Logical reasoning backed up by numeric valuation is considered to be a crucial part of the research. Quantitative research methodology is referred to as a prescribed, focused as well as methodological process that is used to gather numerical data. The significance of this process is: to explain variables; to analyze and review the relationships among the variables selected to study; to establish a cause-and-effect connection in between the variables. In the quantitative method a structured framework is followed in order to reach a conclusion (Clemence et al., 2014). The data that is collected in the quantitative method are all numeric or diagrammatic representation of the variables for examples: tables, charts, graphs, statistics etc. (Ragin, 2013).
In order to gather an in-depth understanding about a comprehensive reasoning, opinions and ideas about the topic of research qualitative method is used by researchers (Venkatesh et al. 2013). This method offers insights into the challenges and problems that are associated with the topic of research or guides to create and build upon ideas or hypotheses for the research. The main purpose of the qualitative research is innovation and adding a new insight to the topic that is being researched upon. The collection of data in this method is with the help of previous research (journal articles and books), insights form the interviews and derivatives from theories and concepts that are already available in the topic (Creswell, 2013).
Clemence, A., Doise, W., & Lorenzi-Cioldi, F. (2014). The quantitative analysis of social representations. Routledge.
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS quarterly, 37(1).
Ragin, C. C. (2013). The comparative method: Moving beyond qualitative and quantitative strategies. Univ of California Press.
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