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The first thing to know about research is that it's messy. Breaking down research into clear, linear step-by-step rules is challenging because many aspects of research activities overlap.
So what is research? Research is a systematic investigation of a particular topic or phenomenon with the purpose of generating new knowledge, building on existing scholarly work, and solving many social and environmental issues we face. Not all research is about generating universal truths. In fact, it is often not possible because nature and humans are incredibly complex, but we are able to identify trends and patterns.
Research is a fundamental activity in all academic and scholarly disciplines. Areas of scholarly inquiry are typically divided into three interconnected areas: humanities (such as philosophy, language, performing arts, visual arts), social sciences (such as psychology, linguistics, communication, business, anthropology), and natural sciences (such as chemistry, biology, physics, engineering).
Examples of research questions and methods:
Choosing a topic will be different depending on the course. Some instructors will encourage you to choose something you're passionate about, while others have more specific parameters the project needs to follow. Regardless of what type of class you're in, think about the purpose of research, that is, what type of problem could your work potentially help solve? What is it that we should know more about but know very little about?
Figuring out what your research questions are is an important step. So how do you do it? As noted earlier, research is messy and many "steps" are intertwined. In order to create research questions, you need to have some background knowledge of your topic. You need to know what the conversations and debates are in order to figure out how you can join the conversations and debates with your project. Things to ask yourself:
In order to answer these questions, you need to read some literature (previous research) on the topic. Take notes while you're reading. Some people have spreadsheets or tables to organize the information. For instance, articles that review or summarize the trends and developments in a field can be helpful.
When you have a decent understanding of what's been done, you can start formulating your questions and thinking about what kind of data can answer your question(s). Think about designing questions that generate complex answer, so avoid asking yes/no questions. For instance, "is it challenging for English language learners who have kids to learn English?" will probably not result in interesting findings. However, reformulating the question to something like "in what ways do parents navigate structural challenges as they develop their English language literacy in community-based programs?" will likely result in complex answers depending on the parents and their individual situations. The research project should strive to fill the gap you identify and support the development of solutions to various urgent social issues.
To answer your research questions, you need to select the more suitable method. The method you select depends on the questions you ask.
Research methods are often placed in two categories: quantitative and qualitative. The method you use depends on what your research questions are. Choose your method after you have identified your research questions rather than making the method fit a project. Common ways of collecting data and conducting research include:
Spoken and interactional data require the researcher to transcribe the interviews/interactions verbatim. Transcripts need to be as accurate as possible, not only in terms of what was uttered, but also how they were uttered to accurately represent the voices of the participants. Using software to organize the data is helpful when the data set is large or consists of many different components. Examples of software that can do this include NVivo and Atlas.ti, and R (this is a programming language, unlike the other programs that are mentioned). Note that these are tools to support the researcher. These programs do not analyze or interpret the data for researchers. This is particularly useful for coding purposes when the data set consists of different types of primary sources.
Having a well thought-out research plan is an essential part of the research process. A research matrix can help you design a solid plan. It helps researchers visualize what they will do and how they might need to pivot as their research progresses. Critical questions to answer prior to starting your study include:
Having a plan is great, however, it is common (if not the norm) that an unplanned event happens that requires you to alter your plans. Learning how to pivot is part of the process. Research is messy and not a linear path from point A to B because it is an iterative process. Common challenges:
Always let your questions and purpose guide your choice, rather than forcing a method to fit your work.