Results 91 to 100 of about 1,892 (168)

NHST is neither Fisher nor Neyman-Pearson

, 2015
Comment on Heather's (2014, doi 10.3389/fpsyt.2014.00085) article.
openaire   +1 more source

Diagnosing the Misuse of the Bayes Factor in Applied Research

Advances in Methods and Practices in Psychological Science
Hypothesis testing is often used for inference in the social sciences. In particular, null hypothesis significance testing (NHST) and its p value have been ubiquitous in published research for decades. Much more recently, null hypothesis Bayesian testing
Jorge N. Tendeiro, Henk A. L. Kiers, Rink Hoekstra, Tsz Keung Wong, Richard D. Morey   +4 more
doaj   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Risk factors for preterm birth and its effect on neonatal mortality in India: evidence from the National Health Family Survey-5

Discover Public Health
Objectives Worldwide, preterm birth is a major contributor to under-five mortality and neonatal mortality. This study aimed to determine the patterns, and sub-national variations of preterm birth in India and identify factors associated with it ...
Priyanka Dixit, Mrigesh Bhatia, Charusheela Bhatia, Laxmi Kant Dwivedi, Saurabh Singh   +4 more
doaj   +1 more source

Issues in significance testing

, 2009
Null Hypothesis Significance Testing (NHST) is a well known tool in statistical inference. NHST has a wide potential applicability in experimental research, for instance in treatment of outlying observations.
D'ERRICO, GIAMPAOLO EUGENIO
core   +1 more source

Evaluating statistical difference, equivalence, and indeterminacy using inferential confidence intervals: An integrated alternative method of conducting null hypothesis statistical tests

, 2001
Null hypothesis statistical testing (NHST) has been debated extensively but always successfully defended. The technical merits of NHST are not disputed in this article.
Tryon, Warren W, Warren W. Tryon
core   +1 more source

The Null hypothesis Significance Test:time for a paradigm shift

, 2020
De nulhypothese-significantie toets (NHST) is binnen de empirische wetenschappen de standaard procedure om conclusies te trekken over bevindingen. Ondanks het feit dat deze methode vele beperkingen kent, is het gebruik ervan alomtegenwoordig.
de Boer, Michiel; id_orcid, Stunt, Jonáh; id_orcid   +1 more
core   +1 more source

0161 Insomnia Severity is Associated with Positive and Negative Affect: NHST and Bayesian Multilevel Approaches [PDF]

Sleep, 2019
Sarah N Price, Caroline Y Doyle, Melissa Flores, Daniel J Taylor, Jessica R Dietch, Chul Ahn, Matthew Allison, Timothy W Smith, Joshua W Smyth, Bert N Uchino, John M Ruiz   +10 more
openaire   +1 more source

The Rise of Null Hypothesis Significance Testing (NHST): Institutional Massification and the Emergence of a Procedural Epistemology

29 pages, 6 figures.
openaire   +2 more sources

Frequentist, Bayesian Analysis and Complementary Statistical Tools for Geriatric and Rehabilitation Fields: Are Traditional Null-Hypothesis Significance Testing Methods Sufficient?

Clinical Interventions in Aging
Dahan da Cunha Nascimento,1,* Nicholas Rolnick,2,* Isabella da Silva Almeida,3,* Gerson Cipriano Junior,4,* João Luiz Durigan3,* 1Physical Education Department, Universidade Católica de Brasília, Brasília, DF, Brazil; 2The Human ...
Nascimento DDC, Rolnick N, da Silva Almeida I, Cipriano Junior G, Durigan JL   +4 more
doaj