Title |
The Network Structure of Human Personality According to the NEO-PI-R: Matching Network Community Structure to Factor Structure
|
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Published in |
PLOS ONE, December 2012
|
DOI | 10.1371/journal.pone.0051558 |
Pubmed ID | |
Authors |
Rutger Goekoop, Jaap G. Goekoop, H. Steven Scholte |
Abstract |
Human personality is described preferentially in terms of factors (dimensions) found using factor analysis. An alternative and highly related method is network analysis, which may have several advantages over factor analytic methods. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 2% |
Germany | 1 | 2% |
Norway | 1 | 2% |
Unknown | 61 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 19% |
Student > Ph. D. Student | 11 | 17% |
Professor > Associate Professor | 7 | 11% |
Student > Bachelor | 6 | 9% |
Professor | 6 | 9% |
Other | 14 | 22% |
Unknown | 8 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 25 | 39% |
Medicine and Dentistry | 13 | 20% |
Neuroscience | 4 | 6% |
Agricultural and Biological Sciences | 3 | 5% |
Computer Science | 3 | 5% |
Other | 6 | 9% |
Unknown | 10 | 16% |