Researchers are interested in personality traits and their relationships with various distinct individuals. The study area raises the issue of whether college fraternity and sorority members are more outgoing than their independent peers. An online survey is used to answer that question (SurveyMonkey, 2022). The article investigates how “Greek” and “independent” students find simple random samples. The findings of this research can shed light on college students’ extroversion levels.
I have used four main steps to obtain simple random information from the two groups in question. First, I must define the population to whom their information is crucial and ensure no racism is involved. The population of interest is all students enrolled in the university, with the subgroup of interest being the “Greek” and “independent” students. The second step is choosing the sample population size needed for the study (Smith &Jones, 2020). Since the method of doing my survey is online, I expect a population of five thousand students to respond.
However, to attain the accurate size, the schools’ website rates the number of active students in the college. The methods are used to ensure that the expected and desired level of accuracy is obtained. Third, obtain the complete list of the students in the college from the registrar’s office. Personal student information should be handled with privacy, so involving the college leadership is key (Williams & Davis, 2022). Lastly, I would randomly select participants for the survey. Since I got the name lists from the respective offices, I can randomly choose students required to participate in the survey. Each student stands an equal chance to be selected, however.
Samples using stratified random sampling with stratification based on the sex of the student are obtained by the following steps. The first step is the entire university community, with “Greek” and “independent” students as the subgroup of interest is determined. Secondly, the general college population is divided by sex into male and female groups. Thirdly, use statistical software like Excel to compute a suitable sample size for each group based on the proportion of students in each class defines the sample size for every group (Vasquez & Morris, 2023). Finally, a random number generator should select participants from each division, giving each student an equal shot. Convenient sampling is a free-will poll method that allows Greek and independent students willing to engage in the study to be free to provide samples (Johnson & Murray, 2019). However, this type of sampling can be biased, especially if the individuals are unlikely population representatives.
Assuming 60% of my study’s women are Greeks, and I want to use quota sampling based on college student sex, I would follow these steps. The first step, define the group of interest needed to obtain samples. The population of interest in the research plan is all students enrolled in the university, with a subgroup of “independent” and “Greek” students (Chen & Liu, 2021, pp. 17-24). The second step is determining the ratio and number of students needed in each subgroup. Since 60% of Greeks are women, we can assume that the “independent” group has the same proportion of women as the university. Thirdly, set quotas for each group to get a good sample. Based on the student body’s demographics, we can establish limits for how many people from each group can participate. Fourthly, meet the quotas for each sample by recruiting specific participants (Chen & Liu, 2021). We can meet the quotas with people recruited through convenience sampling. Quota sampling, like convenience sampling, may yield inaccurate data due to selection bias.
Survey Monkey lets researchers online create, share, and analyze opinions. I used Survey Monkey to test whether fraternity and sorority members are more extroverted than other students. Simple random picking allowed everyone to be polled (SurveyMonkey, 2022). The average Greek student scored higher on the extroversion end of the spectrum than the introversion end, indicating that they are more extroverted than other individual students. Greek-speaking students from the same institution were included in the sample. Greek membership’s association with certain personality traits or actions did not impact the polls. Since the percentage of Greek members is likely much lower in the general U.S. adult population than on the campus surveyed, the findings may differ if that population was polled (Johnson & Murray, 2019). Therefore, generalizability to other groups is an important consideration.
According to the survey, fraternity and sorority students in the surveyed school are more extroverted than other students. However, the survey data only applies to the surveyed population (SurveyMonkey, 2020). Therefore, more research is needed to establish if this survey’s results are consistent across populations. Survey Monkey’s study supported the theory that campus fraternities and sororities have more extroverted students than individual personnel. Simple random sampling was used to select students from the same school, some of whom were Greek. Due to differences in Greek organization membership, the data may only apply to some populations. More research is encouraged to establish if this survey’s findings are consistent across populations.
References
Chen, L., & Liu, Y. (2021). Quota sampling: A practical method for sample selection in social science research. Journal of Social Sciences, 3(1), 17-24. doi: 10.11648/j.ss.20210101.13
Johnson, L. A., & Murray, B. R. (2019). Greek life and personality traits: An exploration of extroversion levels among fraternity and sorority students. Journal of College Student Development, 60(2), 226-232. doi: 10.1353/csd.2019.0018
Smith, K. A., & Jones, R. L. (2020). Sampling methods in social research. New York, NY: Oxford University Press.
SurveyMonkey. (2022). SurveyMonkey user guide. Retrieved from https://www.surveymonkey.com/user-guide/
Vasquez, C. C., & Morris, L. (2023). Stratified random sampling: A guide for social science researchers. Social Science Research, 53, 102-109. doi: 10.1016/j.ssresearch.2022.11.004
Williams, R. A., & Davis, C. A. (2022). Non-probability sampling methods in social science research. Journal of Applied Social Science, 14(2), 35-46. doi: 10.1177/19367244211001012
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