Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 60 |
| Since 2007 (last 20 years) | 232 |
Descriptor
| Hypothesis Testing | 548 |
| Statistical Significance | 548 |
| Statistical Analysis | 226 |
| Foreign Countries | 97 |
| Analysis of Variance | 94 |
| Correlation | 94 |
| Comparative Analysis | 93 |
| Research Methodology | 91 |
| Scores | 64 |
| Mathematical Models | 60 |
| Sampling | 59 |
| More ▼ | |
Source
Author
| Games, Paul A. | 6 |
| Thompson, Bruce | 6 |
| Lord, Frederic M. | 5 |
| Newman, Isadore | 5 |
| Olejnik, Stephen F. | 5 |
| Borich, Gary D. | 4 |
| Carlson, James E. | 4 |
| Keselman, H. J. | 4 |
| Levy, Kenneth J. | 4 |
| Timm, Neil H. | 4 |
| Algina, James | 3 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 20 |
| Teachers | 3 |
| Administrators | 1 |
Location
| Nigeria | 16 |
| United States | 6 |
| Jordan | 5 |
| New Jersey | 5 |
| Saudi Arabia | 5 |
| Texas | 5 |
| California | 4 |
| Florida | 4 |
| Germany | 4 |
| Kenya | 4 |
| Tennessee | 4 |
| More ▼ | |
Laws, Policies, & Programs
| Elementary and Secondary… | 1 |
| Elementary and Secondary… | 1 |
| Individuals with Disabilities… | 1 |
| No Child Left Behind Act 2001 | 1 |
| Race to the Top | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
Peer reviewedKennedy, John J. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Probability
Correcting for Heterogeneity of Covariance for Repeated Measures Designs of the Analysis of Variance
Peer reviewedStoloff, Peter H. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Statistical Significance
Stallings, William M.; Singhal, Sushila – J Exp Educ, 1969
Descriptors: Hypothesis Testing, Intervals, Probability, Statistical Significance
Peer reviewedFriedman, Herbert – Educational and Psychological Measurement, 1982
A concise table is presented based on a general measure of magnitude of effect which allows direct determinations of statistical power over a practical range of values and alpha levels. The table also facilitates the setting of the research sample size needed to provide a given degree of power. (Author/CM)
Descriptors: Hypothesis Testing, Power (Statistics), Research Design, Sampling
Peer reviewedTritchler, 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
Peer reviewedOverall, John E.; Woodward J. Arthur – Psychometrika, 1974
A procedure for testing heterogeneity of variance is developed which generalizes readily to complex, multi-factor experimental designs. Monte Carlo studies indicate that the Z-variance test statistic presented here yields results equivalent to other familiar tests for heterogeneity of variance in simple one-way designs where comparisons are…
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Sampling
Koffler, Stephen L. – 1982
Too often researchers rely upon the classical normal theory parametric tests to analyze non-normal data, even though the tests may not be robust to violations of that assumption. Fligner's class of two-sample tests for scale is an important development because the test is distribution-free and has desirable properties. This paper outlines the…
Descriptors: Hypothesis Testing, Nonparametric Statistics, Research Problems, Statistical Analysis
Peer reviewedVitaliano, Peter P.; Halperin, Silas – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Hypothesis Testing, Matrices, Sampling
Peer reviewedCooper, Martin – Educational and Psychological Measurement, 1975
A new test for increasing or decreasing trend in a set of observations is presented. Rather than making specific paired comparisons, as in the Cox and Stuart tests for trend, the user of the new test makes the comparisons of all possible pairs of observations. (Author)
Descriptors: Comparative Analysis, Hypothesis Testing, Nonparametric Statistics, Statistical Significance
Carlson, James E.; And Others – 1975
Researchers often use the analysis of variance to test hypotheses about the means, followed by a multiple comparison technique when the F-test is significant. The technique is this study was developed by Newman (1939) and Keuls (1952). A flaw in the rationale underlying this technique was evaluated to determine whether the flaw is sufficiently…
Descriptors: Analysis of Variance, Hypothesis Testing, Sampling, Statistical Analysis
Hollingsworth, Holly H. – 1976
This study shows that the test statistic for Analysis of Covariance (ANCOVA) has a noncentral F-districution with noncentrality parameter equal to zero if and only if the regression planes are homogeneous and/or the vector of overall covariate means is the null vector. The effect of heterogeneous regression slope parameters is to either increase…
Descriptors: Analysis of Covariance, Hypothesis Testing, Models, Power (Statistics)
Lai, Morris K. – 1973
The purposes of this paper are to: (1) describe some of the serious shortcomings in the current use of tests of statistical significance, (2) discuss how misuses are perpetuated in some widely used references, and (3) present an alternative significance testing model that overcomes some, but not all, of the shortcomings of the currently used…
Descriptors: Analysis of Variance, Hypothesis Testing, Problems, Statistical Analysis
Lord, Frederic M. – 1974
A statistical test for cheating is developed. The case of a single examinee who has taken parallel forms of the same selection test on three occasions, obtaining scores x, y, z, is used to illustrate the development. It is assumed that each score is normally distributed with the same known variance, that is, the variance of the errors of…
Descriptors: Cheating, Hypothesis Testing, Statistical Analysis, Statistical Significance
Spaner, Steven D. – 1976
The inferences allowable with a significant F in regression analysis are discussed. Included in this discussion are the effects of specificity of the research hypothesis, incorporation of covariates, directional hypotheses, and the manipulation of variables on the interpretation of significance for such purposes as causal and directional…
Descriptors: Analysis of Variance, Hypothesis Testing, Multiple Regression Analysis, Statistical Significance
Peer reviewedSchultz, James V.; Hubert, Lawrence – Journal of Educational Statistics, 1976
Illustrates a simple nonparametric alternative that can be used to test a hypothesis that two proximity matrices on the same set of variables or objects reflect a similar pattern of high and low entries. (RC)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Matrices


