popular factor analytic procedure of putting unities in the main diagonal and retaining all factors with an eigenvalue greater than one is criticized with respect to the number of factors retained and resultant estimates of common variance. Ways of avoiding these difficulties are discussed. (JKS)
Descriptors: Factor Analysis, Hypothesis Testing, Oblique Rotation, Orthogonal Rotation
Peer reviewedBlair, R. Clifford; Higgins, James J. – Journal of Educational Statistics, 1980
Monte Carlo techniques were used to compare the power of Wilcoxon's rank-sum test to the power of the two independent means t test for situations in which samples were drawn from (1) uniform, (2) Laplace, (3) half-normal, (4) exponential, (5) mixed-normal, and (6) mixed-uniform distributions. (Author/JKS)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Formulas, Nonparametric Statistics
Peer reviewedKatz, Barry M.; McSweeney, Maryellen – Educational and Psychological Measurement, 1980
Errors of misclassification associated with two concept acquisition criteria and their effects on the actual significance level and power of a statistical test for sequential development of these concepts are presented. Explicit illustrations of actual significance levels and power values are provided for different misclassification models.…
Descriptors: Concept Formation, Hypothesis Testing, Mathematical Models, Power (Statistics)
Peer reviewedBudescu, David V.; Appelbaum, Mark I. – Journal of Educational Statistics, 1981
The effect of the variance stabilizing transformations on the significance level and power of the F test, applied to Binomial and Poisson variables, was examined by a Monte Carlo study. The results indicate that the significance level is not affected by the transformations. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Evaluation, Hypothesis Testing
Peer reviewedFeldt, Leonard S. – Psychometrika, 1980
Procedures are developed for testing the hypothesis that Cronbach's alpha reliability coefficient is equal for two tests given to the same subjects. (Author/JKS)
Descriptors: Error of Measurement, Hypothesis Testing, Measurement, Statistical Significance
Peer reviewedAcito, Franklin; Anderson, Ronald D. – Multivariate Behavioral Research, 1980
Orthogonal target analysis, a technique employed in confirmatory factor analysis, is investigated via a simulation study. The results indicate that the technique will recover the correct underlying population pattern except under very unfavorable data conditions and that a close fit to a binary target is not necessarily forced. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Hypothesis Testing, Oblique Rotation


