How Do You Know Whether Two Disciplines Are Addressing the Same Problem Differently?

Are Two Disciplines Really Studying the Same Problem?

Researchers working across disciplines often encounter an intriguing situation. Two fields seem to study the same phenomenon, yet their literatures barely speak to one another. They use different terminology, cite different foundational authors, measure different variables, and sometimes arrive at explanations that seem difficult to reconcile.

Are they studying different problems, or are they looking at the same problem differently?

The answer matters when developing an interdisciplinary research question. If two disciplines provide complementary views of the same underlying problem, bringing them together may reveal something that each perspective misses. But apparent similarity can also be deceptive. The fields may define the phenomenon differently enough that combining their concepts without examining those differences creates conceptual confusion rather than integration.

Compare the Problem Beneath the Disciplinary Vocabulary

Separate the Underlying Phenomenon From the Disciplinary Lens

Disciplines do more than give different names to things

It is tempting to imagine disciplinary differences as vocabulary problems. Psychology uses one term, sociology another, education a third, and perhaps a good thesaurus can reunite everyone.

Sometimes terminology really is the main barrier. Often it is not.

Disciplines develop characteristic concepts, theories, methods, research traditions, and standards of evidence. Consequently, disciplinary differences may affect what researchers consider important about a phenomenon in the first place.

A psychologist studying students' use of generative AI might focus on cognitive trust, self-efficacy, metacognition, or behavioral intention. An education researcher might focus on learning processes, assessment, feedback, or pedagogical practice. An information-systems researcher might examine technology acceptance, continuance intention, or system characteristics. A sociologist might foreground institutional norms, inequality, social relations, or organizational structures.

All could plausibly say they are studying “AI use among students.” That shared label conceals considerable differences in the actual problem being constructed.

First ask whether the object of study is genuinely shared

Begin by stripping away disciplinary terminology and describing the observable phenomenon as neutrally as possible.

Suppose one literature investigates why students stop using an online learning platform, while another investigates learner attrition from technology-mediated courses. The terminology differs, but both may concern the same observable event: learners discontinuing participation.

Now compare that with a literature on institutional withdrawal from online degree programs. The word “withdrawal” appears related, but the object of study has changed from individual learner behavior to organizational decision-making.

Shared vocabulary therefore does not guarantee a shared problem, just as different vocabulary does not guarantee different problems.

Compare how each discipline defines the phenomenon

Once you establish that the literatures concern a similar object, inspect their definitions.

Definitions establish conceptual boundaries. One field may define engagement primarily through observable participation. Another may treat engagement as a multidimensional construct involving behavior, cognition, and emotion. A third may conceptualize engagement relationally, emphasizing interactions among learners, technologies, teachers, and environments.

These are not necessarily alternative words for the same construct. They may represent different decisions about what belongs inside the phenomenon.

Create a simple conceptual map for each discipline. Record the central construct, its definition, what is included, what is excluded, and the indicators researchers use to recognize it empirically. Differences become much easier to see once they are placed side by side.

Compare the causal or explanatory story

Two disciplines may agree about what is happening but disagree about why.

Consider unequal academic achievement. A psychological account might investigate motivation, cognition, self-regulation, or beliefs. A sociological account might emphasize social class, institutional structures, cultural resources, or patterns of opportunity. An educational account might foreground curriculum, pedagogy, assessment, school organization, or teacher practice.

These explanations need not be mutually exclusive. They operate through different mechanisms and sometimes at different levels of analysis.

Ask each literature the same question: What would researchers in this field consider an adequate explanation for the phenomenon?

The answer often reveals more than the terminology does.

Identify the level of analysis

Many apparent disciplinary disagreements occur because fields are explaining phenomena at different levels.

One discipline may study individuals. Another may focus on groups, institutions, technologies, communities, or systems. Both can be investigating the same broad problem while locating its explanatory mechanisms in different places.

Neither level is automatically more correct. Problems arise when researchers combine explanations across levels without specifying how they relate.

Compare what counts as evidence

Disciplinary differences can also be epistemological. Fields may differ in the kinds of claims they prioritize and the evidence they consider appropriate for supporting them.

One research tradition may seek controlled comparisons, measurable variables, and statistical regularities. Another may investigate meaning through participants' accounts and situated interpretation. Another may emphasize historical processes, institutional structures, formal models, computational traces, or design performance.

This does not mean every researcher within a discipline follows a single epistemology. Disciplines are internally diverse, sometimes impressively so. Still, research traditions can embody assumptions about what can be known and how knowledge claims should be justified.

Those assumptions matter because interdisciplinary integration cannot be reduced to putting results from different methods in adjacent sections. Researchers need to determine whether the evidence addresses complementary aspects of the same claim, different claims about the same phenomenon, or claims grounded in assumptions that are difficult to combine.

Compare the outcomes each field is trying to explain

Two literatures can begin with the same phenomenon yet care about different consequences.

For example, research on generative AI in universities might examine learning outcomes, academic integrity, adoption behavior, labor implications, institutional governance, privacy, or technological performance. Those literatures overlap around the technology but may not share a research problem.

Ask what dependent phenomenon, consequence, decision, or state each field ultimately wants to understand. If the outcomes differ substantially, you may be looking at neighboring problems rather than competing explanations of the same one.

Look for translation problems before assuming a research gap

Disciplinary literatures frequently develop specialized vocabularies. A phenomenon described as “continuance intention” in one field might overlap with persistence, sustained use, retention, or continued participation elsewhere. The overlap may be partial rather than exact, but searching only one term can make established research look absent.

Before claiming that another discipline has ignored a problem, learn how researchers there describe it. This may require searching concepts, mechanisms, outcomes, and observable behaviors rather than relying on your familiar keyword. A systematic approach to searching a problem that uses different terminology across fields can reveal connections that database searches based on one disciplinary vocabulary miss.

This is particularly important when evaluating whether a research gap exists between disciplines. Sometimes the apparent gap is partly a gap in communication, indexing, or terminology.

Check whether one discipline already contains the supposedly different explanation

Disciplinary boundaries should not be exaggerated. Psychology is not one theory. Education is not one methodology. Sociology is not one level of analysis. Computer science is not simply the study of technology.

Before concluding that two explanations belong to separate disciplinary worlds, inspect the internal diversity of each field. The supposedly external concept may already have a substantial literature within the first discipline, perhaps under another theoretical tradition.

Likewise, the answer one field is searching for may already be established elsewhere. Recognizing when another discipline already has an answer your field thinks is missing can prevent an interdisciplinary project from being built on a false novelty claim.

Difference is useful only after you identify what kind of difference it is

Once two disciplinary accounts are mapped, their relationship can take several forms.

This classification is an analytical aid rather than a universal taxonomy. Real disciplinary relationships can be messier. Still, forcing yourself to describe the relationship is considerably more informative than simply declaring that “the disciplines have different perspectives.”

Two Fields Can Explain the Same Student Behavior Very Differently

The first literature may frame continued use as a technology-adoption or continuance problem. Researchers might examine perceived usefulness, expectations, satisfaction, ease of use, or behavioral intention.

The educational literature may frame the same observable behavior as part of students' learning and study practices. Researchers might instead ask how AI use relates to self-regulation, feedback seeking, task difficulty, assessment practices, or students' developing competence.

The two fields are not different simply because their terminology differs. They are constructing different explanatory accounts around a substantially overlapping behavior. That distinction creates a possible interdisciplinary opportunity, but only if the research question needs both explanations.

Common Mistakes When Comparing Disciplinary Perspectives

Map the Disciplines Before Trying to Combine Them

If two literatures appear related, resist the temptation to merge their terminology immediately. First reconstruct the problem as each discipline understands it.

This mapping can also tell you whether an interdisciplinary project is warranted at all. Different disciplinary treatments become useful when their relationship helps answer the question. Merely discovering that another field talks about your topic differently is not enough.

And occasionally the comparison uncovers something more troublesome: the disciplines may disagree about what the phenomenon fundamentally is, what causes it, or what constitutes valid evidence. In that situation, you need to determine whether disciplinary assumptions make the proposed research question internally inconsistent before proceeding.

How to Compare Two Disciplinary Accounts of a Problem

Questions About Comparing Disciplines

Compare What the Disciplines Are Explaining, Not Just What They Call It

How to Cite This Guide

This guide is intended to be read, shared, and used in research, teaching, and academic work. If you draw on its ideas, explanations, or other content, please acknowledge the source by citing the guide. Doing so gives appropriate credit and helps your readers locate the original resource.