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1

Mohr, Lawerence B. Understanding significance testing. Newbury Park, Calif: Sage Publications, 1990.

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2

Statistical significance: Rationale, validity, and utility. London: Sage Publications, 1996.

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3

Cookson, Hazel. Assessing the statistical significance of rare events. London, England: Directorate of Psychological Services, Home Office, Prison Dept., 1990.

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4

Cookson, Hazel. Assessing the statistical significance of rare events. London: Home Office, Prison Department, 1990.

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5

Wyss, Max, Kunihiko Shimazaki, and Akihiko Ito, eds. Seismicity Patterns, their Statistical Significance and Physical Meaning. Basel: Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8677-2.

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6

Salsburg, David. The use of restricted significance tests in clinical trials. New York: Springer-Verlag, 1992.

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7

McDermott, C. John. Cointegration: Origins and significance for economists. [New Zealand]: Reserve Bank of New Zealand, Economic Dept., 1990.

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8

The use of restricted significance tests in clinical trials. New York: Springer-Verlag, 1992.

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9

Applied adaptive statistical methods: Tests of significance and confidence intervals. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2004.

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10

Ziliak, Stephen Thomas. The cult of statistical significance: How the standard error costs us jobs, justice, and lives. Ann Arbor: University of Michigan Press, 2008.

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11

Kakwani, Nanak. Testing for significance of poverty differences: With application to Côte d'Ivoire. Washington, D.C: World Bank, 1990.

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12

Tzelepi, Nassia, and Mark Carroll. Graphite testing for nuclear applications: The significance of test specimen volume and geometry and the statistical significance of test specimen population. West Conshohocken, PA: ASTM International, 2014.

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13

Tzelepi, Nassia, and Mark Carroll, eds. Graphite Testing for Nuclear Applications: The Significance of Test Specimen Volume and Geometry and the Statistical Significance of Test Specimen Population. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2014. http://dx.doi.org/10.1520/stp1578-eb.

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14

Pesaran, Hashem. The statistical and economic significance of the predictability of excess returns on common stocks. Cambridge: University of Cambridge, Department of Applied Economics, 1990.

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15

Significance, of Reliable Statistics to Conduct Effective Management Workshop (1994 Paris France). The Significance of Reliable Statistics to Conduct Effective Management Workshop. Paris: Organisation for Economic Co-operation and Development, 1995.

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16

Kline, Rex B. Beyond significance testing: Statistics reform in the behavioral sciences (2nd ed.). Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/14136-000.

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17

Tertullien, John Egbert. The role and significance of statistics in government and business, with special reference to the Bahamas. Nassau, Bahamas: Dept. of Statistics, Ministry of Finance, 1989.

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18

R, Blau Lucie, and Conference Board, eds. The U.S. economy demystified: What the major economic statistics mean and their significance for business. Lexington, Mass: Lexington Books, 1988.

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19

Board, Conference, ed. The U.S. economy demystified: What the major economic statistics mean and their significance for business. Lexington, Mass: Lexington Books, 1985.

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20

Bissett, Don. Resource harvests, hunter-trappers in the Mackenzie Valley: (economic and social significance). Ottawa, Ont: Environmental-Social Committee, Northern Pipelines, Task Force on Northern Oil Development, 1992.

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21

Education in India since 1991: Significant documents, recent developments, statistics, and Ph. D. theses. Delhi: Doaba House, 1997.

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22

O'Gorman, Thomas W. Adaptive tests of significance using permutations of residuals with R and SAS. Hoboken, NJ: Wiley, 2012.

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23

Filion, Fern L. The Importance of wildlife to Canadians: An executive overview of the recreational economic significance of wildlife. Ottawa, Ont: Environment Canada, Canadian Wildlife Service, 1985.

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24

Jacquemot, A. The importance of wildlife to Canadians: The recreational economic significance of wildlife. [Ottowa, Ont.]: Canadian Wildife Service, Environment Canada, 1986.

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25

Olson, Gary S. The Michigan economy and state budget, FY 1994-95 to FY 2003-04: Ten years of significant changes. Lansing, Mich: Senate Fiscal Agency, 2005.

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26

Sri Lanka. Ministry of Environment. The study of economic significance of coastal region of Sri Lanka in the context of environmental changes of pre and post Tsunami. Battaramulla: Ministry of Environment, 2008.

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27

Office, General Accounting. 2000 census: Significant increase in cost per housing unit compared to 1990 census : report to congressional requesters. Washington, D.C. (P.O. Box 37050, Washington 20013): GAO, 2001.

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28

Statistical Significance. SAGE Publications, Limited, 2019.

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29

Haig, Brian D. Tests of Statistical Significance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0003.

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Chapter 3 provides a brief overview of null hypothesis significance testing and points out its primary defects. It then outlines the neo-Fisherian account of tests of statistical significance, along with a second option contained in the philosophy of statistics known as the error-statistical philosophy, both of which are defensible. Tests of statistical significance are the most widely used means for evaluating hypotheses and theories in psychology. A massive critical literature has developed in psychology, and the behavioral sciences more generally, regarding the worth of these tests. The chapter provides a list of important lessons learned from the ongoing debates about tests of significance.
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30

Chow, Siu L. Statistical Significance: Rationale, Validity and Unity. Altamira Pr, 1997.

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31

Chow, Siu L. Statistical Significance: Rationale, Validity and Utility (Introducing Statistical Methods series). Sage Publications Ltd, 1997.

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32

Chow, Siu L. Statistical Significance: Rationale, Validity and Utility (Introducing Statistical Methods series). Sage Publications Ltd, 1997.

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33

(Editor), Denton Morrison, and Ramon Henkel (Editor), eds. The Significance Test Controversy: A Reader. Aldine Transaction, 2006.

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34

E, Morrison Denton, and Henkel Ramon E. 1931-, eds. The significance test controversy: A reader. New Brunswick, N.J: AldineTransaction, 2006.

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35

Jian, Zhang. Statistical significance publication bias: Its determination and statistical adjustments in meta-analysis. 1993.

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36

1939-, Wyss Max, Shimazaki K. 1946-, and Ito Akihiko, eds. Seismicity patterns, their statistical significance and physical meaning. Basel: Birkhäuser Verlag, 1999.

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37

Mohr, Lawrence B. Understanding Significance Testing (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 1990.

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38

1951-, Harlow Lisa Lavoie, Mulaik Stanley A. 1935-, and Steiger James H, eds. What if there were no significance tests? Mahwah, N.J: Lawrence Erlbaum Associates Publishers, 1997.

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39

Harlow, Lisa L., Stanley A. Mulaik, and James H. Steiger. What If There Were No Significance Tests?: Classic Edition. Taylor & Francis Group, 2016.

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40

What If There Were No Significance Tests?: Classic Edition. Taylor & Francis Group, 2016.

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41

The Significance Test Controversy Revisited: The Fiducial Bayesian Alternative. Lecoutre Bruno, 2014.

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42

Henry, Rouanet, ed. New ways in statistical methodology: From significance tests to Bayesian inference. Bern: P. Lang, 1998.

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43

Seismicity Patterns, their Statistical Significance and Physical Meaning (Pageoph Topical Volumes). Birkhäuser Basel, 1999.

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44

Ziliak, Steve, and Deirdre N. McCloskey. The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives (Economics, Cognition, and Society). University of Michigan Press, 2008.

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45

The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives. Ann Arbor, USA: University of Michigan Press, 2008.

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46

(Editor), Henry Rouanet, Jean-Marc Bernard (Editor), Marie-Claude Bert (Editor), Burno Lecoutre (Editor), Marie-Paule Lecoutre (Editor), Brigitte Le Roux (Editor), and Patrick Suppes (Introduction), eds. New Ways in Statistical Methodology: From Significance Tests to Bayesian Inference (Europaische Hochschulschriften Reihe VI, Psychologie). Peter Lang Publishing, 1998.

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47

O'Gorman, Thomas W. Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals (ASA-SIAM Series on Statistics and Applied Probability). Society for Industrial Mathematics, 1987.

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48

Roux, Brigitte Le, Jean-Marc Bernard, and Henry Rouanet. New Ways in Statistical Methodology: From Significance Tests to Bayesian Inference (European University Studies. Series VI, Psychology). Peter Lang Publishing, 1998.

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49

McCleary, Richard, David McDowall, and Bradley J. Bartos. Statistical Conclusion Validity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0006.

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Chapter 6 addresses the sub-category of internal validity defined by Shadish et al., as statistical conclusion validity, or “validity of inferences about the correlation (covariance) between treatment and outcome.” The common threats to statistical conclusion validity can arise, or become plausible through either model misspecification or through hypothesis testing. The risk of a serious model misspecification is inversely proportional to the length of the time series, for example, and so is the risk of mistating the Type I and Type II error rates. Threats to statistical conclusion validity arise from the classical and modern hybrid significance testing structures, the serious threats that weigh heavily in p-value tests are shown to be undefined in Beyesian tests. While the particularly vexing threats raised by modern null hypothesis testing are resolved through the elimination of the modern null hypothesis test, threats to statistical conclusion validity would inevitably persist and new threats would arise.
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50

New Ways In Statistical Methodology: From Significance Tests To Bayesian Inference (Europaische Hochschulschriften. Reihe VI, Psychologie, Bd. 618.). 2nd ed. Peter Lang Publishing, 2000.

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