Finding a Research Idea Worth Pursuing
You should not fully design the study while developing the research question, but you cannot ignore methodology either. Before detailed design begins, you need enough methodological thinking to know that the question is answerable, feasible, ethical, and capable of being matched with suitable evidence.
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Finding What the Literature Really Says
Studies can examine the same broad question yet reach different conclusions partly because their designs generate different kinds of evidence and face different threats to validity. Comparing how the evidence was produced can clarify whether findings genuinely conflict.
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Building a Foundation Your Study Can Stand On
Your conceptual foundation does not need to answer every question before research design begins. It does need to be clear enough that you know what you are investigating, why it matters, and what evidence would be capable of answering the question.
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Designing a Study You Can Defend
The right research design is not simply the most rigorous design you know. It is the design that can generate credible evidence for the question you are actually asking while remaining ethical and realistically executable.
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Designing a Study You Can Defend
Research design is the overall structure that connects a research question to the evidence needed to answer it. Its purpose is not merely to describe procedures, but to make the resulting conclusions as credible and defensible as the study permits.
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Designing a Study You Can Defend
Research design is the structure and logic of a study, while research methods are the procedures used to generate and analyze evidence within that structure. Understanding the distinction helps you explain not only what you did, but why those procedures can answer your research question.
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Designing a Study You Can Defend
Exploratory, descriptive, explanatory, and evaluative are often called research designs, but they more precisely describe what a study is trying to accomplish. The distinction matters because a research purpose does not by itself specify how the study will generate credible evidence.
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Designing a Study You Can Defend
One study can contain more than one research design when different components require distinct structures yet remain meaningfully integrated around a common research problem. Multiple methods, phases, or questions, however, do not automatically mean multiple designs.
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Designing a Study You Can Defend
Name your research design specifically enough to communicate the structural features that matter, but do not turn the label into a catalogue of every methodological decision. A concise established term plus clear methodological detail is usually more informative.
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Designing a Study You Can Defend
A study needs a defensible design, but that does not mean every study must fit one neat design label. Name the design when an established term improves clarity or reporting standards require it, while prioritizing an accurate description of what was actually done.
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Designing a Study You Can Defend
A research design is appropriate when its structure can generate evidence capable of answering the specific research question and supporting the intended conclusion. Appropriateness depends on alignment, not on whether a design is considered prestigious or rigorous in the abstract.
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Designing a Study You Can Defend
Two different research designs can sometimes address the same research question, but they may not answer it with the same evidence or certainty. Comparing designs means examining what each makes observable, what assumptions it requires, and what conclusions it can support.
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Designing a Study You Can Defend
There is not always one universally best research design for a question. The strongest choice depends on the answer you need, the assumptions you can defend, the threats that matter, and the ethical and practical conditions under which the research must be conducted.
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Designing a Study You Can Defend
Primary and secondary data are not simply two ways of obtaining the same evidence. Whether you collect new data or work with existing data changes which parts of the study you can design yourself and which constraints you inherit.
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Designing a Study You Can Defend
A defensible research design is not simply one that follows a recognized method. It is one in which the research question, evidence, procedures, analysis, and conclusions are coherently aligned and the important methodological choices can be justified.
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Designing a Study You Can Defend
Testing a research design before the main study can reveal problems with recruitment, procedures, instruments, data management, and analysis while there is still time to fix them. The appropriate form and extent of testing depend on what is uncertain and how consequential failure would be.
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Designing a Study You Can Defend
You can sometimes change a research design after data collection has started, but the timing, reason, consequences, and documentation of the change matter. The key is to adapt transparently without quietly redefining the study around what the emerging data appear to show.
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Designing a Study You Can Defend
Research designs depend on assumptions about participants, measurements, implementation, comparisons, and how the data will answer the research question. When an important assumption proves wrong, determine what part of the study depends on it before deciding whether to adapt, reinterpret, or redesign the research.
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Designing a Study You Can Defend
Stopping or redesigning a study may be more defensible than continuing when the design can no longer generate evidence capable of answering a worthwhile research question. The decision should follow a structured assessment of what failed, what can be repaired, what evidence remains usable, and whether continued research is still scientifically and ethically justified.
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Doing Research Without Compromising Ethics
Research design is not separate from research ethics. An ethics committee needs to understand how a study is designed because poor or inappropriate methods can expose participants to burdens without a reasonable prospect of producing useful knowledge.
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Artificial Intelligence in Research
Generative AI can help identify threats to research validity before data collection, including selection differences, measurement problems, attrition, and inappropriate causal assumptions. Learn how to evaluate AI-identified concerns and determine whether proposed safeguards actually address them.
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Artificial Intelligence in Research
Generative AI can help researchers evaluate whether a proposed study design is practical by examining recruitment, resources, timelines, expertise, ethics, and implementation requirements. Learn how to distinguish methodological suitability from operational feasibility and avoid relying on unsupported AI assumptions.
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Artificial Intelligence in Research
Generative AI can support research design planning, but decisions involving scientific purpose, causal assumptions, ethical trade-offs, methodological interpretation, and accountability must remain under human responsibility. Learn where AI assistance is useful and where researchers must exercise independent judgment.
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Finding What the Literature Really Says
A sophisticated analysis is not necessarily an appropriate one. Check whether the analysis respects how the data were generated, the outcome being studied, dependencies among observations, timing, comparisons, and the type of conclusion the researchers want to draw.
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Designing a Study You Can Defend
You should aim for the strongest design that can answer your research question and that you can actually execute well. When the ideal design is infeasible, the solution may be to choose a defensible alternative or revise the question, not to pretend that a weaker design answers the original question equally well.
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