correlation of age and gender with being involved

8/7/2019 Correlation of age and gender with being involved

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Jonathan Travalio

Penn State Harrisburg


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Introduction

Auto accidents have a variety of causes.Two of the factors focused on byinsurance companies are age andgender.

This experiment is designed to explorewhether these two criteria have do have

an effect on the likelihood of being in anaccident.


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Background Research

Abdel, A, Chen, CL, & Schott, JR. (1998).An assessment of the effect of driver ageon traffic accident involvement using log-linear models. Accident Analysis andPrevention, 6. Retrieved fromhttp://www.ncbi.nlm.nih.gov/pubmed/9805528

ScienceDirect - Safety Science : The

effects of personality and gender on riskydriving behaviour and accidentinvolvement. (n.d.). ScienceDirect - Home.doi: doi:10.1016/j.ssci.2005.12.003


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Hypothesis

I believe that age will have the mostimpact. Younger drivers would be themost likely to be involved in an accident,followed by the elderly, and middle agedpeople being the least likely.

I believe that females will also be more

likely to be in an accident than males.


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Method

Participants 30 people were taken fromthe age groups of 16-25, 26-69, and 70+.Each group was also split in half for males

and females. Materials A simple three question survey

that asked age, gender, and if the personwas at fault for a serious accident in thelast two years. Serious being defined as$5,000+ total damage for the accident.See Table one for survey


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Procedure

Participants were given survey

Survey and qualification of SeriousA

ccidents was explained Participants filled out survey


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Results

Hypothesis concerning age wasconfirmed, while the hypothesisconcerning age was not confirmed.


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Discussion

The results showed that there was asignificant correlation between the ageof the driver and the probability theywould be involved in a serious autoaccident. For the younger drivers, thiscould be attributed to inexperience of

the drivers in question.


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Discussion

The results of the experiment did notshow any significant correlation betweenthe gender of the driver and the

probability that they were in an accident.This goes against the practice ofinsurance companies rating males as

more likely, and the common belief thatfemales are more likely.


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Discussion: Future Suggestions

One of the suggestions for a futurerefinement of this experiment would beto have more age groups to further

examine the effects of age.


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Appendix

Table 1


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References

Abdel, A, Chen, CL, & Schott, JR. (1998).An assessment of the effect of driver ageon traffic accident involvement using log-linear models. Accident Analysis andPrevention, 6. Retrieved fromhttp://www.ncbi.nlm.nih.gov/pubmed/9805528

ScienceDirect - Safety Science : Theeffects of personality and gender on riskydriving behaviour and accidentinvolvement. (n.d.). ScienceDirect - Home.doi: doi:10.1016/j.ssci.2005.12.003

correlation of age and gender with being involved

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