In this commentary, I argue why we should stop engaging in null hypothesis statistical significance testing altogether. Artificial and misleading it may be, but we know how to play the p value threshold and null hypothesis-testing game. We feel secure; we love the certainty. The fly in the ointment is that the conventions have led to questionable research practices. Wasserstein, Schirm, & Lazar (Am Stat 73(sup1):1–19, 2019. https://doi.org/10.1080/00031305.2019.1583913) explain why, in their thought-provoking editorial introducing a special issue of The American Statistician: “As ‘statistical significance’ is used less, statistical thinking will be used more.” Perhaps we empirical researchers can together find a way to work ourselves out of...
The objective of this research perspectives article is to promote policy change among journals, scho...
While the common procedure of statistical significance testing and its accompanying concept of p-val...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
The controversy about statistical significance vs. scientific relevance is more than 100 years old. ...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
A paradigm shift away from null hypothesis significance testing seems in progress. Based on simulati...
While the common procedure of statistical significance testing and its accompanying concept of p-val...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
In this chapter, we review some current controversies in statistics and measurement and suggest what...
Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last ...
The objective of this research perspectives article is to promote policy change among journals, scho...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
The objective of this research perspectives article is to promote policy change among journals, scho...
While the common procedure of statistical significance testing and its accompanying concept of p-val...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
The controversy about statistical significance vs. scientific relevance is more than 100 years old. ...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
A paradigm shift away from null hypothesis significance testing seems in progress. Based on simulati...
While the common procedure of statistical significance testing and its accompanying concept of p-val...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
In this chapter, we review some current controversies in statistics and measurement and suggest what...
Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last ...
The objective of this research perspectives article is to promote policy change among journals, scho...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
The objective of this research perspectives article is to promote policy change among journals, scho...
While the common procedure of statistical significance testing and its accompanying concept of p-val...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...