Results 231 to 240 of about 120,829 (277)

Null Hypothesis Significance Testing

Accountability in Research
Barry H Cohen
exaly   +4 more sources

Controversies Regarding Null Hypothesis Significance Testing

2022
Brian P O'Connor
exaly   +2 more sources

Power Analysis for Null Hypothesis Significance Testing

Clinical Spine Surgery, 2020
Before conducting a scientific study, a power analysis is performed to determine the sample size required to test an effect within allowable probabilities of Type I error (α) or Type II error (β). The power of a study is related to Type II error by 1−β. Most scientific studies set α=0.05 and power=0.80 as minimums.
Kristen J, Nicholson, Ariana A, Reyes, Matthew, Sherman, Srikanth N, Divi, Alex R, Vaccaro   +4 more
openaire   +2 more sources

A Test of the Null Hypothesis Significance Testing Procedure Correlation Argument

The Journal of General Psychology, 2009
Some supporters of the null hypothesis significance testing procedure recognize that the logic on which it depends is invalid because it only produces the probability of the data if given the null hypothesis and not the probability of the null hypothesis if given the data (e.g., J. Krueger, 2001).
David, Trafimow, Stephen, Rice
openaire   +2 more sources

The researcher and the consultant: a dialogue on null hypothesis significance testing

European Journal of Epidemiology, 2013
Since its introduction, null hypothesis significance testing (NHST) has caused much debate. Many publications on common misunderstandings have appeared. Despite the many cautions, NHST remains one of the most prevalent, misused and abused statistical procedures in the biomedical literature.
Andreas, Stang, Charles, Poole
openaire   +2 more sources

On the Past and Future of Null Hypothesis Significance Testing

The Journal of Wildlife Management, 2002
Recent criticisms of null hypothesis significance testing (NHST) have appeared in wildlife research journals (Cherry 1998; Johnson 1999; Anderson et al. 2000, 2001; Guthery et al. 2001). In this essay, we discuss these criticisms with regard to both current usage of NHST and plausible future use.
Daniel H. Robinson, Howard Wainer
openaire   +1 more source

The Insignificance of Null Hypothesis Significance Testing

Political Research Quarterly, 1999
The current method of hypothesis testing in the social sciences is under intense criticism, yet most political scientists are unaware of the important issues being raised. Criticisms focus on the construction and interpretation of a procedure that has dominated the reporting of empirical results for over fifty years.
openaire   +1 more source

Complementing the P-value from null-hypothesis significance testing with a Bayes factor from null-hypothesis Bayesian testing

Nurse Researcher, 2020
Classical frequentist statistics, including null-hypothesis significance testing (NHST), dominates nursing and medical research analysis. However, there is increasing recognition that null-hypothesis Bayesian testing (NHBT) merits inclusion in healthcare research analysis.To recommend that researchers complement the P-value from NHST with a Bayes ...
Helen Evelyn, Malone, Imelda, Coyne
openaire   +2 more sources