Data analysis practice | Business & Finance homework help
Second, once the codebook is developed, the researcher should read through all of the collected qualitative data and assign each piece of information to one of the categories identified in their codebook. This step can involve close reading and analysis of each piece of text in order to identify relevant themes, patterns, or generalizations that relate back to the research question. During this phase, it may be helpful for researchers to develop new codes if they find that existing ones are too broad or don’t adequately capture the information they are seeking.
Third, once all of the data has been coded according to their respective categories in the codebook, researchers should look over all of their assigned codes and make sure that each piece fits under its appropriate category (i.e., no two pieces have been assigned conflicting/overlapping codes). If there are any discrepancies between assigned codes and relevant themes/patterns observed during close reading of texts, these should be noted and addressed before moving on with further analysis.
Finally, once all of this has been taken care off – by both double-checking written texts against assigned categorical labels as well as making any necessary adjustments – researchers can begin analyzing their categorized qualitative data with respect to their research question(s). Depending on what type/level of analysis is desired (i.e., descriptive vs inferential), various quantitative methods such as descriptive statistics may need to be applied at this time in order for results from this particular project provide more reliable insights into how different factors might influence variables associated with said research questions (if applicable).