A research problem is a definite or clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question.

The purpose of a problem statement is to:

  1. Introduce the reader to the importance of the topic being studied. The reader is oriented to the significance of the study and the research questions, hypotheses, or assumptions to follow.
  2. Place the topic into a particular context that defines the parameters of what is to be investigated.
  3. Provide the framework for reporting the results and indicates what is probably necessary to conduct the study and explain how the findings will present this information.

So What!

In the social sciences, the research problem establishes the means by which you must answer the "So What" question. The "So What" question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What" question requires a commitment on your part to not only show that you have researched the material, but that you have thoroughly considered its significance.

To survive the "So What" question, problem statements should possess the following attributes:

  • Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible pronouncements],
  • Demonstrate a researchable topic or issue [i.e., feasibility of conducting the study is based upon access to information that can be effectively acquired, gathered, interpreted, synthesized, and understood],
  • Identification of what would be studied, while avoiding the use of value-laden words and terms,
  • Identification of an overarching question or small set of questions accompanied by key factors or variables,
  • Identification of key concepts and terms,
  • Articulation of the study's boundaries or parameters or limitations,
  • Some generalizability in regards to applicability and bringing results into general use,
  • Conveyance of the study's importance, benefits, and justification [i.e., regardless of the type of research, it is important to demonstrate that the research is not trivial],
  • Does not have unnecessary jargon or overly complex sentence constructions; and,
  • Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered, gradually leading the reader to the more specific issues you are investigating. The statement need not be lengthy, but a good research problem should incorporate the following features:

1.  Compelling Topic
Simple curiosity is not a good enough reason to pursue a research study because it does not indicate significance. The problem that you choose to explore must be important to you, your readers, and to a the larger academic and/or social community that could be impacted by the results of your study. The problem chosen must be one that motivates you to address it.

2.  Supports Multiple Perspectives
The problem must be phrased in a way that avoids dichotomies and instead supports the generation and exploration of multiple perspectives. A general rule of thumb in the social sciences is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people.

3.  Researchability
This isn't a real word but it represents an important aspect of creating a good research statement. It seems a bit obvious, but you don't want to find yourself in the midst of investigating a complex research project and realize that you don't have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose research problems that can be supported, in some way, by the resources available to you. If you are not sure if something is researchable, don't assume that it isn't if you don't find information right away--seek help from a librarian!

NOTE:  Do not confuse a research problem with a research topic. A topic is something to read and obtain information about, whereas a problem is something to be solved or framed as a question raised for inquiry, consideration, or solution, or explained as a source of perplexity, distress, or vexation.


Research problems in the social and behavioral sciences are often analyzed around critical questions that must be investigated. These questions can be explicitly listed in the introduction [i.e., "This study addresses three research questions about women's psychological recovery from domestic abuse in multi-generational home settings..."], or, the questions are implied in the text as specific areas of study related to the research problem. Explicitly listing your research questions at the end of your introduction can help in designing a clear roadmap of what you plan to address in your study, whereas, implicitly integrating them into the text of the introduction allows you to create a more compelling narrative around the key issues under investigation. Either approach is appropriate.

The number of questions you attempt to address should be based on the complexity of the problem you are investigating and what areas of inquiry you find most critical to study. Practical considerations, such as, the length of the paper you are writing or the availability of resources to analyze the issue can also factor in how many questions to ask. In general, however, there should be no more than four research questions underpinning a single research problem.

Given this, well-developed analytical questions can focus on any of the following:

  • Highlights a genuine dilemma, area of ambiguity, or point of confusion about a topic open to interpretation by your readers;
  • Yields an answer that is unexpected and not obvious rather than inevitable and self-evident;
  • Provokes meaningful thought or discussion;
  • Raises the visibility of the key ideas or concepts that may be understudied or hidden;
  • Suggests the need for complex analysis or argument rather than a basic description or summary; and,
  • Offers a specific path of inquiry that avoids eliciting generalizations about the problem.

NOTE:  Questions of how and why about a research problem often require more analysis than questions about who, what, where, and when. You should still ask yourself these latter questions, however. Thinking introspectively about the who, what, where, and when of a research problem can help ensure that you have thoroughly considered all aspects of the problem under investigation.


Beware of circular reasoning! Do not state that the research problem as simply the absence of the thing you are suggesting. For example, if you propose the following: "The problem in this community is that there is no hospital."

This only leads to a research problem where:

  • The need is for a hospital
  • The objective is to create a hospital
  • The method is to plan for building a hospital, and
  • The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "So What?" test. In this example, the problem does not reveal the relevance of why you are investigating the fact there is no hospital in the community [e.g., there's a hospital in the community ten miles away]; it does not elucidate the significance of why one should study the fact there is no hospital in the community [e.g., that hospital in the community ten miles away has no emergency room]; the research problem does not offer an intellectual pathway towards adding new knowledge or clarifying prior knowledge [e.g., the county in which there is no hospital already conducted a study about the need for a hospital]; and, the problem does not offer meaningful outcomes that lead to recommendations that can be generalized for other situations or that could suggest areas for further research [e.g., the challenges of building a new hospital serves as a case study for other communities].



Modifié le: lundi 13 août 2018, 09:29