| Title |
Predictors of Response Rates to a Long Term Follow-Up Mail out Survey
|
|---|---|
| Published in |
PLOS ONE, November 2013
|
| DOI | 10.1371/journal.pone.0079179 |
| Pubmed ID | |
| Authors |
Natasha A. Koloski, Michael Jones, Guy Eslick, Nicholas J. Talley |
| Abstract |
Very little is known about predictors of response rates to long-term follow-up mail-out surveys, including whether the timing of an incentive affects response rates. We aimed to determine whether the timing of the incentive affects response rates and what baseline demographic and psychological factors predict response rates to a 12 year follow-up survey. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 20% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Librarian | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 20% |
| Psychology | 6 | 17% |
| Social Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |