Think back to your research question from Module 1 (or come up with a new research question). Based on the techniques discussed in this module, how would you propose to collect the data needed to answer your research question? What potential pitfalls/problems would you face?
Post your initial response to the discussion question no later than Thursday 11:59 PM EST/EDT. You will not be able to see any of your classmates’ posts until you have posted your initial response.
how would you propose to collect the data needed to answer your research question?
Introduction
Before you can answer a research question, you need to develop one. This process involves identifying what kind of data will best enable you to answer your question and then designing a logical way to collect that data. In this post, we’ll explore how researchers go about this process while also giving some tips on how they might do it themselves!
Develop a research question.
The purpose of your research is to answer the question “what?” and the purpose of your research question is to answer the question “why?”
To do this, you need to develop a research question that asks something like “Why are women more likely than men to feel guilty after having an affair?” or “How can we predict which people will commit suicide in their lifetime?”
how would you propose to collect the data needed to answer your research question?
How would you propose to collect the data needed to answer your research question?
What kind of data collection design would best enable you to collect this type of data?
What are the advantages and disadvantages of each design?
What kind of data collection design would best enable you to collect this type of data?
You can design your data collection in a variety of ways. For example, you might want to conduct a survey or interview with a large sample of people who share your research question. This kind of design allows you to collect data quickly and easily, but it also limits the amount of information you can collect about each participant.
You could use an ethnography design instead, which involves spending time observing people in their daily lives and recording what they say or do (for example, through audio recordings). Ethnographers typically don’t ask respondents directly about their experiences; instead, they observe them firsthand and record their observations as notes on paper or digital files that include photos from cameras attached to smartphones or digital cameras–both devices allow researchers access without being intrusive by requiring permission from subjects before taking pictures at all times during interviews conducted over phone calls throughout entire daylong periods spent traveling between locations where participants live depending on which region each person lives closest too.”
Analyze your choices.
After you’ve identified the types of questions you need to answer and have developed a logical design for collecting these kinds of data, analyze your choices. For example, if there are several questions about the same topic that can be answered differently by different survey instruments, it may make more sense to collect all data from one source than from multiple sources.
If possible, compare responses from each source (e.g., phone surveys vs online surveys), so as not only can you determine which method yields higher quality answers but also whether those differences translate into differences in accuracy or reliability within each format (elevated vs not elevated).
You need to identify the types of questions you want to ask and the types of data you need, to then develop a logical design for collecting these kinds of data.
The first step in collecting the data needed to answer your research question is to identify the types of questions you want to ask and the types of data you need, then develop a logical design for collecting these kinds of data.
You need to know what types of data you will need to collect. For example, if you’re interested in marketing strategies that increase customer retention rates, it may make sense for your company’s analytics team or product development team to create a survey or focus group questionnaire asking customers how they feel about their experience buying from your company versus another competitor’s business model (e.g., Amazon).
Conclusion
As a researcher, you need to identify the types of questions you want to ask and the types of data you need in order to answer them. You can do this by developing a logical design for collecting these kinds of data. The key here is that your research question should guide this process–not vice versa!