Title |
Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing
|
---|---|
Published in |
Frontiers in Psychology, March 2015
|
DOI | 10.3389/fpsyg.2015.00223 |
Pubmed ID | |
Authors |
Jose D. Perezgonzalez |
Abstract |
Despite frequent calls for the overhaul of null hypothesis significance testing (NHST), this controversial procedure remains ubiquitous in behavioral, social and biomedical teaching and research. Little change seems possible once the procedure becomes well ingrained in the minds and current practice of researchers; thus, the optimal opportunity for such change is at the time the procedure is taught, be this at undergraduate or at postgraduate levels. This paper presents a tutorial for the teaching of data testing procedures, often referred to as hypothesis testing theories. The first procedure introduced is Fisher's approach to data testing-tests of significance; the second is Neyman-Pearson's approach-tests of acceptance; the final procedure is the incongruent combination of the previous two theories into the current approach-NSHT. For those researchers sticking with the latter, two compromise solutions on how to improve NHST conclude the tutorial. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 23% |
United Kingdom | 9 | 11% |
Spain | 3 | 4% |
Netherlands | 3 | 4% |
Brazil | 2 | 2% |
Canada | 2 | 2% |
New Zealand | 2 | 2% |
Switzerland | 2 | 2% |
India | 2 | 2% |
Other | 8 | 10% |
Unknown | 30 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 51 | 62% |
Scientists | 23 | 28% |
Science communicators (journalists, bloggers, editors) | 4 | 5% |
Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Unknown | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 178 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 9% |
Student > Master | 10 | 6% |
Student > Ph. D. Student | 4 | 2% |
Student > Bachelor | 4 | 2% |
Student > Postgraduate | 4 | 2% |
Other | 9 | 5% |
Unknown | 131 | 74% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 12 | 7% |
Agricultural and Biological Sciences | 7 | 4% |
Neuroscience | 5 | 3% |
Engineering | 4 | 2% |
Medicine and Dentistry | 3 | 2% |
Other | 12 | 7% |
Unknown | 135 | 76% |