Literature DB >> 10937333

Null hypothesis significance testing: a review of an old and continuing controversy.

R S Nickerson1.   

Abstract

Null hypothesis significance testing (NHST) is arguably the most widely used approach to hypothesis evaluation among behavioral and social scientists. It is also very controversial. A major concern expressed by critics is that such testing is misunderstood by many of those who use it. Several other objections to its use have also been raised. In this article the author reviews and comments on the claimed misunderstandings as well as on other criticisms of the approach, and he notes arguments that have been advanced in support of NHST. Alternatives and supplements to NHST are considered, as are several related recommendations regarding the interpretation of experimental data. The concluding opinion is that NHST is easily misunderstood and misused but that when applied with good judgment it can be an effective aid to the interpretation of experimental data.

Mesh:

Year:  2000        PMID: 10937333     DOI: 10.1037/1082-989x.5.2.241

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  103 in total

1.  What have we learned about trial design from NIMH-funded pragmatic trials?

Authors:  John March; Helena C Kraemer; Madhukar Trivedi; John Csernansky; John Davis; Terence A Ketter; Ira D Glick
Journal:  Neuropsychopharmacology       Date:  2010-08-25       Impact factor: 7.853

2.  An alternative to null-hypothesis significance tests.

Authors:  Peter R Killeen
Journal:  Psychol Sci       Date:  2005-05

3.  The (mis)reporting of statistical results in psychology journals.

Authors:  Marjan Bakker; Jelte M Wicherts
Journal:  Behav Res Methods       Date:  2011-09

4.  A practical solution to the pervasive problems of p values.

Authors:  Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2007-10

5.  Nonparametric bayes testing of changes in a response distribution with an ordinal predictor.

Authors:  Michael L Pennell; David B Dunson
Journal:  Biometrics       Date:  2007-08-30       Impact factor: 2.571

Review 6.  Advances in statistical methods for substance abuse prevention research.

Authors:  David P MacKinnon; Chondra M Lockwood
Journal:  Prev Sci       Date:  2003-09

7.  Significance, truth and proof of p values: reminders about common misconceptions regarding null hypothesis significance testing.

Authors:  Mathilde G E Verdam; Frans J Oort; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2013-05-23       Impact factor: 4.147

8.  What is the probability of replicating a statistically significant effect?

Authors:  Jeff Miller
Journal:  Psychon Bull Rev       Date:  2009-08

9.  Age at onset, course of illness and response to psychotherapy in bipolar disorder: results from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD).

Authors:  A Peters; L G Sylvia; P V da Silva Magalhães; D J Miklowitz; E Frank; M W Otto; N S Hansen; D D Dougherty; M Berk; A A Nierenberg; T Deckersbach
Journal:  Psychol Med       Date:  2014-04-10       Impact factor: 7.723

10.  Attrition and attendance in group therapy for university students: An examination of predictors across time.

Authors:  Tahira Gulamani; Amanda A Uliaszek; Carla D Chugani; Tayyab Rashid
Journal:  J Clin Psychol       Date:  2020-08-24
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