3.1: Goals of the Research Project

Learning Objective

• Understand and describe the differences among exploratory, descriptive, and explanatory research.

There are viral debates across digital platforms about whether generative AI tools like ChatGPT are making college students "lazy" or "more productive," raising a number of interesting sociological questions. Just what sorts of AI tools are students relying on? How does this reliance change the way they learn? Why do some demographics adopt these tools faster than others?

Sociological research is great for answering exactly these sorts of questions. But in order to answer our questions well, we must take care in designing our research projects.

One of the first things to think about when designing a research project is what you hope to accomplish in very general terms. What do you hope to be able to say about your topic? Do you hope to gain a deep, intimate understanding of a specific group, or would you rather have a broad, sweeping understanding of a national trend? Do you want your research to be used by policymakers to shape social life, or is this project more about exploring a totally new phenomenon? Your answers to each of these questions will shape your research design.

Exploration, Description, Explanation

You will need to decide in the beginning phases whether your research will be exploratory, descriptive, or explanatory. Each has a different purpose, so how you design your research project will be determined in part by this decision.

1. Exploratory Research

Researchers conducting exploratory research are typically at the early stages of examining their topics, and it is a type of inductive research. These sorts of projects are usually conducted when a researcher wants to figure out the "lay of the land" with respect to a completely new or unstudied topic. Perhaps very little prior research exists on the subject. If this is the case, a researcher may wish to do some exploratory work to learn what method to use in collecting data, how best to approach research subjects, or even what sorts of questions are reasonable to ask.

For example, when generative AI first entered higher education, sociologists lacked the data to understand its impact. Early qualitative exploratory studies by Marc Vinyard & Mark Roosa (2025) simply asked students, "How are you actually integrating these tools into your daily academic routines?" Through open-ended interviews, researchers explored uncharted territory, discovering that students primarily used AI for brainstorming and language refinement rather than outright plagiarism. Because the technology caused a massive shift in behavior, exploratory studies were a necessary first step toward building more complex theories.

2. Descriptive Research

Sometimes the goal of research is to describe or define a particular phenomenon. In this case, descriptive research would be an appropriate strategy; it is also a type of inductive research. A descriptive study of college students’ use of AI, for example, might aim to describe patterns in how usage varies by gender or college major or which specific tools students tend to use most regularly.

The Pew Research Center (2025) conducted excellent descriptive research to provide the public with demographic data on exactly who is adopting these tools. They described what percentage of students are using ChatGPT for schoolwork, explicitly breaking the usage data down by age, race, and household income. Although students and parents might be able to observe some of these trends on their own, having access to the systematic descriptive data gathered by a team of researchers is much more reliable.

3. Explanatory Research

Finally, sociological researchers often aim to explain why particular phenomena work in the way that they do. Research that answers “why” questions is referred to as explanatory research. In this case, the researcher is trying to identify the causes and effects of whatever phenomenon they are studying, which makes it a type of deductive research.

An explanatory study of AI in college might aim to directly answer our opening question: Why do some students become overly reliant on it, while others use it to become more productive?

There are numerous examples of explanatory social scientific investigations that answer this exact question. For example, an explanatory study by Zhang et al. (2024) sought to explain why students develop "AI dependency" (the sociological term for academic laziness). Their explanatory research revealed the structural cause: high academic stress and intense performance expectations severely deplete a student's self-regulation, causing them to rely entirely on AI to do the work for them. Conversely, an explanatory experimental study by Essel et al. (2024) sought to explain why ChatGPT makes other students more productive. They found that when educators intentionally integrate AI into the classroom as a "metacognitive partner" to debate ideas with, it directly causes significant improvements in a student's critical and creative thinking. Both of these studies move beyond just describing a trend to explaining the causes and effects of the technology on human behavior.

Key Takeaways

• Exploratory Research: Conducted when a researcher has just begun an investigation and wishes to understand a new or emerging topic.

• Descriptive Research: Aims to describe or define a topic, often outlining the "what" and "who" of a social phenomenon.

• Explanatory Research: Aims to explain why phenomena work in the way they do by looking at causes and effects.

Exercise

Reflect & Apply: Describe a sociological scenario in which exploratory research might be the best approach. Similarly, describe a scenario in which descriptive and then explanatory research would be the preferred approach.