| Title |
SNOOP: A program for demonstrating the consequences of premature and repeated null hypothesis testing
|
|---|---|
| Published in |
Behavior Research Methods, February 2006
|
| DOI | 10.3758/bf03192746 |
| Pubmed ID | |
| Authors |
Michael J Strube |
| Abstract |
The ease with which data can be collected and analyzed via personal computer makes it potentially attractive to "peek" at the data before a target sample size is achieved. This tactic might seem appealing because data collection could be stopped early, which would save valuable resources, if a peek revealed a significant effect. Unfortunately, such data snooping comes with a cost. When the null hypothesis is true, the Type I error rate is inflated, sometimes quite substantially. If the null hypothesis is false, premature significance testing leads to inflated estimates of power and effect size. This program provides simulation results for a wide variety of premature and repeated null hypothesis testing scenarios. It gives researchers the ability to know in advance the consequences of data peeking so that appropriate corrective action can be taken. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 43% |
| United States | 2 | 29% |
| Australia | 1 | 14% |
| Japan | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 1% |
| India | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 70 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 16 | 21% |
| Professor > Associate Professor | 6 | 8% |
| Professor | 5 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 34 | 45% |
| Medicine and Dentistry | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Social Sciences | 4 | 5% |
| Neuroscience | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2018.
All research outputs
#1,306,672
of 25,374,917 outputs
Outputs from Behavior Research Methods
#112
of 2,525 outputs
Outputs of similar age
#3,227
of 170,241 outputs
Outputs of similar age from Behavior Research Methods
#3
of 6 outputs
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