| Title |
How to quantify the evidence for the absence of a correlation
|
|---|---|
| Published in |
Behavior Research Methods, July 2015
|
| DOI | 10.3758/s13428-015-0593-0 |
| Pubmed ID | |
| Authors |
Eric-Jan Wagenmakers, Josine Verhagen, Alexander Ly |
| Abstract |
We present a suite of Bayes factor hypothesis tests that allow researchers to grade the decisiveness of the evidence that the data provide for the presence versus the absence of a correlation between two variables. For concreteness, we apply our methods to the recent work of Donnellan et al. (in press) who conducted nine replication studies with over 3,000 participants and failed to replicate the phenomenon that lonely people compensate for a lack of social warmth by taking warmer baths or showers. We show how the Bayes factor hypothesis test can quantify evidence in favor of the null hypothesis, and how the prior specification for the correlation coefficient can be used to define a broad range of tests that address complementary questions. Specifically, we show how the prior specification can be adjusted to create a two-sided test, a one-sided test, a sensitivity analysis, and a replication test. |
X Demographics
The data shown below were collected from the profiles of 47 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 States | 8 | 17% |
| United Kingdom | 5 | 11% |
| Netherlands | 4 | 9% |
| Germany | 4 | 9% |
| Spain | 2 | 4% |
| Finland | 1 | 2% |
| Australia | 1 | 2% |
| Senegal | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 53% |
| Scientists | 19 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| United States | 3 | 2% |
| Chile | 2 | 1% |
| France | 2 | 1% |
| United Kingdom | 2 | 1% |
| Austria | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 166 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 24% |
| Student > Master | 30 | 16% |
| Researcher | 28 | 15% |
| Professor | 13 | 7% |
| Professor > Associate Professor | 13 | 7% |
| Other | 40 | 22% |
| Unknown | 17 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 90 | 48% |
| Neuroscience | 15 | 8% |
| Medicine and Dentistry | 9 | 5% |
| Engineering | 7 | 4% |
| Computer Science | 5 | 3% |
| Other | 27 | 15% |
| Unknown | 33 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 07 June 2016.
All research outputs
#1,389,732
of 25,374,647 outputs
Outputs from Behavior Research Methods
#119
of 2,525 outputs
Outputs of similar age
#16,952
of 276,195 outputs
Outputs of similar age from Behavior Research Methods
#1
of 34 outputs
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