Null Hypothesis Significance Testing is the most widely used method of analysis in social science. However, there are inherent limitations of NHST. We discuss the problems of using NHST and suggest alternative ways to solve the problems, focusing on Bayesian statistics. To supplement the limitation of NHST it has been argued that providing information regarding the effect size and confidence interval are useful. Furthermore, Bayesian statistics, which is an independent stream of study, has gained attention. We introduce the basic concept of Bayesian statistics and the application of the method in organizational research.This study was supported by the Institude of Management Research at Seoul National University
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
Psychologists have been trained to do data analysis by asking whether null values can be rejected. I...
Background Despite its popularity as an inferential framework, classical null hypoth...
Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature show...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last ...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
In management research, empirical data are often analyzed using p-value null hypothesis significance...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
There has recently been much debate about the merits of null hypothesis significance testing (NHST)....
In a recent article, Killeen (2005a) proposed an alternative to traditional null-hypothesis signific...
Considered normative from the second half of the 20th century (Danziger, 1990), null hypothesis stat...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
Psychologists have been trained to do data analysis by asking whether null values can be rejected. I...
Background Despite its popularity as an inferential framework, classical null hypoth...
Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature show...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last ...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
In management research, empirical data are often analyzed using p-value null hypothesis significance...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
There has recently been much debate about the merits of null hypothesis significance testing (NHST)....
In a recent article, Killeen (2005a) proposed an alternative to traditional null-hypothesis signific...
Considered normative from the second half of the 20th century (Danziger, 1990), null hypothesis stat...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
Psychologists have been trained to do data analysis by asking whether null values can be rejected. I...
Background Despite its popularity as an inferential framework, classical null hypoth...