Siu Chow, in Statistical Significance: Rationale, Validity and Utility, has done a great service to those interested in reforming statistical practice. The indictment in the published literature of the continued reliance upon Null Hypothesis Testing (NHT) was so apparently overwhelming that one naturally wondered "Is there nothing to be said in its defence?" Worrying what an intelligent, well-informed defender of Fisherian statistics could say, we could not be sure that the case against NHT is as overwhelming as it seemed. Well, the defence is in, and the case against NHT is as overwhelming as it seemed
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
In the longer term null hypothesis significance testing (NHST) will disappear because p-values are n...
In this commentary, I argue why we should stop engaging in null hypothesis statistical significance ...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are...
Null Hypothesis Significance Testing (NHST) is reviewed in a historical context. The most vocal crit...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
What if there were no significance testing? This was the question faced by early researchers at the ...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Despite regular criticisms of null hypothesis significance testing (NHST), a focus on testing persis...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
In the longer term null hypothesis significance testing (NHST) will disappear because p-values are n...
In this commentary, I argue why we should stop engaging in null hypothesis statistical significance ...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are...
Null Hypothesis Significance Testing (NHST) is reviewed in a historical context. The most vocal crit...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
What if there were no significance testing? This was the question faced by early researchers at the ...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Despite regular criticisms of null hypothesis significance testing (NHST), a focus on testing persis...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
In the longer term null hypothesis significance testing (NHST) will disappear because p-values are n...
In this commentary, I argue why we should stop engaging in null hypothesis statistical significance ...