| Title |
Cross-Situational Self-Consistency in Nine Cultures: The Importance of Separating Influences of Social Norms and Distinctive Dispositions
|
|---|---|
| Published in |
Personality and Social Psychology Bulletin, May 2017
|
| DOI | 10.1177/0146167217704192 |
| Pubmed ID | |
| Authors |
Kenneth D. Locke, A. Timothy Church, Khairul A. Mastor, Guy J. Curtis, Pamela Sadler, Kelly McDonald, José de Jesús Vargas-Flores, Joselina Ibáñez-Reyes, Hiroaki Morio, Jose Alberto S. Reyes, Helena F. Cabrera, Rina Mazuera Arias, Brigida Carolina Rincon, Neida Coromoto Albornoz Arias, Arturo Muñoz, Fernando A. Ortiz |
| Abstract |
We assessed self-consistency (expressing similar traits in different situations) by having undergraduates in the United States ( n = 230), Australia ( n = 220), Canada ( n = 240), Ecuador ( n = 101), Mexico ( n = 209), Venezuela ( n = 209), Japan ( n = 178), Malaysia ( n = 254), and the Philippines ( n = 241) report the traits they expressed in four different social situations. Self-consistency was positively associated with age, well-being, living in Latin America, and not living in Japan; however, each of these variables showed a unique pattern of associations with various psychologically distinct sources of raw self-consistency, including cross-situationally consistent social norms and injunctions. For example, low consistency between injunctive norms and trait expressions fully explained the low self-consistency in Japan. In accord with trait theory, after removing normative and injunctive sources of consistency, there remained robust distinctive noninjunctive self-consistency (reflecting individuating personality dispositions) in every country, including Japan. The results highlight how clarifying the determinants and implications of self-consistency requires differentiating its distinctive, injunctive, and noninjunctive components. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Professor > Associate Professor | 5 | 12% |
| Professor | 4 | 9% |
| Researcher | 4 | 9% |
| Lecturer | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 44% |
| Social Sciences | 5 | 12% |
| Business, Management and Accounting | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Arts and Humanities | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 8 | 19% |