Methods
Participants
A random sample of 25 college students between 18 to 23 years of age chose to participate in survey administered through a research system used by Capital University called SONA. Participants had the option of participating in the survey from early March to March 23, 2015. Although open to all ethnicities, out of those who chose answer 20(90.9%) identified themselves as Caucasian, 1(4.54%) identified themselves as African American, and 1(4.54%) identified themselves as both Caucasian and Asian. Although open to all genders, out of those who chose to answer 9(36%) of them identified themselves as male, and 16(64%) of them identified themselves as female. All participants are current students enrolled in Capital University …show more content…
The survey was put on an online research system called SONA, where college students seeking to fulfill their research participation requirements took them. Formally, the study is a correlational study to see what factors played an influence on what, and how many sports person participated in. After collecting the results off of the SONA system they were then converted to a .csv file also known as an excel document. Following that, the results were compared to one another using a program called r in a correlation analysis. We compared variables such as socioeconomic status (SES) and number of sports played, and education level of guardians and socioeconomic status (SES), to determine whether there was a significant correlation between them. The socioeconomic status (SES) is the independent variable, and the number and type of sport(s) played is the dependent variable. The socioeconomic status is the main manipulated variable by the experimenter, and the types and amount of sports played is determined by the participant and depends on the socioeconomic status of an …show more content…
Those that are among the Upper Middle Class and the Middle Class are more likely to participate in 2 or more sports, whereas those of the Lower Middle Class are more likely to participate in 1 sport if even that. Approximately 33% of the Lower Middle Class participants participated in 2 or more sports, whereas, approximately 67% of the Middle Class and 57% of the Upper Middle Class participated in 2 or more sports. Gender plays an influential role on over-all sports participation; men are more likely to participate in sports than women. On average men played 2.17 sports compared to women who averaged playing 1.53 sports. In addition to that, 56% of males participated in intramurals compared to the 23% of women. There’s a direct correlation between an individual’s socioeconomic status and their education level. Those who identified themselves as living in the Upper Middle Class also reported having education levels above a GED and tech school. In fact 0% o of those living in the Upper Middle Class identify their highest education level as obtaining a GED or completing a tech school, most of them report their parents as having at least a bachelors degree. Also those living among the Middle to Upper Middle classes are more likely to be at a school that offers the more atypical sports like hockey, lacrosse, rugby, and rowing. In this study I took those that
Participants
A random sample of 25 college students between 18 to 23 years of age chose to participate in survey administered through a research system used by Capital University called SONA. Participants had the option of participating in the survey from early March to March 23, 2015. Although open to all ethnicities, out of those who chose answer 20(90.9%) identified themselves as Caucasian, 1(4.54%) identified themselves as African American, and 1(4.54%) identified themselves as both Caucasian and Asian. Although open to all genders, out of those who chose to answer 9(36%) of them identified themselves as male, and 16(64%) of them identified themselves as female. All participants are current students enrolled in Capital University …show more content…
The survey was put on an online research system called SONA, where college students seeking to fulfill their research participation requirements took them. Formally, the study is a correlational study to see what factors played an influence on what, and how many sports person participated in. After collecting the results off of the SONA system they were then converted to a .csv file also known as an excel document. Following that, the results were compared to one another using a program called r in a correlation analysis. We compared variables such as socioeconomic status (SES) and number of sports played, and education level of guardians and socioeconomic status (SES), to determine whether there was a significant correlation between them. The socioeconomic status (SES) is the independent variable, and the number and type of sport(s) played is the dependent variable. The socioeconomic status is the main manipulated variable by the experimenter, and the types and amount of sports played is determined by the participant and depends on the socioeconomic status of an …show more content…
Those that are among the Upper Middle Class and the Middle Class are more likely to participate in 2 or more sports, whereas those of the Lower Middle Class are more likely to participate in 1 sport if even that. Approximately 33% of the Lower Middle Class participants participated in 2 or more sports, whereas, approximately 67% of the Middle Class and 57% of the Upper Middle Class participated in 2 or more sports. Gender plays an influential role on over-all sports participation; men are more likely to participate in sports than women. On average men played 2.17 sports compared to women who averaged playing 1.53 sports. In addition to that, 56% of males participated in intramurals compared to the 23% of women. There’s a direct correlation between an individual’s socioeconomic status and their education level. Those who identified themselves as living in the Upper Middle Class also reported having education levels above a GED and tech school. In fact 0% o of those living in the Upper Middle Class identify their highest education level as obtaining a GED or completing a tech school, most of them report their parents as having at least a bachelors degree. Also those living among the Middle to Upper Middle classes are more likely to be at a school that offers the more atypical sports like hockey, lacrosse, rugby, and rowing. In this study I took those that