| Title |
Smooth criminal: convicted rule-breakers show reduced cognitive conflict during deliberate rule violations
|
|---|---|
| Published in |
Psychological Research, August 2016
|
| DOI | 10.1007/s00426-016-0798-6 |
| Pubmed ID | |
| Authors |
Aiste Jusyte, Roland Pfister, Sarah V. Mayer, Katharina A. Schwarz, Robert Wirth, Wilfried Kunde, Michael Schönenberg |
| Abstract |
Classic findings on conformity and obedience document a strong and automatic drive of human agents to follow any type of rule or social norm. At the same time, most individuals tend to violate rules on occasion, and such deliberate rule violations have recently been shown to yield cognitive conflict for the rule-breaker. These findings indicate persistent difficulty to suppress the rule representation, even though rule violations were studied in a controlled experimental setting with neither gains nor possible sanctions for violators. In the current study, we validate these findings by showing that convicted criminals, i.e., individuals with a history of habitual and severe forms of rule violations, can free themselves from such cognitive conflict in a similarly controlled laboratory task. These findings support an emerging view that aims at understanding rule violations from the perspective of the violating agent rather than from the perspective of outside observer. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Student > Bachelor | 4 | 12% |
| Lecturer | 3 | 9% |
| Professor | 2 | 6% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 14 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 32% |
| Computer Science | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 November 2016.
All research outputs
#2,063,592
of 23,577,654 outputs
Outputs from Psychological Research
#79
of 982 outputs
Outputs of similar age
#37,452
of 340,556 outputs
Outputs of similar age from Psychological Research
#3
of 14 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 91% of its peers.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.