Results 21 to 30 of about 3,130,781 (258)

Current controversies: Null hypothesis significance testing

open access: yesActa Obstetricia et Gynecologica Scandinavica, 2022
Traditional null hypothesis significance testing (NHST) incorporating the critical level of significance of 0.05 has become the cornerstone of decision‐making in health care, and nowhere less so than in obstetric and gynecological research. However, such
Philip M. Sedgwick   +3 more
doaj   +1 more source

Redefine statistical significance [PDF]

open access: yesNature Human Behaviour, 2017
"We propose to change the default P-value threshold forstatistical significance for claims of new discoveries from 0.05 to 0.005."
Nyhan, Brendan   +78 more
openaire   +14 more sources

Statistical significance or clinical significance? A researcher's dilemma for appropriate interpretation of research results

open access: yesSaudi Journal of Anaesthesia, 2021
It is incredibly essential that the current clinicians and researchers remain updated with findings of current biomedical literature for evidence-based medicine.
Hunny Sharma
doaj   +1 more source

A logical analysis of null hypothesis significance testing using popular terminology

open access: yesBMC Medical Research Methodology, 2022
Background Null Hypothesis Significance Testing (NHST) has been well criticised over the years yet remains a pillar of statistical inference. Although NHST is well described in terms of statistical models, most textbooks for non-statisticians present the
Richard McNulty
doaj   +1 more source

The tyranny of the P-value: effect size matters

open access: yesPsychiatry and Clinical Psychopharmacology, 2021
Statistical significance does not necessarily imply clinical significance. A P-value of less than 0.05 does not guarantee that the result will be important. Effect size needs to be calculated in order to appraise clinical relevance.
Leslie Citrome
doaj   +1 more source

Statistical Significance and/or Effect Size? [PDF]

open access: yesRevija za Elementarno Izobraževanje, 2021
In the paper, we present some dilemmas concerning the use of statistical significance as the only measure for interpreting results and drawing conclusions. We also introduce effect size measures as a complementary measure in interpretation of the results
Tina Štemberger
doaj   +1 more source

How feasible is it to abandon statistical significance? A reflection based on a short survey

open access: yesBMC Medical Research Methodology, 2020
Background There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publications. We aimed to validate the
Fredi Alexander Diaz-Quijano   +2 more
doaj   +1 more source

Statistical significance—meaningful or not [PDF]

open access: yesLaw, Probability and Risk, 2018
Statistical tests with large sample sizes can have large power. Power is the ability to detect an effect. Detection is indicated by a result which is statistically significant. A test with large power will detect a very small effect. This very small effect may not be meaningful in the context of the analysis being conducted.
Aitken, Colin, Wilson, Amy, Sleeman, R.
openaire   +2 more sources

Errors of Econometric Methodology in the Study of Economics Theories [PDF]

open access: yesمدلسازی اقتصادسنجی, 2020
Scientific theories are a way of knowing man. The main difference between this method and other methods is the testability of its claims. Testability helps to correct scientific knowledge of error.
Mojtaba Rostami   +3 more
doaj   +1 more source

Talking about Statistical Significance in Numeracy

open access: yesNumeracy, 2022
In recent years, much debate has surrounded the potential for audiences to be mislead by several common practices when reporting statistical significance tests. Two editors of Numeracy share the journals perspectives on these questions.
Nathan Grawe, Gizem Karaali
doaj   +1 more source

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