Risk taking, cultural values and beliefs: Cameroon-France comparison
Hélène Chantal Ngah Essomba*,1,2, Julien Cestac3, Edouard-Adrien Mvessomba1, Raymond Mbédé1, Patricia Delhomme3
1University of Yaoundé 1, FALSH – Faculty of Arts, Letters and Human Sciences, Department of Psychology. PO Box 337 Yaoundé, Cameroon; 2University of Paris 8, CHART Laboratory 2, rue de la liberté 93526 Saint-Denis, France; 3IFSTTAR, AME, LPC, 78000 Versailles, France
Risk-taking related to road mobility of vulnerable users can be different from one country to another, from one culture to another. Vulnerable users (pedestrians, cyclists and motorcyclists), who are those whose exterior protections are most lacking compared to drivers of cars or trucks, constitute almost half of the individuals killed in road accidents (WHO, 2015). Contexts, cultural values and beliefs are likely to play a role in risk taking (Cestac et al., 2016; Delhomme & Meyer, 1995; Kouabenan, 2007;). This research aims to compare Cameroonians to French in terms of beliefs, cultural values and motivation for protection and identify the predictors of attitude and intention to infringe the red light. It was conducted among 156 Cameroonians and 131 French using a self-assessment questionnaire. Results showed differences in beliefs, motivation for protection and cultural values. Cameroonians have a strong religiosity compared to the French. The differences observed in terms of beliefs are in line with the reflection of Ingelhart (1999) who shows that there are more beliefs in Africa than in Europe. Cameroonians have a strong religiosity compared to French. The differences observed in terms of beliefs are in line with Ingelhart’ (1999) positions who shows there are more beliefs in Africa than in Europe.
Keywords: culture, beliefs, Cameroon, France, risk taking, vulnerable users.
How to cite this article:
Hélène Chantal Ngah Essomba, Julien Cestac, Edouard-Adrien Mvessomba, Raymond Mbédé, Patricia Delhomme. Risk taking, cultural values and beliefs: Cameroon-France comparison. International Journal of Psychological Research and Reviews, 2022, 5:56. DOI: 10.28933/ijprr-2022-01-1605
References
1. Ajzen, I. (1985). From intention to actions: A theory of planned behavior. In J. Khul, & J. Beckman, (Eds). Action Control: From Cognition to Behavior (Pp.11-39). Heidelberg: Springer.
2. Ajzen, I. (2011). The theory of planned behavior: reactions and reflections. Psychology Health 26 (9), 1113–1127.
3. Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behavior: A meta-analytic review. British Journal of Social Psychology, 40, 471–499.
4. Andrew Smith, R., & Biddle, S.J.H. (1999). Attitudes and exercise adherence: Test of the Theories of Reasoned Action and Planned Behavior. Journal of Sports Sciences, 17(4), 269-281. doi: 10.1080/026404199365993
5. Assailly, J.P. (2010). La psychologie du risque. Lavoisier, Collection Sciences du Risque et de la Décision.
6. Åberg, L., & Warner, H. (2008). Speeding-deliberate violation or involuntary mistake? [Excès de vitesse-violation délibérée ou erreur involontaire ?]. European Review Of Applied Psychology, 58(1), 23-30, doi: 10, 1016/j,erap,2005,09,014.
7. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215
8. Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
9. Becker, M.H., & Rosenstock, I.M. (1987). Comparing social learning theory and the health belief model. In W.B. Ward, (Ed.). Advances in Health Education and Promotion (Pp.245-249). Greenwich, CT: JAI Press.
10. Bronfenbrenner, K., Friedman, S., Hurd, R.W., Oswald, R.A., & Seeber, R.L. (1998). Introduction [Electronic version]. In K. Bronfenbrenner, S. Friedman, R.W. Hurd, R.A. Oswald, & R.L. Seeber (Eds.), Organizing to win: New research on union strategies (Pp. 1-15). Ithaca, NY: ILR Press.
11. Benthin A, Slovic P., & Severson, H. (1993). A psychometric study of adolescent risk perception. Journal of Adolescence, 16, 153–168.
12. Cestac, J., & Assailly, J.-P. (2015). Culture and risk behaviors. In A. Columbus (Ed.). Advances in Psychology Research, vol. 111. (Pp.81-103). New York: Nova Science.
13. Chan, C.N.D., Wu, A.M.S. & Hung, E.P.W. (2010). Invulnerability and the intention to drink and drive: An application of the theory of planned behavior. Accident analysis and prevention. Elsevier, 42, 1549-1555.
14. Chudry, F., Foxall, G., & Pallister, J. (2011). Exploring Attitudes and Predicting Intentions: Profiling Student Debtors Using an Extended Theory of Planned Behavior. Journal of Applied Social Psychology, 41(1), 119-149.
15. Conner, M., Lawton, R., Parker, D., Chorlton, K., Manstead, A.S.R., & Stradling, S. (2007). Application of the Theory of Planned Behaviour to the prediction of objectively assessed breaking of posted speed limits. British Journal of Psychology, 98, 429–453.
16. Cohen, J. (1988). Statistical power analysis for the behavioral sciences, Hillsdale, Erlbaum. Condition de Travail, 5, 7-27.
17. Casey, B. J., Giedd, J.N., & Thomas, K.M. (2000). Structural and functional brain development and its relation to cognitive development. Biological Psychology, 54(1-3), 241-257.
18. Deconchy, J.-P., & Hurteau, C. (1998). Non-contrôle cognitif (learned helplessness), épuisement cognitif et recours à des explications “irrationnelles”. In J.L. Beauvois, R.V. Joule et J.M. Monteil (Eds.). Perspectives cognitives et conduites sociales (Pp. 103-126). Lausanne, France : Delachaux et Niestlé.
19. Dejoy, D.M. (1996). Theoritical model of health behaviour and work-place self protective behaviour. Journal of Safety Research, 54, 343-355.
20. Delhomme, P., & Meyer, T. (1995). Évaluation de ses propres comportements de conduite : effet sur le contrôle subjectif et la régulation de l’activité (Rapport no 200). Arcueil : Institut national de recherche sur les transports et leur sécurité.
21. Duggan, P.M., Lapsley, D.K., & Norman, K. (2000). Adolescent invulnerability and personal uniqueness: Scale development and initial construct validation. Paper presented at the 8th Biennial Meeting of the Society for Research on Adolescence, Chicago, Illinois.
22. Elliot, M., Armitage, C., & Baughan, C. (2003). Drivers’ compliance with speed limits: An application of the theory of planned behavior. Journal of applied psychology, 88(5), 964 – 972.
23. Eagly, A.H., & Chaiken, S. (1993). The Psychology of Attitudes. New-York, NY: Harcourt Brace, Jovanovich.
24. Forward, S. (2009). Theory of planned behavior: the role of descriptive norms and past behavior in the predicting of drivers’ intention to violate. Traffic psychology and behavior, 12(3), 198 – 207.
25. Goggin, K, Malcarne, V.L., Murray, T.S., Metcalf, K.A., & Wallston, K.A. (2007). Do religious and control cognitions predict risky behavior? II. Development and validation of the Sexual Risk Behavior-related God Locus of Control Scale for adolescents (SexGLOC-A). Cognitive Therapy and Research, 31, 123-139.
26. Granet, P. (2014). Religions traditionnelles africaines. Serpent Libertaire.
27. Hebert Martinez, K.L., & Porter, B.E. (2006). Characterizing red light runners following implementation of a photo enforcement program. Accident Analysis and Prevention, 38(5), 862-870.
28. Inglehart, R. (1999). Choc des civilisations ou modernisation culturelle du monde? Le Débat, n°105, mai-août.
29. Jonah, B. A. (1986). Accident risk and risk-taking behaviour among young drivers. Accident Analysis and Prevention, 18, 255-271.
30. Konecni, V.J., Ebbesen, E.B., & Konecni, D.K. (1976). Decision processes and risk-taking in traffic: Driver response to the onset of yellow light. Journal of Applied Psychology, 61, 59–67.
31. Kouabenan, D.R. (1999). Explication naïve de l’accident et prévention. Paris: Presses Universitaires de France.
32. Kouabenan, D.R. (2007). Incertitude, croyances et management de la sécurité. Le Travail Humain, 70(3), 271- 287.DOI 10.3917/th.703.0271.
33. Letirand, F., & Delhomme, P. (2005). Speed behaviour as a choice between observing and exceeding the speed limit. Psychology and Behavior, 8(6), 481–492.
34. Marwell, G., Aiken, M.T., & Demerath, N.J. (1987). The persistence of political attitudes among 1960s civil rights activists. Public Opinion Quartertly, 51, 359-375.
35. Matthews, M., & Moran, A. (1986). Age differences in male drivers’ perception of accident risk: The role of perceived driving ability. Accident Analysis and Prevention, 18(4), 229- 313.
36. Magnusson, D., & Stattin, H. (1998). Person-context interaction theories. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Theoretical models of human development (Pp. 685-759). New York, NY: John Wiley & Sons.
37. Manstead, A.S.R., Parker, D., Stradling, S.G., & Lawton, R. (1996). Adding affect to the theory of planned behavior’. Paper based on the research report for the United Kingdom Department of Transport, London.
38. Ngah Essomba, H. C., Mvessomba, A. E., Cestac, J. Mbédé, R. & Delhomme, P. (2020). Perception et prise de risque routier chez les usagers vulnérables du Cameroun et de la France : une étude qualitative. Revue Camerounaise de Psychologie, 01(4), 16-40.
39. Ngah Essomba, H. C., Cestac, J., Mvessomba, A. E., Mbédé, R. & Delhomme, P. (2021). Comparaison cameroun-france sur le plan de l’invulnerabilite au danger et de l’attitude envers le risque routier. Revue Camerounaise de Psychologie, 02, 68-101.
40. ONISR. (2009). Observatoire Nationale Interministériel de la sécurité routière. La sécurité routière en France, Bilan de l’année 2008. Documentation française.
41. Parker, D., Manstead, A.S.R., Stradling, S.G., Reason, J.T & Baxter, J.S. (1992). Intention to commit driving violations: an application of the theory of planned behaviour. Journal of Applied Psychology, 77(1), 94-101.
42. Peltzer, K., & Renner, W. (2003). Superstition, risk-taking and risk perception of accidents among South African taxi drivers. Accident Analysis and Prevention, 35, 619-623.
43. Pelz, D.C. (1971). “Driving ‘immunization” in alienated young men.” Human Factors, 18, 465-476.
44. Porter, B.E., & Berry, T.D. (2001). A nationwide survey of self-reported red light running: measures, prevalence, predictors and perceived consequences. Accident analysis and prevention, 33(6), 735-741.
45. Porter, B.E., & england, J.K. (2000). Predicting red-light Running behavior: A traffic safety study in free Urbain settings. Journal of safety research, 31(1), 1-8.
46. Retting, R,A., & Williams, A.F. (1996). Characteristics of Red Light Violations: Result of a Field Ivestigation. Journal of Safety Research, 27(1), 9-15.
47. Rubin, K.H., Bukowski, W., & Parker, J.G. (1998). Interactions, relationships, and groups. In W. Damon (Ed. In chief) & N. Eisenberg, (Vol. Ed.). Handbook of Child Psychology: Vol 3. Social, Emotional and Personality Development (5th ed., Pp. 619-700). New York: John Wiley and Sons.
48. Rutter, D. R., & Quine, L. (1996). Age and experience in motorcycling safety. Accident Analysis and Prevention, 28(1), 15-21.
49. Rogers, R.W. (1983). Cognitive and psychological processes in fear appeals and attitude change. A revisited theory of protection motivation. In J; Cacioppo & R. E. Petty (Eds), Social Psychophysiology (Pp. 153-176). New York, NY: Guilford Press.
50. Rogers, R.W. (1975). A protection motivation theory of fear appeals and attitudes change. Journal of psychology, 91, 93 – 114.
51. Rogers, R.W., & Prentice-Dunn, S. (1986). Protection motivation theory and preventive health: Beyond the health belief model. Health Education Research , 1(3), 153-161.
52. Rumar, K. (1988). Collective risk but individual safety. Ergonomics, 31, 507-518.
53. Santor, D.A., Messervey, D., & Kusumakar, V. (2000). Measuring peer pressure, popularity, and conformity in adolescent boys and girls: Predicting school performance, sexual attitudes and substance abuse. Journal of Youth and Adolescence. 29:163–182.
54. Schwartz, S.H. (2001). Antecedents and consequences of national variation on three cultural dimensions. Keynote address at the International Conference Comparing Cultures: Dimensions of Culture in Comparative Perspective, Tilburg, Pays-Bas.
55. Schwartz, S.H. (2006). Les valeurs de base de la personne: Théorie, mesures et applications [Basic human values: Theory, measurement, and applications]. Revue Française de Sociologie, 47, 249-288.
56. Schwartz, S.H. (2007). Cultural and individual value correlates of capitalism: A comparative analysis. Psychological Inquiry, 18, 52-57.
57. Schwartz, S.H. (2009). Causes of culture: National differences in cultural embeddedness. In A. Gari & K. Mylonas (Eds.). Quod Erat Demonstrandum. From Herodotus’ ethnographic journeys to cross-cultural research (Pp.1-11). Athens: Pedio Books Publishing.
58. Sheeran, P., & Taylor, S. (1999). Predicting intentions to use condoms: A meta-analysis and comparison of the theories of reasoned action and planned behavior. Journal of Applied Social Psychology, 29, 1624–1675.
59. Slovic, P., Fischhoff, B., & Lichtenstein, S. (1981). Perceived risk: psychological factors and social implications. Proceedings of the Royal Society of London, A376, 17-34.
60. Steinberg, L., Dahl, R., Keating, D., Kupfer, D., Masten, A., & Pine, D. (2006). Psychopathology in adolescence: Integrating affective neuroscience with the study of context. In D. Cicchetti & D. Cohen (Eds.). Developmental psychopathology Developmental neuroscience, Vol. 2, 710−741.
61. Scott-Parker, B., Watson, B., King, M.J., & Hyde, M.K. (2012). Young, inexperienced and on the road – Do novice drivers comply with road rules? Transportation Research Record: Journal of the Transportation Research Board, No. 2318 (Pp. 98–106). Washington, DC: Transportation Research Board of the National Academies.
62. Triandis, H.C. (1980). Values, attitudes and interpersonal behaviour. In H. E. Howe, & M. Page (Eds), Nebraska Sypomsium on Motivation, (Pp. 195-2259). Lincoln, NE: University of Nebraska.
63. Tavafian, S.S., Aghamolaei, T., & Madani, A. (2011). Predictors of speeding behavior among a sample of iranian commercial automobile drivers: An application of the theory of planned behavior. Traffic Injury Prevention, 12(3), 274-278.
64. Vermeersch, H., T’Sjoen, G., Kaufman, J.M., & Vincke, J. (2008). The role of testosterone in aggressive and non-aggressive risk-taking in adolescent boys. Hormones and Behavior; 53(3):463–471.
Terms of Use/Privacy Policy/ Disclaimer/ Other Policies:
You agree that by using our site/services, you have read, understood, and agreed to be bound by all of our terms of use/privacy policy/ disclaimer/ other policies (click here for details).
CC BY 4.0
This work and its PDF file(s) are licensed under a Creative Commons Attribution 4.0 International License.