Quantitative research is a method used in the area of sociology. The analysis of this approach should be carried out in the following ways. To write a sample of quantitative research paper, first of all, it is important to conduct a literature review. Secondly, a researcher should identify a specific problem that might be investigated, describe the methods and carry out a thorough analysis. Thus, these steps are supposed to be written and well-presented in the paper.
Introduction
In this part of the paper, a scientist defines the problem of the topic that should be investigated. It appears that an overall representation of a quantitative research must be mentioned, including methods, design, analysis of data and a conclusion.
Literature Review
A literature review is one of the essential steps in the process of writing a quantitative research paper. It helps to find out main gaps in the previous investigations and create its own ideas to carry out a research. A key step that should be done in this case is a categorization of information because it appears to be important to search for new ideas of writing a unique quantitative research paper.
Methods
The methods used in quantitative research paper could be divided into three groups. The first one is a description of the data set which includes in itself sample size of the respondents and their socio-demographic characteristics. The second method is the identification of sociological instruments such as a survey or a questionnaire and the clarification of their usage. The third one is devoted to the hypotheses which are the essential features of the quantitative research paper. Then, a researcher should detect the variables of the study, namely, independent and dependent ones and provide with a short description of data output.
Analysis
The data analysis is one of the main steps in the process of writing a quantitative research paper. Specifically, this part requires restating the hypothesis and conducting the analysis of main findings in the data set such as SPSS. The method of crosstabulation which helps to identify a relationship between independent and dependent variables could be used for carrying out a thorough analysis of research. Another method that might be used in this case is a regression that measures the level of significance (p-value). The coefficient of the results should not exceed 0,05. The formulas, in this situation, might be Fisher coefficient, t-statistic and r-square. A conclusion should describe the found results and restate whether the hypotheses of the study were proved or not.
References
- Allen, M., Titsworth, S., & Hunt, S. (2009). Quantitative research in communication. London: SAGE.
- Creswell, J. (2011). Research design. Thousand Oaks, Calif.: Sage Publications.
- Nielsen, R. (2011). Cues to Quality in Quantitative Research Papers. Family And Consumer Sciences Research Journal, 40(1), 85-89. http://dx.doi.org/10.1111/j.1552-3934.2011.02090.x
- Norris, J., Ross, S., & Schoonen, R. (2015). Improving Second Language Quantitative Research. Language Learning, 65(S1), 1-8. http://dx.doi.org/10.1111/lang.12110