{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T01:44:48Z","timestamp":1774662288331,"version":"3.50.1"},"reference-count":77,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[1999,9,1]],"date-time":"1999-09-01T00:00:00Z","timestamp":936144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Political Research Quarterly"],"published-print":{"date-parts":[[1999,9]]},"abstract":"<jats:p> The current method of hypothesis testing in the social sciences is under intense criticism, yet most political scientists are unaware of the important issues being raised. Criticisms focus on the construction and interpretation of a procedure that has dominated the reporting of empirical results for over fifty years. There is evidence that null hypothesis significance testing as practiced in political science is deeply flawed and widely misunderstood. This is important since most empirical work argues the value of findings through the use of the null hypothesis significance test. In this article I review the history of the null hypothesis significance testing paradigm in the social sciences and discuss major problems, some of which are logical inconsistencies while others are more interpretive in nature. I suggest alter native techniques to convey effectively the importance of data-analytic findings. These recommendations are illustrated with examples using empirical political science publications. <\/jats:p>","DOI":"10.1177\/106591299905200309","type":"journal-article","created":{"date-parts":[[2007,1,5]],"date-time":"2007-01-05T09:11:24Z","timestamp":1167988284000},"page":"647-674","source":"Crossref","is-referenced-by-count":219,"title":["The Insignificance of Null Hypothesis Significance Testing"],"prefix":"10.1177","volume":"52","author":[{"given":"Jeff","family":"Gill","sequence":"first","affiliation":[{"name":"California Polytechnic State University"}]}],"member":"179","published-online":{"date-parts":[[1999,9,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1037\/h0020412"},{"key":"atypb2","volume-title":"Comparative Statistical Inference","author":"Barnett, Vic","year":"1973"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-4286-2"},{"key":"atypb4","volume-title":"Robustness of Bayesian Analysis","author":"Berger, James 0","year":"1984"},{"key":"atypb5","first-page":"133","volume":"12","author":"Berger, James O.","year":"1997","journal-title":"Statistical Science"},{"key":"atypb6","first-page":"112","volume":"82","author":"Berger, James O.","year":"1987","journal-title":"Journal of the American Statistical Society"},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1984.10478077"},{"key":"atypb8","volume-title":"A Handbook for Data Analysis in the Behavioral Sciences: Methodological Issues","author":"Brenner-Golumb, Nancy","year":"1993"},{"key":"atypb9","volume-title":"Bayesian Inference in Statistical Analy sis","author":"Box, George E. 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