The six properties in detail
This section will help you write a good research question to guide your research and writing. You will revise and refine this question throughout your research as you come to a more sophisticated understanding of your topic and target a more specific area of scholarship.
A well-defined research question has six properties:
- identifies the theoretical construct you want to learn more about
- assists you to code literature according to a logical structure
- transcends the data used to conduct the research
- draws attention to the significance of the research
- has the capacity to surprise the researcher as they research
- encourages a complex answer (i.e. not a 'yes' or 'no' response).
Properties of a good research question: A good research question identifies the theoretical construct, transcends the data and has recognisability, significance, robustness and the capacity to surprise.
Watch the video: The Research Question (YouTube video, 2m04s)
Difference between a research question, title, hypothesis and research focus
A research question is not the same as a thesis title, research problem, hypothesis or research focus, although they are interrelated and support one another. To further define these elements:
- A research question summarises the significant issue your research will investigate.
- The title consists of the topic and outcome of a research project.
- The research problem explains the knowledge gap your research will address.
- A hypothesis is a predicted answer to the research question that can be tested and is based on prior research.
- A research focus specifies the scope or domain of inquiry.
What do I need to consider when writing a research question?
Identify the theoretical construct Top
The theoretical construct is the phenomenon, event, or experience you will be researching.
Example: Within a thesis titled 'An empirical investigation of health information system failure in regional Sri Lanka' the theoretical construct is 'health information system'.
You need to find and search for synonyms for the theoretical construct to ensure you do not miss finding important research because of superficial differences in vocabulary (see Module 2.1: The search process).
Example: 'Public health planning' is similar in meaning to 'health information system'. Both these phrases are used in the literature and might need to be researched.
A well-defined theoretical construct helps you identify relevant versus irrelevant research. It ensures that you are always searching for relevant matches in your data and can avoid wasting time reading and writing about ideas that are not directly related to your research. The theoretical construct must be clear, precise and must conform to the technical usage in your discipline.
Example: Instead of the broad topic: 'health information systems' choose 'decentralised health information systems in developing countries'. Focusing on a subset of health information systems enables you, as a researcher, to recognise specific data relevant to a tightly defined construct.
Transcend the data Top
The method you use to answer your research question is (usually) not included in the question itself. This is because different kinds of data can be used to answer your research question and the significance of your research should go beyond the methods you have used to determine your answers.
Example: A creative industries dissertation may define a time period, a choreographer or type of artistic practice.
There are various resources available for finding out more about suitable research methodologies to answer your research question. SAGE Research Methods (SRM) can help researchers in the social sciences or humanities design appropriate qualitative and quantitative research methods for data collection. QUT's Research Student Centre Training Resources Wiki provides additional resources to assist you to select the right research method.
Your research question should suggest how your study will increase knowledge of the theoretical construct. You need to convey what interests you about the theoretical construct and what will be different about it by the time your work is finished. Significance will reflect specialised knowledge in your discipline.
Example: Your new contribution might be to suggest ways to make health information timely and reliable to ensure evidence-based health planning in decentralised, developing world health systems. You begin your research knowing that health information systems lack good information; your new contribution will be to offer evidence-based insight and solutions to improve health information systems in developing nations
What makes research exciting and surprising is discovering insights and solutions that you will not know at the start of your research.
Capacity to surprise Top
Valuable research surprises your reader with new ideas or new relationships between existing ideas. Your research question needs to hint at surprising possibilities to increase the probability of original results.
Example of an unsurprising research question: 'How do health information systems fail to provide reliable, timely information?'
This research question presupposes that all aspects of health information systems fail and that there are no possibilities other than to confirm this statement. A researcher is unlikely to be surprised with this sort of question because their data will simply confirm this judgment.
Choosing an unsurprising, expected approach with your research question compromises your capacity to contribute to your discipline with original publications. If you already know the answer to your research question at the start you are simply documenting known information, rather than researching.
Examples of surprising research questions:
'How do climate-driven changes in the biophysical environment affect the sustainability of sub-tropical parklands?'
'What strategies do union organisations use to retain their radicalism over time?'
'What are the impacts of Starbucks on the consuming patterns of its patrons?'
Each of these research questions allow for surprising and original answers. Do not worry about whether your question will produce significant findings. A research question that follows these six principles and is guided by the expertise of your supervisory team will yield new discoveries about your theoretical construct.
Your question must be capable of generating multiple insights about the theoretical construct you are studying, and thus lead to complex results. It should not be a question to which the answer is 'yes' or 'no' because such an answer is not a complex result.
Example of a non-robust research question: 'Are public health information systems in Sri Lanka effective for accurate decision-making?'
Example of a robust research question: 'How do regional health information systems provide information support for evidence based health planning and interventions?'
A robust question allows for surprising and complex results, such as discovering that there are some effective sub-systems within a broadly inefficient system. A well written research question makes research interesting to write and to read.