Results 131 to 140 of about 6,626,690 (175)

The Harm Done to Reproducibility by the Culture of Null Hypothesis Significance Testing [PDF]

American Journal of Epidemiology, 2017
In the last few years, stakeholders in the scientific community have raised alarms about a perceived lack of reproducibility of scientific results. In reaction, guidelines for journals have been promulgated and grant applicants have been asked to address the rigor and reproducibility of their proposed projects.
Timothy Lash
exaly   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

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

Null Hypothesis Significance Testing

Accountability in Research
Barry H Cohen
exaly   +4 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

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

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

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

Overview of null hypothesis significance testing

2019
This chapter assesses the concepts and procedures common to all statistical tests within null hypothesis significance testing (NHST). In brief, NHST is a procedure used to make a decision about whether chance alone can account for apparent patterns in the data.
openaire   +1 more source

Null hypothesis significance testing: On the survival of a flawed method.

American Psychologist, 2001
Null hypothesis significance testing (NHST) is the researcher's workhorse for making inductive inferences. This method has often been challenged, has occasionally been defended, and has persistently been used through most of the history of scientific psychology.
openaire   +2 more sources

The Falsificationist Foundation for Null Hypothesis Significance Testing

2020
There have been many criticisms of null hypothesis significance testing (NHST), including important ones made by Dr. Hung Nguyen. The goal of this chapter is to honor Dr. Nguyen for his important scientific contributions by introducing a new argument against NHST that complements the arguments he already has made.
openaire   +1 more source