There are three key things you need to remember when crafting a solid, doctoral-level problem statement:

1. Know what type of problem statement you’re writing.

2. Include the right information.

3. Maintain alignment — use the same nouns and verbs, in the same order, across your problem statement, purpose statement, and research questions.

1. Identify the Type of Problem Statement

There are two primary types of problem statements you’ll encounter in doctoral research:

• Socioeconomic or sociopolitical problem statements, which focus on a real-world issue that affects a group, community, or organization.

• Knowledge gap problem statements, which highlight what is not yet known in the academic literature — the gap your research will fill.

Let’s look at examples of each type.

2. The Socioeconomic or Sociopolitical Problem Statement

Example:

The problem is low resiliency and high burnout among registered nurses in the trauma unit of a hospital in a large southeastern U.S. city.

This statement contains four crucial pieces of information:

1. Theoretical framework
   You should be able to infer the theory from the problem statement itself. Here, resiliency theory and burnout theory are evident.

2. Unit of analysis or observation
   The group being studied: registered nurses.

3. Population
   The broader context: a large southeastern U.S. city. (Keep it generic — avoid naming the specific city.)

4. Sampling frame
   The setting or subset from which your participants will come: registered nurses from a trauma unit in a hospital located in that city.

You can see how much can be deduced from just this one sentence — theory, participants, context, and sample.

And this level of clarity should carry through your purpose statement and research questions using the same nouns and verbs in the same order. That’s what faculty refer to as alignment.

3. The Knowledge Gap Problem Statement

Now let’s look at the second type — one focused on the unknown or gap in knowledge.

Example:

It is not known how a proposed sample of registered nurses in the trauma unit of a hospital in a large southeastern U.S. city describes resiliency to burnout when caring for trauma patients.

This type of problem statement contains all the same information as before, plus more:

• Theoretical framework: again, resiliency and burnout.

• Unit of observation: registered nurses.

• Population: a large southeastern U.S. city.

• Sampling frame: the trauma unit of a hospital in that city.

But it adds two additional clues:

1. Research design
   The word “describes” signals a qualitative descriptive design.
   (If it were quantitative, you’d use terms like measure, compare, or examine — but note that purely descriptive statistics are never enough for a doctoral-level study; you’ll need inferential analysis.)

2. Sampling technique
   The phrase “proposed sample” suggests purposive sampling — selecting participants based on specific characteristics such as age, years of experience, or gender identity.

This level of detail is unique to the knowledge gap version because it’s about addressing what’s missing in the academic literature, not solving an external sociopolitical issue.

4. Putting It All Together

To recap, writing a strong dissertation problem statement comes down to mastering three things:

1. Know your type: Are you addressing a real-world problem or a gap in knowledge?

2. Include the right information: Theory, unit of analysis, population, and sampling frame (plus design and sampling technique, if it’s a knowledge gap).

3. Stay aligned: Use the same nouns and verbs, in the same order, across your problem statement, purpose statement, and research questions.

By following these three steps, your problem statement will naturally set up the rest of your dissertation — clear, concise, and properly aligned.