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A dataset may contain the right variables and population but cover the wrong period for your research question. Learn how to evaluate dates, duration, timing, waves, and temporal sequence before committing to existing data.
Read Guide →A dataset may have the right variables, population, and time period yet lose much of its value when essential observations are missing. Learn how to assess missingness before committing to the study.
Read Guide →Data are difficult to reuse responsibly when you cannot determine what the variables mean, how observations were produced, or what processing occurred. Learn when documentation gaps become a feasibility problem rather than a minor inconvenience.
Read Guide →Inspecting existing data before finalizing a research question can prevent you from designing a study the dataset cannot support. The challenge is separating legitimate feasibility checks from looking at results and then constructing the question around what appears interesting.
Read Guide →Not every worthwhile research question can be answered with the data currently available. Learn when to adapt the study, seek different evidence, or stop rather than force a weak dataset to support a stronger conclusion than it can justify.
Read Guide →An unfamiliar analysis does not automatically make a research question infeasible. Learn how to judge whether the analytical gap is a reasonable learning challenge, requires specialist support, or signals that the study should change.
Read Guide →Specialists are most useful before difficult research decisions become irreversible. Learn when statistical, methodological, technical, or other expertise should enter your project and what to prepare before asking for help.
Read Guide →A research question can be important, original, and methodologically sound yet still be a poor thesis project if answering it properly costs more than you can realistically afford. Learn when to fund, redesign, narrow, or postpone it.
Read Guide →The ideal study may require more money than you have. Learn how to identify what is essential, compare lower-cost designs, narrow scope intelligently, and preserve the strongest research question your resources can support.
Read Guide →Simplifying a study can make it more focused, affordable, and achievable. But simplify too far and you may remove the evidence or significance that made the research worthwhile. Learn where to draw the line.
Read Guide →Some research ideas are worth pursuing but impossible under your current time, access, funding, skills, participants, or resources. Learn how to preserve the idea, identify what makes it infeasible, and build a realistic pathway toward studying it later.
Read Guide →Every research plan contains assumptions, but some matter far more than others. Identifying the assumption that could make your study impossible if it is wrong helps you test feasibility before committing to a design that depends on hope rather than evidence.
Read Guide →A promising research question may depend on participants, data, equipment, expertise, permissions, or other resources that are not actually secured. Learn which dependencies should be verified before you commit and what counts as meaningful verification.
Read Guide →An important research question should not automatically be abandoned because it requires an unfamiliar method. The real decision is whether you can develop the necessary competence, support, and time without compromising the study.
Read Guide →Learning a new method can be a legitimate part of a research project, but the learning curve still has to fit the calendar. Assess when methodological development is realistic and when it becomes a serious feasibility risk.
Read Guide →A study may depend on one hospital, school, company, government agency, or community organization for participants, data, facilities, or permission. Learn when that dependence becomes a serious feasibility risk and what to verify before committing to it.
Read Guide →Some research uncertainties can be resolved by checking records or asking the right person. Others need to be tested in practice. Learn when a small feasibility check is worth doing before you commit to the full study.
Read Guide →Research ethics should enter the conversation before your research question is finalized, not only when you prepare an ethics application. Early ethical thinking can reveal whether a worthwhile question can be investigated responsibly and whether the question itself needs refinement.
Read Guide →An important research question does not automatically justify every study that could answer it. When obtaining an answer would expose participants to risks or burdens that cannot be adequately minimized or justified, the method or even the question may need to change.
Read Guide →The method that would produce the strongest evidence is not always a method researchers may ethically use. The solution is usually to find the strongest ethically defensible alternative and adjust the research question or conclusions to match the evidence it can provide.
Read Guide →Sensitive topics can often be studied ethically, but the topic alone does not determine the risk. Researchers should examine what participation actually requires, what could go wrong, and how the study can obtain useful evidence without creating avoidable harm.
Read Guide →The possibility of a difficult ethics review should inform research planning, but difficulty obtaining approval is not itself a reason to abandon a worthwhile question. What matters is why approval may be difficult and whether that difficulty reveals a substantive ethical or feasibility problem.
Read Guide →Research involving people in situations of vulnerability or populations that are difficult to reach may be both necessary and ethically justified. Before committing to the question, examine why their participation is necessary, what makes participation or access difficult, and what protections the research context requires.
Read Guide →Some research questions require information that cannot responsibly be collected, linked, accessed, or reported in the form researchers would prefer. Before abandoning the question, determine whether you can reduce identifiability, change the data source or level of analysis, or narrow the question without losing what you actually need to know.
Read Guide →A dataset may contain exactly the evidence your study needs and still be unavailable for legitimate research use. When access cannot lawfully or ethically be obtained, redesign the evidence strategy or research question rather than treating access restrictions as obstacles to bypass.
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