The call for evidenced-based policies in the field of education has prompted the encouragement of a greater reliance on experimental designs. Without an awareness of the limitations of Null Hypothesis Statistical Testing (NHST), these changes will likely fail in making educational research more influential. NHST does not yield practical information. Researchers and educators must work together to develop theory that is meaningful and practical that can be tested and replicated over time. The purpose of this article is to revisit the limitations of NHST while explaining how these limitations are important to practitioners
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
Null hypothesis significance testing (NHST) text was once widely popular and almost systematically u...
The research methodology literature in recent years has included a full frontal assault on statistic...
The call for evidenced-based policies in the field of education has prompted the encouragement of a ...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Null Hypothesis Significance Testing (NHST) is reviewed in a historical context. The most vocal crit...
Background Despite regular criticisms of null hypothesis significance testing (NHST), a focus on tes...
textabstractIn the longer term null hypothesis significance testing (NHST) will disappear because p-...
In the longer term null hypothesis significance testing (NHST) will disappear because p-values are n...
Quantitative results from empirical studies are common in the field of Scholarship of Teaching and L...
Despite regular criticisms of null hypothesis significance testing (NHST), a focus on testing persis...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
This study analyzes the role of statistical significance testing (SST) in education. Although the ba...
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
Null hypothesis significance testing (NHST) text was once widely popular and almost systematically u...
The research methodology literature in recent years has included a full frontal assault on statistic...
The call for evidenced-based policies in the field of education has prompted the encouragement of a ...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Null Hypothesis Significance Testing (NHST) is reviewed in a historical context. The most vocal crit...
Background Despite regular criticisms of null hypothesis significance testing (NHST), a focus on tes...
textabstractIn the longer term null hypothesis significance testing (NHST) will disappear because p-...
In the longer term null hypothesis significance testing (NHST) will disappear because p-values are n...
Quantitative results from empirical studies are common in the field of Scholarship of Teaching and L...
Despite regular criticisms of null hypothesis significance testing (NHST), a focus on testing persis...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
This study analyzes the role of statistical significance testing (SST) in education. Although the ba...
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
Null hypothesis significance testing (NHST) text was once widely popular and almost systematically u...
The research methodology literature in recent years has included a full frontal assault on statistic...