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Should your study be quantitative, qualitative, or mixed methods? Learn how to choose a research approach based on the question you need to answer rather than the method you already know.
Read Guide →A finding may deserve replication precisely because people are making important decisions from evidence that remains uncertain. The stronger the consequences of being wrong, the stronger the case for rigorous independent verification, provided the replication can genuinely improve the evidence.
Read Guide →Wide acceptance does not make a scientific finding permanently exempt from replication. The relevant question is whether another replication could resolve meaningful uncertainty that the existing evidence has not already addressed.
Read Guide →A study that has never been independently replicated may be a strong replication candidate, particularly when an important claim depends heavily on it. Lack of independent replication creates an evidential gap, but it does not automatically make every unreplicated study worth repeating.
Read Guide →Before replicating an influential finding, determine what the existing evidence already shows. A systematic review may confirm the need for replication, refine its design, or reveal that a different study is needed.
Read Guide →A literature full of studies does not necessarily need another dataset. When existing evidence has never been synthesized properly, the first research gap may be a synthesis gap rather than a data gap.
Read Guide →Finding no previous study from your country establishes geographical novelty, but not necessarily scientific necessity. A stronger rationale explains what remains uncertain and why local context could change the answer.
Read Guide →Local replication becomes difficult to justify when existing evidence already answers the question across comparable contexts and the new study provides no informative test of generalizability, mechanism, or application.
Read Guide →Finding that a population is underrepresented establishes a gap in representation, but not necessarily a sufficient reason for another study. A stronger justification explains what important knowledge remains uncertain because of that underrepresentation.
Read Guide →Researchers bring methodological and disciplinary expertise, but they are not always the only people qualified to decide which questions matter for an underrepresented population. When research concerns a population's needs, experiences, services, or priorities, people affected by the research may hold knowledge necessary for deciding what is worth studying.
Read Guide →Research developed with a community can be more valuable when community knowledge materially improves the question, design, interpretation, implementation, or usefulness of the findings. Collaboration is not automatically superior, however, and should be chosen because it improves the research rather than because participation itself sounds preferable.
Read Guide →Sometimes resistance to a research question may reveal that meaningful interests, assumptions, or consequences are at stake. But opposition is not evidence that a question is important: an unwanted question still has to earn its scientific value.
Read Guide →A research question may be important and methodologically sound yet still be infeasible because the necessary participants, records, settings, or observations cannot be accessed. The key question is whether available evidence can still support the inference the study intends to make.
Read Guide →Using existing data can make a thesis faster and less dependent on recruitment, but convenience is not enough. The better choice is the data strategy that can answer the research question credibly within the student's constraints.
Read Guide →Publication potential can be a useful consideration when choosing a thesis question, but it should not become the primary criterion. A strong thesis must first be defensible, feasible, and appropriate for the degree.
Read Guide →A minimum viable research question is the smallest question that can still support a meaningful, rigorous, degree-appropriate scholarly contribution. It is a baseline for protecting completion, not a target for doing the least possible work.
Read Guide →A research question does not become interdisciplinary simply because several fields could contribute to it. The stronger test is whether answering the question adequately requires knowledge, concepts, methods, or perspectives that no single discipline can reasonably supply on its own.
Read Guide →A research gap can exist between disciplines even when each field already has a substantial literature. The missing contribution may be the connection, comparison, or integration of knowledge that has developed separately.
Read Guide →What looks like an unanswered research problem in one discipline may already have a substantial literature elsewhere. Before claiming a gap, check whether another field has studied the same phenomenon using different concepts, terminology, methods, or assumptions.
Read Guide →The same research problem may be described with different terminology across disciplines, making relevant literature surprisingly difficult to find. A strong cross-disciplinary search translates the problem into concepts, disciplinary vocabularies, controlled terms, and alternative expressions before combining the results.
Read Guide →You can develop an interdisciplinary research idea before every collaborator is in place, but you should be cautious about finalizing disciplinary components you are not qualified to design alone. Relevant collaborators are often most valuable while the question, framework, methods, and integration strategy are still changeable.
Read Guide →Interdisciplinary questions can expand quickly because every discipline reveals another legitimate part of the problem. The solution is not to remove interdisciplinarity, but to limit what must be integrated to answer one specific question.
Read Guide →An interdisciplinary study does not always need a perfectly balanced framework. When one discipline provides the concepts and explanatory logic closest to the central research question, it can serve as the primary framework while other disciplines make necessary and explicitly integrated contributions.
Read Guide →An interdisciplinary question can look coherent at the level of vocabulary while combining assumptions that do not fit together. Checking how each discipline defines the phenomenon, explains causation, values evidence, and understands knowledge can expose these conflicts before they undermine the study.
Read Guide →Several disciplines can contribute to the same project without producing interdisciplinary research. The stronger test is whether their concepts, evidence, methods, or explanations interact in ways that change the resulting understanding.
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