| Sažetak | Cilj ovog istraživanja bio je utvrditi odnos između osobina ličnosti (ekstraverzija, savjesnost,
ugodnost, emocionalna stabilnost, intelekt, otvorenost), sklonosti za preuzimanje rizika (etička,
financijska, zdravstvena, društvena, rekreacijska domena) i ponašanja u vožnji (pogreške,
korištenje mobitela, agresivni prekršaji, “obični” prekršaji. U online istraživanju sudjelovalo je
411 građana Republike Hrvatske koji posjeduju vozačku dozvolu (minimalno B kategorije
motornih vozila) te ju aktivno koriste. Za operacionalizaciju konstrukata korišten je upitnik
ličnosti IPIP60, Upitnik sklonosti za preuzimanje rizika DOSPERT te Upitnik ponašanja
vozača u prometu (DBQ) koji je adaptiran dodajući mu supskalu koja ispituje korištenje
mobitela u vožnji. Podatci su prikupljeni putem Google Obrasca koji je poslan putem
elektroničke pošte te preko društvene mreže Facebook. Rezultati pokazuju da su pojedinci s
višim rezultatom na dimenzijama savjesnosti i ugodnosti sigurniji sudionici u prometu u
kontekstu promatranih mjera (s iznimkom za povezanost savjesnosti i supskale Korištenje
mobitela što se pokazalo nepovezanim). Pojedinci s nižim rezultatom na dimenzijama
otvorenosti i emocionalne stabilnosti češće se u vožnji ponašaju na rizične načine, s tim da je
otvorenost značajno povezana i sa svim supskalama ponašanja u vožnji, a emocionalna
stabilnost s pogreškama i agresivnim prekršajima. Intelekt nije statistički značajno povezan s
ponašanjima u vožnji, niti s njegovim supskalama. Rizična ponašanja u vožnji zajedno sa
svojim sastavnicama ostvaruju statistički značajne povezanosti gotovo sa svim domenama
rizika i ukupnim rizikom. Ponašanja u vožnji, pogreške u vožnji i agresivni prekršaji nisu se
pokazali povezanima s domenom društvenog rizika. Uz to, domena rekreacijskog rizika nije
statistički značajno povezana s agresivnim i „običnim“ prekršajima. Korištenim setom
prediktora može se objasniti 38,0% ukupne varijance rizičnih ponašanja u vožnji (gledano
ukupno). Kada se kao kriterijske varijable u analizi ispituju supskale pogrešnih ponašanja u
vožnji korišteni set prediktora najbolje objašnjava ukupnu varijancu „običnih“ prekršaja
(Radj=37,3%), zatim korištenja mobitela (Radj=22,1%), agresivnih prekršaja (Radj=20,6%) te na
kraju pogrešaka u vožnji (Radj=15,4%). |
| Sažetak (engleski) | The aim of this study was to determine the relationship between personality traits (Extraversion,
Conscientiousness, Agreeableness, Emotional stability, Intellect, Openness), risk taking
(ethical, financial, health, social, recreational domain) and driving behaviour (errors, mobile
phone use, aggressive violations, “ordinary” violations). In this online study participated 411
citizens of the Republic of Croatia who have a driver's license (minimum category B of motor
vehicles) and who actively use it. This study has been conducted through the Google Forms
sent by e-mail and shared on social network Facebook. The first part of the study refers to sociodemographic questions (age, sex), followed by as follows: Driver's Behaviour Questionnaire
(DBQ), IPIP60 and A domain-specific risk-attitude scale (DOSPERT). The results show that
individuals with higher scores on the dimensions of Conscientiousness and the Agreeableness
of safer road users in in the context of the observed measures (with the exception of the
connection between Conscientiousness and subscale Use of mobile phones which proved to be
unrelated). Individuals with lower scores on the dimensions of Openness and Emotional
stability are more likely to behave in risky ways while driving, with Openness being
significantly associated with all subscales of Driving behavior, and Emotional stability with
errors and aggressive violations. Intellect is not statistically significantly associated with
driving behaviour, nor with its subscales. Driving behaviours together with their components
achieve statistically significant associations with almost all risk domains and overall risk.
Driving behaviour, driving errors and aggressive violations have not been shown to be related
to the domain of social risk. In addition, the domain of recreational risk is not statistically
significantly associated with aggressive and “ordinary” violations. The set of predictors used
can explain 38,0% of the total variance in driving behaviour (overall). When the subscales of
driving behaviour are examined as criterion variables in the analysis, the set of predictors used
best explains the overall variance of "Ordinary" violations (Radj = 37,3%), then Mobile phone
use (Radj= 22,1%), Aggressive violations (Radj = 20,6%) and finally Driving Errors
(Radj=15,4%). |
