Social Networking Research Proposal Example | Topics and Well Written Essays - 2000 words

Social Networking - Research Proposal ExampleThe synergy of the quantitative and soft approaches in the mixed method approach was necessary to address the research problem in its totality.The particular that the entire sample would be coming from the same university also take ind consistency in the measurement of whizz of the variables, which was the answerers academic standing. This variable relates to the effects of the use of social networking on scholars.The study used the nonprobability have technique since it would not be practical and feasible to do scientific random sampling (Trochim, 2006) from the entire student population of the University of Chesters Warrington campus given the scope and limitations of the study.From among the nonprobability sampling techniques, purposive sampling (Trochim, 2006) was used, designateing undergraduate students of the university. This enabled the researcher to have energetic access to the target sample since undergraduates make up t he majority of the student population.Under purposive sampling, nonproportional quota sampling (Trochim, 2006) was thusly used to ensure that male a... Under purposive sampling, nonproportional quota sampling (Trochim, 2006) was then used to ensure that male and young-bearing(prenominal) students were represented, although not necessarily according to their actual statistical distribution in the target population. Since the distribution of male and female students in general is not a fixed proportion in exclusively schools, proportion was not deemed to be a relevant factor and representation of both genders was ensured instead.Of the 50 responders for the study, the target was to have no less than 20 male students and no less than 20 female students. The respondents were then chosen from among volunteers who fit the criteria, on a first-come-first-serve basis, ensuring that the minimum derive of male and female students was met. password of Variables Quantitative variables (Qu antitative data analysis, n.d.) covered by the study are the age of the respondents, number of male and female respondents, number of respondents who participate in social networking, the number of social networking sites joined by the respondent, the number of hours per twenty-four hour period spent by the respondent on social networking sites, the number of hours per day spent by the respondent online, the number of hours per day spent by the respondent in recreational activities outside social networking sites, the number of hours per day spent by the respondent in class, the number of hours per day spent by the respondent studying outside class and the quality point average (QPA) of the respondent in the previous term. The QPA of the respondent for the previous term is the closest most accurate measure possible for the respondents academic standing. This measure was meant to be used to correlate the effect of the respondents level of participation in social