I need help answering the following questions:
1) Types of analyses that can be used to make sense of the data you collect?
2) How does the adoption of a particular methodology affect the researcher's choice of methods for data collection and analysis?
3) Which methods might you choose, bearing in mind your chosen methodology and epistemological stance?
Topic of research: Impact of generational difference in building leadership and motivation in private sectors© BrainMass Inc. brainmass.com March 22, 2019, 12:19 am ad1c9bdddf
Types of data analysis to make sense of the data collected
There are primarily two types of data analysis in research which are qualitative and quantitative data analysis. Some broad categorization of data analysis also includes interpretation of interviews, case studies and personal observations. There is a difference between the analysis done in quantitative research and qualitative research methods. The quantitative method presents all the information collected by the researcher in a numeric form. This may include the number of collected items, reaction times or the number of aggressive acts. On the other hand, in qualitative method, information is not in a numeric form; rather the focus is given on the experience shared by participants or the meanings they reflect in their responses.
There are also research designs where a mixed methodology of both quantitative and qualitative research is adopted. This is a common practice to collect both quantitative and qualitative information in the same study. Here, the analysis is known as the mixed method of data analysis. The technique of mixed analysis is; however, in the development stage; there are still many research papers written in recent years that highlight the wide acceptability of mixed analysis. Here, the researcher might have a chance to use qualitative or quantitative techniques for analysis alongside. This is done by merging the quantitative and qualitative data into a single data set (Johnson, Chirstensen, 2010).
The other type of analysis includes interpretation of interviews. Interviews vary according to the research design. The interviews can be either structured, which are directive or formal, or unstructured, which are undisruptive or informal. The unstructured interviews lead to qualitative analysis while the structured interviews lead to quantitative ...
The methods in research is determined. The impacts of generational differences in building leadership and motivation in private sectors is determined.