You will craft a qualitative research question and a set of 10 interview questions. You should write the interview questions according to the guidelines provided in the presentation located in Module 3: Week 3 Below. You will present your research topic and crafted questions in the Discussion for the opportunity for peer feedback. This discussion is designed to help you to strengthen your research skills and to obtain better research data.

 

Your thread posting should include:

1. A paragraph on your research problem/topic
2. Your qualitative research question (beginning with "How," "What," or "Why" and ending with a "?")
3. Who you plan to interview (and why)
4. 10 interview questions

Week 3 Crafting Interview Questions Presentation 

"First, consider Focus. Focus each question on a single specific issue or topic. They should be directly related to the problem statement or research question. I'm asking. Each question should help to answer or address the research problem or research question. So it's important to only include questions in your interview protocol that will help to answer or address the research problem. Also lead with brevity. Short questions are less subject to error on both the part of the interviewer and the respondents. So please be as concise and brief as possible. But while also striving for clarity, clarity demands that virtually everyone interprets the question in exactly the same way. You may want to pilot your questions with a group of individuals that you will not be using in your research data collection to ensure that the questions are perceived the same way by multiple people. Also consider the vocabulary that you're using in your research interview protocol. Try to use common language among the respondents and limit your vocabulary to words that the least sophisticated respondent or participant will now. Also consider grammar. While this is not an English class and this is not the focus of your research. It is important to break simple sentences into very clear, brief snippets when possible, and use only complex sentences when necessary. Consider breaking compound and complex sentences into more simple sentences. And then also change long dependent clauses to words or short phrases where that's possible. Before you begin interviewing, it's important to consider how you can avoid research bias and error while interviewing. You need to avoid over demanding recall. It is a slippery slope to assume that respondents are going to be able to recall their behavior, feelings over an extended period of time. So it's better to ask them about something that they've done recently as opposed to something that happened months ago, especially when it comes to purchase habits or product related activity. Also avoid overgeneralizations. State generalizations only if they represent policies, strategies, or habitual behavior patterns. Because this can introduce bias into your study and can. Formed the participants incorrectly on what you're looking for in their response. Be careful not to over specify. Don't ask for precise answer. And less respondents will be able to express it exactly in that way. We'll get to this later. But this is why you want to use semi-structured interview questions rather than structured. This is different from surveying, where you would predetermine the answer choices. Instead, you want to ask something that's clear and concise but without giving them precise answer choices. Also avoid over-emphasis. Avoid dramatic terms and lean toward understatement rather than overstatement. Also avoid ambiguity of wording. Every word or phrase that you used needs to have a plain common meaning for everyone and the sample. Also avoid double-barreled questions, split or modify compound questions. If you are asking information that you've gotten one sentence, but could be answered differently, especially for those questions that you're asking for an action and a reason for it. So rather than asking, what did you do and why did you do it? Or if you did this, why did you do this? Then break those into two separate questions and leave up with the follow-up question as a pro. Avoid leading questions. Avoid leading words such as, don't you, or in favor of do you, or would you avoid that as again, it seems q. Give the participants the understanding that you're looking for a certain response that can produce bias responses and also avoid loaded questions. Never use questions that are asking for a preference or opinion and include a socially desirable reason. For instance, if you're asking something about when do you help someone with something? Well, it's socially desirable to be someone that helps. So avoid asking questions like that. Unless it is absolutely critical to your study, you can contact your professor to kind of feel out those parameters. In terms of your question format. You can produce unstructured questions or structured questions and some differences here, unstructured questions don't clearly showed the dimensions respondents are supposed to use. Again, this does not give them predetermined answer choices. And the data aren't directly comparable from one respondent to the next. Verbatim responses are time-consuming and difficult to record when you use an unstructured format. This can sometimes be necessary, so it's something to consider, but it's also important to consider that you will be putting in some more work in the analysis. Responses to unstructured questions are typically time-consuming and difficult refer respondents to work through compared to structured. But they are relatively quick and easy for the researcher to transcribe or compose. Alternatively, structured questions clearly showed the dimensions that respondents are supposed to use. So for instance, this would be like an a survey where you give them a multiple choice response. Data are directly comparable from one respondent to the next because their specific choices and pre-coded response alternatives are typically quick and easy to record. For the the researcher on the, on the backend when coding. The response task is easy for respondents because they're just selecting rather than working to articulate their thoughts. But it can be very time-consuming and difficult for the researcher to compose meaning to create those questions. So an unstructured, the time is typically spent in the coding. But it's fairly easy and quick for the researcher to draft what that question might be. Whereas and structured, it can be very time consuming for the researcher to clearly articulate both the question and the appropriate answer choices. But yet it is easier on the coding or analysis. And so either way it's going to be about the same time consumption. It's just the time spent differently for the researcher. Semi-structured interviews and questions are typically recommended for most qualitative research. This assists with question development, helps participants to have questions that they're able to answer, but also assist with data analysis as it's kind of a happy medium for the researcher and framing, encoding. The goal of semi-structured questions, or to allow the participant to share their story, but also to be consistent between participants. And use follow-up questions as probes. If not enough, answer or not enough data rich information is generated. Some examples of semi-structured questions might be, how did you hear about this product? Or why did you purchase this product? Or what are the strengths and weaknesses of this product? Now you might want to split that question into, what are the strengths of this product and what are the weaknesses of this product to avoid a double barrel? Another example is, if you could change one feature of a product, what would it be? And then after they provide their response, then you would ask why if they did not already covered that. So in summary, it's important to be clear and concise and your interview protocol, which is just your interview guide or your script. Consider respondent language and the language that participants are using when developing the guide and use semi-structured questions promote emergent. The emergent nature and consistency in the questions and both execution and analysis."