We review the recent debate on the lack of reliability of scientific results and its connections to the statistical methodologies at the core of the discovery paradigm. Null hypotheses statistical testing, in particular, has often been related to, if not blamed for, the present situation. We argue that a loose relation exists: although NHST, if properly used, could not be seen as a cause, some common misuses may mask or even favour bad practices leading to the lack of reliability. We discuss various proposals which have been put forward to deal with these issues
The debate on the use and misuse of P values has risen and fallen throughout their almost century-lo...
NHST (null hypothesis significance testing) is the most popular statistical paradigm in psychology. ...
Because of the strong overreliance on p values in the scientific literature, some researchers have a...
We review the recent debate on the lack of reliability of scientific results and its connections to ...
In the 1920s, Ronald Fisher developed the theory behind the p value and Jerzy Neyman and Egon Pearso...
International audienceReproducibility issues in science, is P value really the only answer? Johnson ...
Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are...
P -value has been criticized because it is widely misunderstood and don′t tell the researchers what ...
Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Vario...
P-values are widely used in both the social and natural sciences to quantify the statistical signifi...
Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Vario...
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...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
The debate on the use and misuse of P values has risen and fallen throughout their almost century-lo...
NHST (null hypothesis significance testing) is the most popular statistical paradigm in psychology. ...
Because of the strong overreliance on p values in the scientific literature, some researchers have a...
We review the recent debate on the lack of reliability of scientific results and its connections to ...
In the 1920s, Ronald Fisher developed the theory behind the p value and Jerzy Neyman and Egon Pearso...
International audienceReproducibility issues in science, is P value really the only answer? Johnson ...
Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are...
P -value has been criticized because it is widely misunderstood and don′t tell the researchers what ...
Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Vario...
P-values are widely used in both the social and natural sciences to quantify the statistical signifi...
Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Vario...
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...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
The debate on the use and misuse of P values has risen and fallen throughout their almost century-lo...
NHST (null hypothesis significance testing) is the most popular statistical paradigm in psychology. ...
Because of the strong overreliance on p values in the scientific literature, some researchers have a...