Content Analysis – Texting and Driving

* The use of cellphones while driving has been a growing concern in society as more and more laws are being made against the use of them. They are not only used to talk to others, they are also used to text, listen to music for many, watch videos, and to access the Web. According to the U. S. National Highway Traffic Safety Administration (NHTSA, 2010), in 2009, 16% of fatalities and 20% of injuries in the U. S. involved driver cellphone use (http://www. tc.

gc. ca/eng/roadsafety/tp-tp15145-1201. tm#s36). Accessing the Web through a cellphone while driving has become very popular for getting directions and for the use of a GPS, as well as to access and send e-mails. Many consider talking or texting on the phone while driving to be dangerous, however, accessing the Web through a cellphone while driving is just as dangerous and distracting.

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There are many scholarly articles and government documents addressing this issue that shall be used as a source for my hypothesis.These articles and documents give a sufficient amount of data to prove that accessing the web while driving is just as distracting as texting or talking while driving such as Cook and Randall’s scholarly article “Texting and Accessing the Web While Driving: Traffic Citations and Crashes Among Young Adult Drivers” which analyzed Jessor and Jessor’s “problem behavior theory…as a useful framework for understanding characteristics…that increase the likelihood for an individual to engage in problematic behavior” (p. 545), such as accessing the Web while driving.The government documents provide facts about the issue and can be viewed as a reliable source, and the scholarly articles prove this hypothesis by carrying out extensive research experiments on the issue. My sampling method will take into consideration a time frame, relevance, and a selection method to ensure that my sample is representative of the entire population without any bias being present. When considering the time frame I will use the three distinct times of the day being morning, afternoon and night time driving to compare when people use their cellphones to access the Web more, as well as weekdays and weekends.I would predict that the Web is accessed more on weekends as to weekdays because during the week most drivers are driving to a known destination and have been there before such as their workplace or school and therefore would not need to use the Web for directions of any sort. In addition, it is most likely a relatively close drive and there would be no need to check an e-mail when you are not going to be driving for very long.

However, on weekends people may go to more unknown destinations and will therefore need directions and will access the Web.Workers will most likely be away from their office or workplace and may be more inclined to answer e-mails while driving. I will also be sure to collect recent and present articles for my issue since this is a relatively new issue brought upon society.

When using my medium of scholarly articles I will need to define what is considered a relevant text and what ones I will ignore. This is where units of analysis or categories of analysis will present themselves as I will reduce the complex articles and documents to simple data through syntactical distinctions, which “define content as discrete bits of text” (Text, p. 35).

Since my issue is based on cellphones and accessing the Web while driving, I am not looking for any research connected to talking or texting while driving. I will use syntactical distinctions by finding individual words, phrases or sentences within these articles and documents that only adhere to using the Web while driving and no other form of cellphone use. Finally, my selection method will consist of systematic sampling as all the participants will need to have a license and I will need an assortment of ages from both genders to gain my data.I would cluster the ages 16-20 together, 21-26, 27-32, 33-40 and 41-50.

I would then randomly select 6 males and 6 females for each age group by accepting any volunteers giving me a total of 60 participants. As previously stated, I would define my units of analysis using syntactical distinctions such as the phrases “driving and accessing the Web” or “crashes due to Web use” and I would stay away from the phrases using the words “texting” or “talking” since they are not relevant to the issue being examined. When designing the coding schedule I would assign numbers to each unit of analysis.I have divided the time frame into morning, afternoon and nighttime driving being either on a weekday or on the weekend. From each age cluster 2 males and 2 females would be assigned to each time frame and would perform the experiment once on a weekday and once on the weekend with a driving stimulator. The number 1 will be assigned to those who needed to access the Web while driving and each time they perform an unsafe driving action such as swerving or crossing the center line or crashing, an ‘X’ will be placed next to the 1.Those who do not use the Web will be assigned the 2 and will also have an ‘X’ marked if they perform an unsafe driving action. To pilot the coding schedule I would take only 1 person from each gender and from only 1 age group and gain an idea of how well the research will prove my hypothesis.

See the attached appendix for a coding sheet that would be used for the research. After the experiment is carried out, anomalies would be searched for between the medium being scholarly articles, and the findings with the experiment.Frequency, counting, pattern recognition, and statistics would all be taken into consideration with the findings and the medium.

With this content analysis I would expect to find that accessing the Web on a cellphone while driving is just as distracting and likely to cause an accident as talking or texting on a cellphone while driving can be. Weekends will be more likely to see the use accessing the Web on a cellphone while driving than weekdays because of the amount of more unknown destinations for drivers. * Appendix 1 * Assessing the Consequences of the Amount of Web Accessed on Cellphones while Driving * * Please Circle the appropriate answer * ————————————————- Day: Mon TuesWed Thurs Fri SatSun * ————————————————- * ————————————————- Time: Morning (5-12)Afternoon (12-5pm)Night (5-10pm) * ————————————————- * ————————————————- Gender:MaleFemale * ————————————————- ————————————————- Age:16-2021-2627-3233-4041-50 * ————————————————- * ————————————————- Cellphone Use: Accessed WebDid not access Web * ————————————————- * ————————————————- Place an X every time an unsafe driving action is performed: * ————————————————- * ————————————————- ________________________________________ Bibliography * * “Road Safety in Canada. ” – Transport Canada. N.

p. , n. d.

Web. 01 Nov. 2012.

* * <http://www. tc. gc. ca/eng/roadsafety/tp-tp15145-1201. htm>. * Cook, Jerry L.

, and Randall M. Jones. “Texting And Accessing The Web While Driving: Traffic Citations And Crashes Among Young Adult Drivers. ” Traffic Injury Prevention 12. 6 (2011): 545-549. Communication & Mass Media Complete. Web. 1 Nov.

2012. * * Merrigan, Gerianne, and Carole Logan. Huston. Communication Research * * Methods.

New York: Oxford UP, 2012. Print.