SciELO - Scientific Electronic Library Online

 
vol.45 número1Interference between work and nonwork roles: the development of a new South African instrument índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Em processo de indexaçãoSimilares em Google

Compartilhar


SA Journal of Industrial Psychology

versão On-line ISSN 2071-0763
versão impressa ISSN 0258-5200

Resumo

MURPHY, Kevin R.. Reducing our dependence on null hypothesis testing: A key to enhance the reproducibility and credibility of our science. SA j. ind. Psychol. [online]. 2019, vol.45, n.1, pp.1-4. ISSN 2071-0763.  http://dx.doi.org/10.4102/sajip.v45i0.1717.

PROBLEMIFICATION: Over-reliance on null hypothesis significance testing (NHST) is one of the most important causes of the emerging crisis over the credibility and reproducibility of our scienceIMPLICATIONS: Most studies in the behavioural and social sciences have low levels of statistical power. Because 'significant' results are often required, but often difficult to produce, the temptation to engage in questionable research practices that will produce these results is immensePURPOSE: Methodologists have been trying for decades to convince researchers, reviewers and editors that significance tests are neither informative nor useful. A recent set of articles published in top journals and endorsed by hundreds of scientists around the world seem to provide a fresh impetus for overturning the practice of using NHST as the primary, and sometimes sole basis for evaluating research resultsRECOMMENDATIONS: Authors, reviewers and journal editors are asked to change long-engrained habits and realise that 'statistically significant' says more about the design of one's study than about the importance of one's results. They are urged to embrace the ATOM principle in evaluating research results, that is, accept that there will always be uncertainty, and be thoughtful, open and modest in evaluating what the data mean

Palavras-chave : Significance Testing; Confidence Intervals; Questionable Research Practices; Null Hypothesis.

        · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons