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The Journal of Experimental Education Volume 61, 1993 - Issue 4: Statistical Significance Testing in Contemporary Practice: Some Proposed Alternatives With Comments From Journal Editors
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Original Articles

Historical Origins of Statistical Testing Practices

The Treatment of Fisher Versus Neyman-Pearson Views in Textbooks

Carl J HubertyUniversity of Georgia
Pages 317-333 | Published online: 15 Apr 2014

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Chao-Ying Joanne Peng, Haiying Long & Serdar Abaci. (2012) Power Analysis Software for Educational Researchers. The Journal of Experimental Education 80:2, pages 113-136.
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Keenan A. Pituch. (2004) Textbook Presentations on Supplemental Hypothesis Testing Activities, Nonnormality, and the Concept of Mediation. Understanding Statistics 3:3, pages 135-150.
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ThomasA. Devaney. (2001) Statistical Significance, Effect Size, and Replication: What Do the Journals Say?. The Journal of Experimental Education 69:3, pages 310-320.
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JonathanA. Plucker. (1997) Debunking the myth of the “highly significant” result: Effect sizes in gifted education research . Roeper Review 20:2, pages 122-126.
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Bruce Thompson & PatriciaA. Snyder. (1997) Statistical Significance Testing Practices in The Journal of Experimental Education . The Journal of Experimental Education 66:1, pages 75-83.
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William Asher. (1993) The Role of Statistics in Research. The Journal of Experimental Education 61:4, pages 388-393.
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William D. Schafer. (1993) Interpreting Statistical Significance and Nonsignificance. The Journal of Experimental Education 61:4, pages 383-387.
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Joel R. Levin. (1993) Statistical Significance Testing From Three Perspectives. The Journal of Experimental Education 61:4, pages 378-382.
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Ronald P. Carver. (1993) The Case Against Statistical Significance Testing, Revisited. The Journal of Experimental Education 61:4, pages 287-292.
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Thomas F Heston. (2023) Statistics as a Moral Framework for Biomedical Research. SSRN Electronic Journal.
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Ruth C. Butler. (2021) Popularity leads to bad habits: Alternatives to “the statistics” routine of significance, “alphabet soup” and dynamite plots. Annals of Applied Biology 180:2, pages 182-195.
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Leonardo Braga Castilho & Paulo Inácio Prado. (2021) Towards a pragmatic use of statistics in ecology. PeerJ 9, pages e12090.
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Ryota MORIMOTO. (2021) <i>Stop and Think About p-Value Statistics: Fisher, Neyman, and E. Pearson Revisited</i>. Annals of the Japan Association for Philosophy of Science 30:0, pages 43-65.
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Dolores Frias‐Navarro, Juan Pascual‐Llobell, Marcos Pascual‐Soler, Jose Perezgonzalez & Jose Berrios‐Riquelme. (2020) Replication crisis or an opportunity to improve scientific production?. European Journal of Education 55:4, pages 618-631.
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Michael J. Lew. 2020. Good Research Practice in Non-Clinical Pharmacology and Biomedicine. Good Research Practice in Non-Clinical Pharmacology and Biomedicine 223 256 .
Ian J. Davidson. (2018) The Ouroboros of Psychological Methodology: The Case of Effect Sizes (Mechanical Objectivity vs. Expertise). Review of General Psychology 22:4, pages 469-476.
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Jose D. Perezgonzalez. (2015) Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. Frontiers in Psychology 6.
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Helena Espirito Santo & Fernanda Bento Daniel. (2015) Calcular e apresentar tamanhos do efeito em trabalhos científicos (1): As limitações do p < 0,05 na análise de diferenças de médias de dois grupos. Revista Portuguesa de Investigação Comportamental e Social 1:1, pages 3-16.
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Wiesław Szymczak. (2015) Pojęcie wielkości efektu na tle teorii Neymana-Pearsona testowania hipotez statystycznych. Acta Universitatis Lodziensis. Folia Psychologica:19, pages 5-41.
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Jose D. Perezgonzalez. (2014) A reconceptualization of significance testing. Theory & Psychology 24:6, pages 852-859.
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Willi Hager. (2013) The statistical theories of Fisher and of Neyman and Pearson: A methodological perspective. Theory & Psychology 23:2, pages 251-270.
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Dalson Britto Figueiredo Filho, Ranulfo Paranhos, Enivaldo C. da Rocha, Mariana Batista, José Alexandre da Silva Jr., Manoel L. Wanderley D. Santos & Jacira Guiro Marino. (2013) When is statistical significance not significant?. Brazilian Political Science Review 7:1, pages 31-55.
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Raegan Murphy. 2010. Dynamic Assessment, Intelligence and Measurement. Dynamic Assessment, Intelligence and Measurement 241 273 .
Herman AguinisSteve Werner, JéAnna Lanza Abbott, Cory Angert, Joon Hyung Park & Donna Kohlhausen. (2009) Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind. Organizational Research Methods 13:3, pages 515-539.
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Stuart H. Hurlbert & Celia M. Lombardi. (2009) Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian. Annales Zoologici Fennici 46:5, pages 311-349.
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Patrick Dattalo. (2009) A Review of Software for Sample Size Determination. Evaluation & the Health Professions 32:3, pages 229-248.
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Robin K. Henson. (2016) Book Review: Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research. Applied Psychological Measurement 30:5, pages 452-455.
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Robin K. Henson. (2016) Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research. The Counseling Psychologist 34:5, pages 601-629.
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Willi Hager. (2006) Die Fallibilität empirischer Daten und die Notwendigkeit der Kontrolle der Wahrscheinlichkeiten falscher Entscheidungen. Zeitschrift für Psychologie / Journal of Psychology 214:1, pages 10-23.
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Willi Hager. (2005) Vorgehensweisen in der deutschsprachigen psychologischen Forschung. Psychologische Rundschau 56:3, pages 191-200.
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Todd C. Campbell. (2016) An Introduction to Clinical Significance: An Alternative Index of Intervention Effect for Group Experimental Designs. Journal of Early Intervention 27:3, pages 210-227.
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David L. Weakliem. (2016) Introduction to the Special Issue on Model Selection. Sociological Methods & Research 33:2, pages 167-187.
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Raymond Hubbard. (2016) Alphabet Soup. Theory & Psychology 14:3, pages 295-327.
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Joseph Little. (2016) The Peter Effect in Early Experimental Education Research. Journal of Technical Writing and Communication 33:1, pages 41-63.
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Bruce Thompson. (2011) “Statistical,” “Practical,” and “Clinical”: How Many Kinds of Significance Do Counselors Need to Consider?. Journal of Counseling & Development 80:1, pages 64-71.
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Joseph Little. (2016) Understanding Statistical Significance: A Conceptual History. Journal of Technical Writing and Communication 31:4, pages 363-372.
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Raymond Hubbard & Patricia A. Ryan. (2016) Statistical Significance with Comments by Editors of Marketing Journals. Educational and Psychological Measurement 60:5, pages 661-681.
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Kathleen C. Mittag & Bruce Thompson. (2016) Research news and Comment: A National Survey of AERA Members’ Perceptions of Statistical Significance Tests and Other Statistical Issues. Educational Researcher 29:4, pages 14-20.
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Gerhard Andersson. (1999) The Role of Meta-Analysis in the Significance Test Controversy. European Psychologist 4:2, pages 75-82.
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James T. AustinKristin A. Boyle & Joselito C. Lualhati. (2016) Statistical Conclusion Validity for Organizational Science Researchers: A Review. Organizational Research Methods 1:2, pages 164-208.
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Bruce Thompson. (2016) Book Reviews. Educational and Psychological Measurement 58:2, pages 334-346.
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Raymond HubbardRahul A. Parsa & Michael R. Luthy. (2016) The Spread of Statistical Significance Testing in Psychology. Theory & Psychology 7:4, pages 545-554.
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Bruce Thompson. (2016) Research news and Comment: AERA Editorial Policies Regarding Statistical Significance Testing: Three Suggested Reforms. Educational Researcher 25:2, pages 26-30.
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David A. Gulley. (2012) The Adoption of Statistical Tests by Natural Scientists: An Empirical Analysis. SSRN Electronic Journal.
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