Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Business and Public Administration at Drake University. He can be contacted at: raymond.hubbard@drake.eduIn marketing journals and market research textbooks, two concepts of statistical significance - p values and α levels - are commonly mixed together. This is unfortunate because they each have completely different interpretations. The upshot is that many investigators are confused over the meaning of statistical significance. We explain how this confusion has arisen and make several suggestions to teachers and researchers about how to overcome it. © 2006 Sage Publications
The three commentators on my paper agree that statistical tests are often improperly used by researc...
A large national sample of U.S. adults (n > 1,000) was queried regarding their interpretation of ...
The controversy about statistical significance vs. scientific relevance is more than 100 years old. ...
Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Busi...
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
The Neyman–Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
The research methodology literature in recent years has included a full frontal assault on statistic...
“The Significance of Statistical Significance” reviews THE CULT OF STATISTICAL SIGNIFICANCE How the ...
One challenge when communicating science to practitioners and the general public is accurately repre...
The use of significance tests in science has been debated from the invention of these tests until th...
This study analyzes the role of statistical significance testing (SST) in education. Although the ba...
Statistical significance (or hypothesis) tests, and the related concept of p-values, are popular too...
Quantitative results from empirical studies are common in the field of Scholarship of Teaching and L...
Many of the numbers used to assess students are statistical in nature. The theoretical context under...
In the present essay, the first in a short cycle, the author reviews and comments on the problems st...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
A large national sample of U.S. adults (n > 1,000) was queried regarding their interpretation of ...
The controversy about statistical significance vs. scientific relevance is more than 100 years old. ...
Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Busi...
The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
The Neyman–Pearson theory of hypothesis testing, with the Type I error rate, α, as the significance ...
The research methodology literature in recent years has included a full frontal assault on statistic...
“The Significance of Statistical Significance” reviews THE CULT OF STATISTICAL SIGNIFICANCE How the ...
One challenge when communicating science to practitioners and the general public is accurately repre...
The use of significance tests in science has been debated from the invention of these tests until th...
This study analyzes the role of statistical significance testing (SST) in education. Although the ba...
Statistical significance (or hypothesis) tests, and the related concept of p-values, are popular too...
Quantitative results from empirical studies are common in the field of Scholarship of Teaching and L...
Many of the numbers used to assess students are statistical in nature. The theoretical context under...
In the present essay, the first in a short cycle, the author reviews and comments on the problems st...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
A large national sample of U.S. adults (n > 1,000) was queried regarding their interpretation of ...
The controversy about statistical significance vs. scientific relevance is more than 100 years old. ...