A Research design is the organization of circumstances for data gathering in a way that is applicable the aim of the study. (Creswell, 2013). This also includes testing the hypothesis as well as answering the question at hand. It is used extensively and widely to describe attitudes, behaviors, values, and characteristics. This study adopted a descriptive research design which aimed at ascertaining whether people in the Indian Society preferred love marriages or arranged marriages.
Neuman, & Robson (2014) defines target population as the widespread research of all the subjects of the actual area of interest, occasions or purposes to which a researcher desires to generalize the outcomes. This survey was carried out in two different states in India to get diverse socio-cultural and geographic setting and not to be biased in the data collection from a specific state. This includes Maharashtra and Bihar. The target population was 1000 people. The population target was not achieved because not all turned out for the interview and some questionnaires were misplaced or wrongly answered by the respondents.
A sample is a small number of elements that are selected to represent the entire population size (Christensen et al., 2011). Stratified Random sampling was used because the team was heterogeneous and the researcher wanted equal participation. The sample size was 500 and was arrived at using the stratified method with the strata being divided with the population in each level. However, 350 responses were analyzed after checking for validity and reliability. The total number of respondents from the two states was 350 which included 50 unmarried men of age 16 to 30, 110 married men of age 20 to 35 and 40 unmarried women age 16 to 30 and 150 married women of age 20 to 35
During the data collection, both primary and secondary sources were employed. In primary first semi-structured questionnaires were used. They were circulated to different people, randomly selected from the sample to reduce subjectivity as well as minimize the systematic error and give respondents ample and private time to answer the questions (Time, 2012) freely. Also, interviews were carried out on some illiterate respondents. For the secondary sources of data, it was obtained from textbooks, journals, online articles and related case studies, bulletin and even magazines.
This research used quantitative method for data analysis. The data collected was edited correctly, recorded, coded and grouped about the degree of relationship among the variables Bernard (2011). After coding, it was analyzed using Statistical Program for Social Sciences (SPSS). The information was then presented using bar charts, pie charts, graphs for graphic presentation as well as frequency distribution tables and means.
Bernard, H. R. (2011). Research methods in anthropology: Qualitative and quantitative
approaches. Rowman Altamira. Accessed on 11 October 2017.https://pdfs.semanticscholar.org/e145/acdc9b70f0052326502db5f1692d64b44f80.pdf
Christensen, L. B., Johnson, B., Turner, L. A., & Christensen, L. B. (2011). Research
methods, design, and analysis.
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods
approaches. Sage publications.
Neuman, W. L., & Robson, K. (2014). Basics of social research. Pearson Canada.
Time, C. (2012). Data Collection Methods. Review of Sociology, 17, 225-249. Accessed on
11 October 2017. http://si.isr.umich.edu/sites/default/files/SURV%20623%20Summer%2016_tentative.pdf
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