Presenting interview data might be challenging.
The following are some of the challenges you could encounter when presenting interview data.
The quantity of words you can use in your book is limited, yet interview data is virtually always extensive. You only need to include the most important aspects of the interview in your manuscripts, so it won't take long. It implies that the researcher must be skilled at interpreting data in such a way that only valuable information is extracted.
Some students have trouble distinguishing between parts of the interview that are directly linked to the study question and those that are not.
It's difficult to provide interview data in tabular form because it's non-numerical. There are some concepts that are too complicated to be broken down numerically. Analyzing and interpreting tabulated data is much simpler.
Solutions
The interview should be briefly summarized in the manuscript's methods section. The most significant questions can be thoroughly described. Explain the criteria for selecting participants, the sampling approach, the consent process, and the data collection and analysis techniques in a few sentences. Don't go into any more detail than is absolutely required. Describe the themes that emerged from your analysis in the results and discussion section in as much detail as possible.
Always keep in mind that tiny elements that are not directly relevant to the research issue do not need to be addressed in detail; otherwise, your study will become uninteresting and take up too much space. It will also divert readers' attention away from the most significant portions of the interview that are relevant to the research issue.
Consider presenting your interview data in a table, despite how tough it is. The audience will understand tabulated data much more easily. To present interview data, combine graphs and tables. In the charts and tables, emphasize the most important elements from the interview data.
Analyzing and understanding interview data can be challenging.
The researcher's competence is crucial in determining the quality of the interview data analysis. The researcher may inject bias into the interview data analysis, either knowingly or unconsciously.
The difficulty stems from the need to maintain and demonstrate rigor in interview data analysis.
Because there is a lot of data, analysis and interpretation takes time.
Visualizing the interview data is tricky.
Solutions
The validity and reliability of interview data analysis can be improved in a number of ways by the researcher. The "peer debriefing technique" can be used to solve a problem that is related to the researcher's competence. Peer debriefing is used by even the most seasoned researchers to improve the accuracy of their data analysis.
Using a widely established data analysis method, the problem of rigor can be tackled successfully. Thematic analysis is one technique for analyzing interview or other qualitative data.
The researcher should look for interesting features in the data and eliminate any extraneous information provided by the respondent at each stage of the study.
Identifying themes and topics in the data at the beginning of the data analysis process can help with visual display of interview data. The themes will assist you in structuring your analysis. It will also assist you in removing inconvenient and superfluous data elements.
A one-on-one interview is a data collection approach.
Analyzing interview questions is an example of this.
The following example is only meant to demonstrate how to properly examine an interview question.
An interview in a hospital setting, for example, is conducted in a real-life scenario. The interviewer wants to know how happy hypertension patients are with their treatment. He's also curious about who the patient sees, how he's treated, and how long he'll be there. The interviewer will ask the interviewees many questions (the patients). Patients respond to the questions, which he then records and analyzes.
Several questions now arise. The interviewer's goal is to uncover patterns, themes, and concepts that will aid him in analyzing and interpreting the material collected during the interview. He must narrow down the data to only those responses and themes that are pertinent to the study issue, or else analysis will be difficult. The following are the questions asked by the interviewer:
While you're in the hospital, who assists you in keeping track of your blood pressure and other vital signs?
Is there anyone else that visits you besides nurses and doctors, and if so, what kind of assistance does he or she provide?
When you call the nurses and other staff, how long do you have to wait for them to respond?
Is there someone who talks to you at home about how to manage your condition?
Who is in charge of ensuring that patients receive adequate care?
Is the service you're getting satisfactory?
Do you believe you'll be able to keep your condition under control if you stay at home?
The interviewer posed these questions to the hospital patients. The responses have been recorded, and the researcher will now go over each interviewee's responses, looking for intriguing areas that may aid in his analysis. The ones that are connected to the research subject will be the most interesting. The researcher writes down the interesting aspects, then reads through all of the succeeding interviewees' comments for emerging themes and concepts.
Following the reading of all of the interviews, themes are formed and examined. The researcher uses the analysis to determine how many people responded positively to a theme and how many people responded negatively. What is the overall consensus among the respondents when it comes to what they wear? While presenting the research findings, be sure to write down what you discovered and the meanings you derived from each theme and interviewee's comments in a particular, clear, and objective manner. Instead of expressing that many respondents liked the hospital's overall service, state that 85 percent of them agreed that when they phone the staff, the nurses answer within two minutes. You should be explicit and clear so that the reader can derive just one meaning from what you've written, and that meaning should be the same as the information you're trying to convey to them.
Remember to study all of the key information from the interviewee's responses. To ensure that no information is left out of the analysis, you can employ techniques such as peer debriefing, prolonged engagement, and member check.
You can use computer tools to help you interpret the information you gathered during the interview. Complicated computations can be simplified and expedited with computer software. Manual statistical analysis takes time and increases the risk of errors.
Finally, in the discussion section, attempt to include your own comments on the quote rather than just writing excerpts from the interview. Use only the most important quotes from the interviews in your investigation. To make your findings more reasonable, include literature to back them up. The discussion portion should not just be a collection of quotes and fragments from the interviews; it should be organized and coherent.
EDITOR'S SOURCE: Cvclue
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