Results 121 to 130 of about 1,116 (143)
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Are there benefits from NHST?

American Psychologist, 2002
Krueger’s (January 2001) thesis can be summarized as follows: Induction is central to science (true). From a philosophical perspective, induction cannot be defended logically but can be defended pragmatically— because it leads to progress in science (true).
Frank, Schmidt, John, Hunter
openaire   +2 more sources

Problems With Null Hypothesis Significance Testing (NHST): What Do the Textbooks Say?

The Journal of Experimental Education, 2002
The first of 3 objectives in this study was to address the major problem with Null Hypothesis Significance Testing (NHST) and 2 common misconceptions related to NHST that cause confusion for students and researchers. The misconcep- tions are (a) a smaller p indicates a stronger relationship and (b) statistical signifi- cance indicates practical ...
Jeffrey A. Gliner   +2 more
openaire   +1 more source

Life After NHST: How to Describe Your Data Without “p-ing” Everywhere

Basic and Applied Social Psychology, 2015
In this article we provide concrete guidance to researchers on ways that they can explore and communicate the results of their studies. Although we believe the methods we outline are important for any study, they are particularly useful for researchers who wish to avoid the null hypothesis significance testing paradigm.
Jeffrey C. Valentine   +2 more
openaire   +1 more source

I limiti dell'approccio NHST e l'alternativa Bayesiana

2009
Nella ricerca psicologica l’approccio NHST è la modalità più frequente per l’inferenza statistica. Di fatto tale metodo si riduce ad una decisione sulla significatività dei risultati basata solo sulla valutazione del p-value. In realtà il p-value non è una misura dell’evidenza statistica perché influenzato da elementi esterni quali la numerosità
openaire   +2 more sources

Diffusion and Adoption of Good Science: Overcoming the Dominant Logic of NHST and the Reporting of Rubbish

Journal of Business-to-Business Marketing, 2016
ABSTRACT Purpose: This article describes and explains the arrival of the current tipping-point in shifting from bad-to-good science. This article identifies Hubbard (2016a) as a major troublemaker in attacking the current dominant logic supporting bad science, that is, null hypothesis statistical testing (NHST) in management science.Focus: Crossing the
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The Lack of Reproducibility in Management Accounting Research: Blame It All on the NHST?

Lindsay has written an extensive, erudite, and thought-provoking piece on the dominant use of null-hypothesis significance testing (NHST) in management accounting research. He blames the research community’s excessive reliance on NHST for producing irreproducible findings.
Hartmann, F.G.H., Niederkofler, N.T.
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Detective Activity Comparing Frequentist (NHST) and Bayesian Methods: Introducing Bayesian Concepts to Students of Communication

Asian Communication Research, 2021
Sang-Yeon Kim   +3 more
openaire   +1 more source

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