@2025 Afarand., IRAN
ISSN: 2383-3483 Journal of Police Medicine 2018;7(2):57-61
ISSN: 2383-3483 Journal of Police Medicine 2018;7(2):57-61
Structural Relationships between Abnormal Personality Dimensions and Driving Behavior by Mediation of Emotional Regulation
ARTICLE INFO
Article Type
Descriptive & Survey StudyAuthors
Abdi R. (1)Mardani L.S. (*)
(*) Department of Psychology, Faculty of Educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
(1) Department of Psychology, Faculty of Educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
Correspondence
Address: Azarbaijan Shahid Madani University, 35 Km Tabriz-Maragheh Road, Tabriz City, East Azarbaijan Province. Postal Code: 5375171379Phone: +98 (41) 31452414
Fax: +98 (41) 34327534
l.mardani@azarunive.ac.ir
Article History
Received: October 29, 2017Accepted: January 29, 2018
ePublished: April 25, 2018
BRIEF TEXT
The increasing development of urban-machine life has increased traffic congestions, which, has reduced the transportation pace on the one hand, and has imposed significant financial and costs on societies on the other hand [1, 2]. ... [5-3]. the analysis of road accidents in the country shows that the human factors are among the most important causes of driving accidents [6].
... [7-9]. The results of the study by Trieste et al. Shows that human factors, road factors, and vehicle defect account for 93%, 34% and 12% of the car accidents reasons respectively [10]. ... [11, 12]. The relationship between personality, high-risk driving and accidents has been studied by many researchers, including Amado et al. [13]. This study shows a positive correlation between impulsiveness (a subtype of neuroticism) and violence in driving. Leberg [14], determined that the incidence of high-risk driving behaviors is associated with many characteristics such as emotional instability, anxiety, anger, and aggression. Turb Jordan and Hild [15] have shown that people with higher degrees of emotion seeking and nervousness are more likely to have high-risk driving. Arthur and Gerasino have found a direct relationship between high-risk personality disorder and driving accidents [16]. .... [17-19]. McCrae and Costa have defined personality traits as dimensions of individual differences in tendencies to show consistent patterns of thoughts, feelings and actions. The Five-Factor Model (FFM) is a comprehensive and complete system for recognition of personal and personality differences, this model includes neuroticism, extraversion, openness to new experiences, consistency, and conscientiousness [20]. These five dimensions are known as normal personality dimensions. Abnormal dimensions stand beyond the normal ones [21]. The DSM-5 personality and personality disorder group has developed a basic model of abnormal personality [22]. ... [23, 24]. Thomas et al. investigated the structural convergence of the personality dimensions of DSM-5 and FFM traits and found an overlap between the abnormal and normal models. The existing evidence suggests that high levels of abnormal personality dimensions, especially oppression and disinhibition, are associated with high-risk driving behavior [25].
Knowledge of the abnormal dimensions of personality and emotional control can reduce the risky behaviors of drivers and, consequently reduce the degree of accident-induced psychological and material damage imposed on the society. Therefore, the present study was an attempt to recognize the role of abnormal personality dimensions in prediction of driving behavior with mediating role of emotional regulation.
This research is descriptive-correlational study.
This research was conducted on all public and private vehicle drivers of Tabriz and Azarshahr with at least one year of driving experience (2015).
Given that in the structural equation modeling, sample size can be determined according based on 5 to 15 observations per variable [26], 300 male drivers were selected through convenience sampling
For data collection, the authors visited some driver gathering centers such as Round-the-clock call taxi agencies in the afore-mentioned cities and asked drivers to participate in this study. Manchester Driving Behavior [27], emotional regulation [17] and abnormal personality dimensions questionnaires [22] were used for testing purposes. The internal consistency coefficients of the Manchester Driving Behavior Questionnaire were obtained through exploratory factor analysis (slips 0.77, mistakes 0.84, deliberate violations 0.86, non-deliberative violations 0.65) [28]. The 3-month test-retest validity of the emotional regulation questionnaire was 0.69 for both re-evaluation and repression components [17]. The overall reliability and internal consistency of different items of abnormal personality dimensions questionnaire were 0.86 and 0/76 and 0.89 respectively [26]. The provisions of the Helsinki Declaration were observed in this study. First, the research objectives were explained to the drivers and their consent was obtained for participation in the study. The subjects were assured that the information would remain confidential. The questionnaires were simple and cost-free. The participants were allowed to refrain from completing the questionnaires, in case they were reluctant to continue to cooperate with the researchers. After obtaining written permission from university authorities, questionnaires were completed by taxi drivers and other drivers in terminals of Tabriz and Azarshahr in a self-report manner. Data were categorized, processed and analyzed using SPSS 20 and Lisrel 8.85 software [29]. The fitting of the hypothesized model was tested using Structural Equation Modeling (SEM) method. Prior to data analysis, the defaults of the SEM statistical method were checked to ensure that the data analysis is feasible. Data analysis was carried out using a 2-stage approach. In the first stage, confirmatory factor analysis was used to evaluate the fitting of the measurement model and in the second stage, the structural equation modeling method was used to test the hypothetical structural model [30]. Bootstrap test was used to evaluate the intermediary relations. ... [31].
The subjects' age ranged from 18 to 60 years (an average age of 39 years). The coefficient of correlation between abnormal personality dimensions and driving behavior and emotion regulation was r=0.547 and r=-0.320 at a significant level of P<0.01 respectively. The correlation coefficient between driving behavior and emotional regulation was also -0.245 (-0.320<r<0.547). Among the abnormal personality dimensions, negative affect had the highest mean (7.26±1.46) and the oppression had the lowest mean (5.87±2.12) (Table 1). The evaluation of structural model using structural equation modeling method showed that all fitness indexes of this hypothesized model are in the appropriate fitting range. The abnormal personality dimensions, as an exogenous variable influenced emotion regulation and driving behavior with standard coefficients of -0.45 (t=-5.81) and 0.56 (t=8.53), Emotional regulation also influenced driving behavior with a standard coefficient of -0.15 (t=-2.12). The path of the abnormal personality dimensions to driving behavior with mediation of emotion regulation was significant at p<0.05 with standard coefficient of 0.264.
... [32]. According to the results of the structural equation model, the emotional regulation is correlated with negative affect, disinhibition, avoidance, oppression and psychosis, and driving behavior is correlated with negative affect and psychosis, avoidance, oppression, disinhibition and psychosis. The results of this study are consistent with Yaqoubui [33], Grossiyi and Azedi [34] studies, but are not consistent with Haqshenas et al. [35].
The authors should conduct the same study on other groups, especially young drivers. Also, studies due to the acceptable reliability and validity of the long form PID-5 questionnaire, compared to its brief form, the authors are required to use the long form questionnaire in further studies. In order to be more confident with the results, it is recommended to use a clinical interview along with questionnaire. The findings of this study and similar studies can be used in screening and preventive plans. According to the results, the authorities are required to have driver license applicants sit emotion seeking, neuroticism, and psychological tests in the initial examinations
The limitations of this research include self-report data collection tools, the limited population size and the lack of sufficient cooperation on the part of drivers in completing the questionnaire (due to the large number of items and fear of information disclosure)
Driving behavior is influenced by personality and emotional characteristics, and emotional regulation is a good predictor of driving behavior.
The authors would like to express their thankfulness to the subjects and people who helped them in the process of data collection
This research has been conducted without the financial support of any specific institution.
Researchers have followed all the ethical codes of research and obtained the necessary permissions from competent authorities.
….
TABLES and CHARTS
Show attach fileCITIATION LINKS
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[25]Creswell KG, Bachrach RL, Wright AG, Pinto A, Ansell E. Predicting problematic alcohol use with the DSM–5 alternative model of personality pathology. Personal Disord: Theory, Res, Treat. 2016;7(1):103-11
[26]Abdi R, Nasiri A. The role of abnormal personality dimensions in predicting narcissistic personality traits. Thought Behav Clin Psychol. 2015;9(37):27-37. [Persian]
[27]Heidar Ali H. Structural equation modeling with Lisrel application. Tehran: Samt; 2008. [Persian]
[28]Oreyzi Samani SHR. Haghayegh SA. Psychometric properties of Manchester Driving Behavior Questionnaire. Payesh. 2010;9(1):21-8. [Persian]
[29]Abarashi A, Hosseini SY. Structural equation modeling. Tehran: Ravanshenasan; 2001. [Persian]
[30]Garrusi B, Garousi S, Anjom Shoae F. The relationship of attitude, personality and perceived source of control with different types of driving behaviors. J Health Dev. 2014;3(1):48-61. [Persian]
[31]Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879-91
[32]Bidokhti AA, Sharifi N. Mediating role of social capital in relation with religiosity and feeling of social security. Secur Soc Order Strateg Stud J. 2012;1(3):13-38. [Persian]
[33]Yaghoobi, H. A review of the role of human factors in driving accidents in Iran. Andisheh Beheshti J. 2000;6(1):60-7. [Persian]
[34]Grossi B, Ozdi V. The role of personality characteristics in high-risk rriving. J Res Railw. 2013;2(6):12-40. [Persian]
[35]Hagshenas H, Hosseini M, Jamshidi M, Azizi H. The relationship between personality characteristics and driving Behavior in Shiraz, Hakim publications. 2007;11(3):47-54. [Persian]
[36]Hopwood CJ, Thomas KM, Markon KE, Wright AG, Krueger RF. DSM-5 personality traits and DSM–IV personality disorders. J Abnorm Psychol. 2012;121(2):424-32.
[2]Peden M, Scurfield R, Sleet D, Mohan D, Hyder AA, Jarawan E, et al , editors. World report on road traffic injury prevention. Geneva: World Health Organization; 2004
[3]Bianchi A, Summala H. Moral judgment and drivers' behavior among Brazilian students. Psychol Rep. 2002;91(3):759-66
[4]Pakgohar AR, Khalili M, Safarzadeh M. Road traffic accident reduction via GLM, CRT, LR regression models. Danesh-e-Entezami. 2010;12(1):77-106. [Persian]
[5]Ansari Mohsen. The future of crashes and exits, the deputy director of traffic police of the Islamic Republic of Iran; 1389. Available from: www.compcivil.com. [Persian]
[6]Ayati I. Comprehensive traffic accident review of Mashhad: Creation of a computer database and information analysis based on the TRL-MAAP model [dissertation]. Mashhad: Ferdowsi University; 2009. [Persian]
[7]Yaghoobi H. The role of human factors in car accidents in Iran. Iran J Psychiatry Clin Psychol. 2000;6(1):52-60. [Persian]
[8]Moradi A, Younesian M, Gilasi HR. Risk factors for motorcyclist traffic accidents in Kashan. J Sch Public Health Inst Public Health Res. 2007;5(1):57-69. [Persian]
[9]Ismaeli AR. Behavioral patterns (hidden learning) and their impact on traffic behavior of drivers and pedestrians. In: TehranTM: Proceedings of the 2nd Regional Conference on Traffic Management; 2001 Oct 27-28; Tehran, Iran. p. 18 [Persian]
[10]Nikzad M. The first comprehensive book of traffic accidents in the country and its damages caused by it in 2005, causes and factors of its exit from it. Tehran: Islamic Republic of Iran Police Force; 2007. [Persian]
[11]Nordfjærn T, Jørgensen S, Rundmo T. Cultural and socio-demographic predictors of car accident involvement in Norway, Ghana, Tanzania and Uganda. Saf Sci. 2012;50(9):1862-72
[12]Lajunen T, Parker D, Summala H. The Manchester driver behaviour questionnaire: a cross-cultural study. Accid Anal Prev. 2004;36(2):231-8
[13]Amado S, Koyuncu M, Kaçaroğlu G. Evaluation of factors affecting safe driving: demografic factors, experience, personality and psycho-technical evaluation. Turk J Psychol. 2004;19(53):45-7
[14]Ulleberg P. Personality subtypes of young drivers. Relationship to risk-taking preferences, accident involvement, and response to a traffic safety campaign. Transp Res Part F: Traffic Psychol Behav. 2001;4(4):279-97
[15]Iversen H, Rundmo T. Personality, risky driving and accident involvement among Norwegian drivers. Personal Individ Differ. 2002;33(8):1251-63
[16]Arthur W, Graziano WG. The five‐factor model, conscientiousness, and driving accident involvement. J Personal. 1996;64(3):593-618
[17]Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Personal Soc Psychol. 2003;85(2):348-62
[18]Ghaemi SN, Ko JY, Goodwin FE. “Cade's disease” and beyond: misdiagnosis, antidepressant use, and a proposed definition for bipolar spectrum disorder. The Can J Psychiatry. 2002;47(2):125-34
[19]Belsky J, Steinberg L, Draper P. Childhood experience, interpersonal development, and reproductive strategy: an evolutionary theory of socialization. Child Dev. 1991;62(4):647-70
[20]Costa Jr PT, McCrae RR. Four ways five factors are basic. Personal Individ Differ. 1992;13(6):653-65
[21]Krueger RF, Markon KE. The role of the DSM-5 personality trait model in moving toward a quantitative and empirically based approach to classifying personality and psychopathology. Annu Rev Clin Psychol. 2014;10:477-501
[22]Krueger RF, Derringer J, Markon KE, Watson D, Skodol AE. Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychol Med. 2012;42(9):1879-90
[23]Thomas KM, Yalch MM, Krueger RF, Wright AG, Markon KE, Hopwood CJ. The convergent structure of DSM-5 personality trait facets and five-factor model trait domains. Assessment. 2013;20(3):308-11
[24]Bastiaens T, Claes L, Smits D, De Clercq B, De Fruyt F, Rossi G, et al. The construct validity of the dutch personality inventory for dsm-5 personality disorders (PID-5) in a clinical sample. Assessment. 2016;23(1):42-51
[25]Creswell KG, Bachrach RL, Wright AG, Pinto A, Ansell E. Predicting problematic alcohol use with the DSM–5 alternative model of personality pathology. Personal Disord: Theory, Res, Treat. 2016;7(1):103-11
[26]Abdi R, Nasiri A. The role of abnormal personality dimensions in predicting narcissistic personality traits. Thought Behav Clin Psychol. 2015;9(37):27-37. [Persian]
[27]Heidar Ali H. Structural equation modeling with Lisrel application. Tehran: Samt; 2008. [Persian]
[28]Oreyzi Samani SHR. Haghayegh SA. Psychometric properties of Manchester Driving Behavior Questionnaire. Payesh. 2010;9(1):21-8. [Persian]
[29]Abarashi A, Hosseini SY. Structural equation modeling. Tehran: Ravanshenasan; 2001. [Persian]
[30]Garrusi B, Garousi S, Anjom Shoae F. The relationship of attitude, personality and perceived source of control with different types of driving behaviors. J Health Dev. 2014;3(1):48-61. [Persian]
[31]Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879-91
[32]Bidokhti AA, Sharifi N. Mediating role of social capital in relation with religiosity and feeling of social security. Secur Soc Order Strateg Stud J. 2012;1(3):13-38. [Persian]
[33]Yaghoobi, H. A review of the role of human factors in driving accidents in Iran. Andisheh Beheshti J. 2000;6(1):60-7. [Persian]
[34]Grossi B, Ozdi V. The role of personality characteristics in high-risk rriving. J Res Railw. 2013;2(6):12-40. [Persian]
[35]Hagshenas H, Hosseini M, Jamshidi M, Azizi H. The relationship between personality characteristics and driving Behavior in Shiraz, Hakim publications. 2007;11(3):47-54. [Persian]
[36]Hopwood CJ, Thomas KM, Markon KE, Wright AG, Krueger RF. DSM-5 personality traits and DSM–IV personality disorders. J Abnorm Psychol. 2012;121(2):424-32.