The Role of Statistical Significance Testing In Educational Research
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- Type
- article
- Published
- 1998-01-01
- Cited by
- 119
- References
- 39
- OpenAlex
- https://openalex.org/W1505970868
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1879485
Keywords
Statistical significance, Statistical hypothesis testing, Significance testing, Psychology, Test (biology)
References
- The Use (and Misuse) of Statistical Significance Testing: Some Recommendations for Improved Editorial Policy and Practice.
- The Use of Statistical Significance Tests in Research: Bootstrap and Other Alternatives
- What if there were no significance tests
- The Case Against Statistical Significance Testing
- Research news and Comment: Reflections on Statistical and Substantive Significance, With a Slice of Replication
- Theory-Testing in Psychology and Physics: A Methodological Paradox
- Accepting the null hypothesis
- What Statistical Significance Testing Is, and What It Is Not
- Evaluating Results Using Corrected and Uncorrected Effect Size Estimates
- Statistical Significance Testing Practices in The Journal of Experimental Education
- The Case Against Statistical Significance Testing, Revisited
- Children's understanding of the relationship between addition and subtraction.
- Policy Implications of Using Significance Tests in Evaluation Research
- Use of Tests of Statistical Significance and Other Analytic Choices in a School Psychology Journal: Review of Practices and Suggested Alternatives.
- Using confidence intervals in within-subject designs
- Statistical Power Analysis for the Behavioral Sciences (2nd ed.)
- WHY ENCOURAGING EFFECT SIZE REPORTING IS NOT WORKING : THE ETIOLOGY OF RESEARCHER RESISTANCE TO CHANGING PRACTICES
- Beyond the Two Disciplines of Scientific Psychology.
- Seven Treacherous Pitfalls of Statistics, Illustrated
- Rejoinder: Editorial Policies Regarding Statistical Significance Tests: Further Comments
Cited by
- Eighth Grade Science Teachers Use of Instructional Time: Comparing Questions from the Third International Mathematics and Science Study (TIMSS) and National Science Foundation Questionnaires.
- Empirically Based Criteria for Determining Meaningful Effect Size.
- Gender Differences in Mathematics Self-Efficacy and Back Substitution in Multiple-Choice Assessment.
- Avoiding Decision-Making by Chance: Protecting Effect Size Estimates
- ACADEMIC AND ECONOMIC VALUATION OF CREDENTIAL ATTAINMENT: THE CONSEQUENCES OF DISPARATE PERCEPTIONS BETWEEN HIGH SCHOOL AND GED STUDENTS
- Are All Effect Sizes Created Equal
- Fight the Good Fight: A Response to Thompson, Knapp, and Levin
- Towards an Extended Typology of Research Errors.
- A National Survey of AERA Members' Perceptions of the Nature and Meaning of Statistical Significance Tests.
- JMASM19: A SPSS Matrix For Determining Effect Sizes From Three Categories: r And Functions Of r, Differences Between Proportions, And Standardized Differences Between Means
- A Comparison Of Equivalence Testing In Combination With Hypothesis Testing And Effect Sizes
- Gender and culture influences on leadership perceptions
- Desvendando os Mistérios do Coeficiente de Correlação de Pearson (r)
- Typology of Analytical and Interpretational Errors in Quantitative and Qualitative Educational Research
- Statistical prevarication: telling half truths using statistics
- What If There Were No More Bickering About Statistical Significance Tests
- On the Nature and Role of Hypothesis Tests
- Comments on the Statistical Significance Testing Articles
- A web-based tutoring system with styles-matching strategy for learning spatial geometry
- New statistical algorithms for the analysis of mass spectrometry time-of- flight mass data with applications in clinical diagnostics (Neue statistische Algorithmen zur Analyse von Massenspektrometrie Time-Of- Flight Massendaten mit Anwendungen in der klinischen Diagnostik)
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- Practical Significance: A Concept Whose Time Has Come
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- AERA Editorial Policies regarding Statistical Significance Testing: Three Suggested Reforms
- The Case Against Statistical Significance Testing, Revisited
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