03 · What You Need to Know
When Research Cost Becomes a Feasibility Problem
Scientific merit does not guarantee thesis feasibility
A research question can satisfy many characteristics associated with strong research. It may address an important problem, fill a meaningful gap, have theoretical or practical relevance, and support a rigorous methodology.
Feasibility remains a separate consideration.
The FINER framework for research questions makes this distinction explicit by treating feasibility alongside interest, novelty, ethics, and relevance. A worthwhile question still has to be answerable with the participants, time, expertise, resources, and funding realistically available to the project.
This is especially important for student research. A question appropriate for a five-year funded program involving several institutions may be wholly inappropriate for a one-year master's thesis conducted largely by one researcher.
The question has not become less interesting. The research environment has changed what can reasonably be done with it.
Ask what it costs to answer the question properly
The relevant financial question is not "How cheaply can I conduct something on this topic?"
It is: What resources are necessary to produce evidence capable of answering this question credibly?
Suppose your question requires a laboratory biomarker measured before and after an intervention. Removing the biomarker because the assay is expensive may reduce the budget, but if that measurement is central to the question, you have also removed the evidence needed to answer it.
Likewise, reducing a required multisite study to one convenient site, eliminating necessary follow-up, using an unsuitable free instrument, or shrinking the sample below what the analysis requires may lower expenditure while changing what the study can establish.
Cost reduction becomes methodologically useful only when the cheaper design remains capable of answering the research question you ultimately claim to address.
Build the real budget before deciding that the study is too expensive
A study can look unaffordable because its costs have been overestimated, just as it can look affordable because important expenses have been ignored.
Before rejecting the question, conduct a proper cost estimate. Identify software, equipment, consumables, travel, participant reimbursement or payment, transcription, translation, data access, laboratory services, specialist consultation, storage, communication, personnel, and other resources required by the methodology.
Then determine quantities and current unit costs rather than relying on broad guesses.
If you have not done this yet, first work through how much the research software, equipment, travel, transcription, participant payment, and other requirements actually cost. You cannot meaningfully decide that a study is too expensive until you know what is driving the expense.
Separate the cost of the ideal study from the minimum defensible study
Researchers often imagine the strongest conceivable design and then treat every feature of it as essential.
Some features genuinely are essential. Others improve precision, scope, convenience, efficiency, or ambition without determining whether the central question can be answered.
Ideal study
The design you might choose with generous funding, time, sites, personnel, equipment, and methodological support.
Minimum defensible study
The least resource-intensive version that still produces evidence appropriate to a worthwhile research question and supports the claims you intend to make.
The phrase minimum defensible matters. It does not mean the cheapest possible study. It means the point below which further reductions would make the design inadequate for the question.
Classify costs by what happens if you remove them
When the budget is too high, examine each major expense according to its methodological role.
| Cost category |
What removing it would do |
Possible response |
| Scientifically essential |
The study could no longer answer its central question credibly. |
Secure the resource, change the question, or postpone the study. |
| Method-dependent |
The cost disappears if another defensible method is used. |
Compare alternative designs and their implications. |
| Scope-expanding |
The study becomes narrower but may retain its central contribution. |
Consider reducing sites, secondary outcomes, populations, or other nonessential scope where justified. |
| Efficiency-enhancing |
Removing the expense increases researcher workload but may not change the evidence itself. |
Compare financial savings with the additional time required. |
| Optional enhancement |
The core study remains intact without it. |
Remove or defer it. |
This approach is preferable to cutting whichever item has the largest price tag. The largest expense may also be the feature that makes the study scientifically meaningful.
Check what your institution already provides
A study that appears unaffordable as an independent project may become feasible when institutional resources are counted properly.
Your university may provide statistical software, qualitative-analysis software, survey platforms, secure storage, laboratory equipment, library databases, recording devices, research facilities, methodological consultation, or other services. A supervisor's funded project may provide access to equipment or data under appropriate arrangements.
Verify availability rather than assuming it. A laboratory may exist but be unavailable to student projects. Software may be licensed only for staff. Equipment may be fully booked during your data-collection period. A methods center may offer only limited consultation.
The next resource question is therefore not simply what the institution owns, but whether you can actually rely on the facilities and resources your study requires.
Look for legitimate funding before redesigning a strong study
If the question is strong and the financial gap is manageable, investigate whether funding can reasonably close it.
Depending on your setting, possible sources may include university thesis or dissertation grants, departmental research funds, faculty research projects, professional societies, government agencies, foundations, travel awards, research centers, or external grants.
The University of the Philippines, for example, maintains research and creative work funding mechanisms through its constituent universities and research offices, while the Department of Science and Technology and its councils administer research funding programs in areas within their mandates. Eligibility, funding scope, schedules, and application requirements vary and should be checked against current official calls.
Funding should not be treated as guaranteed simply because a program exists. Application preparation, review, release of funds, procurement, and reimbursement can all affect the project timeline.
Funding that arrives too late does not solve the thesis problem
A grant can make the study affordable in principle while leaving it infeasible in practice.
Suppose you need equipment before recruitment begins, but the funding decision will not be announced until halfway through your data-collection window. Or perhaps the award is reimbursable, meaning you must initially pay the expenses yourself.
Check when applications open, when decisions are made, when funds become usable, what purchases are permitted, and whether institutional procurement is required.
Money and time interact. A resource is useful only if it becomes available before the research activity that depends on it.
Do not assume that you can personally absorb the shortfall
Student researchers sometimes treat personal payment as the default contingency for every unfunded expense.
Set a limit before the costs begin accumulating.
Determine what amount, if any, you are genuinely willing and able to contribute without creating financial hardship. Do not design a project around the assumption that future you will somehow find the money because abandoning the study later would feel worse.
Financial feasibility should be assessed prospectively, not through escalating commitment after the project has already begun.
Be careful when replacing money with your own labor
Many expenses can be reduced by doing the work yourself.
You can transcribe interviews, write code, travel by less expensive routes, conduct every interview, manage the database, prepare figures, and learn open-source software rather than paying for services.
This can be a sensible strategy. It can also transfer the feasibility problem from money to time and skill.
Financial saving
A paid service or resource is replaced with researcher labor or another lower-cost option.
Feasibility saving
The replacement reduces total project demands without creating an unacceptable burden elsewhere.
The two are not always the same.
If self-transcription saves money but consumes the month reserved for analysis, the project has not necessarily become more feasible. It has merely moved the bottleneck.
Reducing sample size is not a general budgeting strategy
When participant-related costs dominate the budget, reducing the sample can appear to be the easiest solution.
Sometimes a smaller sample is entirely appropriate because the original target was unnecessarily large or the design has changed. In other cases, the sample requirement follows from the analysis, desired precision, population structure, or methodological approach.
Do not decide on a cheaper sample first and then search for a statistical justification afterward.
If a quantitative study cannot afford the sample needed for its intended analysis, seek methodological advice about whether another design or research question is defensible. A smaller but underpowered or otherwise inadequate version of the same study may save money while producing little useful evidence.
Reducing the number of sites may change the population represented
Multisite research can be expensive because of travel, coordination, permissions, staffing, and repeated procedures. Moving to one site can reduce costs dramatically.
Whether that is methodologically acceptable depends on why multiple sites were included.
If the sites merely increased recruitment capacity and one site can provide an adequate relevant population, reducing sites may be reasonable. If the research question explicitly concerns variation across institutions or requires broader population coverage, a single-site design may answer a different question.
Cost reduction should therefore be accompanied by a corresponding reconsideration of the population and claims.
Remote data collection can save money, but only when it fits the study
Online surveys, videoconference interviews, remote assessments, electronic consent where appropriate, and digital data collection can reduce travel, venue, printing, and some staffing costs.
They can also alter who participates, what can be observed, how rapport develops, what equipment participants need, and which measurements are possible.
Do not choose remote procedures solely because they are cheaper. Ask whether they remain appropriate for the population, research question, measurement, ethics requirements, and data quality needed by the study.
Existing data can replace expensive primary data collection
If collecting the required evidence yourself is prohibitively expensive, existing datasets, administrative records, registries, archives, or open data may provide another route.
This can substantially reduce recruitment and data-collection costs. It also means accepting measures, populations, timeframes, and data structures that you did not design.
The substitution works only when the existing source can answer a worthwhile version of the research question. Before switching, determine whether the dataset is actually suitable for the proposed study and whether access introduces its own costs or restrictions.
A pilot study is not simply a cheaper substitute for the full study
When the full study is unaffordable, researchers sometimes propose conducting a small pilot instead while retaining the original substantive aims.
A genuine pilot or feasibility study has its own purpose: to examine whether procedures, recruitment, intervention delivery, measurement, retention, or other aspects of a future larger study can work. It is not merely an inadequately funded definitive study with fewer participants.
If a feasibility study would make a worthwhile contribution and fits your degree requirements, it may be a defensible redesign. The research question and conclusions should then concern feasibility rather than pretending to answer the original effectiveness or association question at reduced scale.
Qualitative research is not automatically the cheap alternative
Qualitative studies often require fewer participants than large surveys or experiments, but they can involve substantial interviewing, transcription, travel, translation, qualitative software, iterative analysis, and researcher time.
More importantly, qualitative research answers different kinds of questions.
If your original question concerns prevalence, causal effects, or population-level quantitative relationships, switching to interviews because they appear cheaper does not preserve the same research question. A qualitative redesign is appropriate only when the revised question genuinely fits qualitative inquiry.
Ask whether the expensive component is central to the contribution
Sometimes most of the budget is consumed by a secondary ambition rather than the central research problem.
Your thesis may include a core question that can be answered locally and an additional international comparison requiring extensive travel. Perhaps one primary outcome is affordable while several exploratory biomarkers are costly. Maybe a simple observational component is central while an optional experimental extension requires expensive equipment.
Identify which component carries the intellectual contribution you most need to preserve.
Removing a costly secondary component can sometimes improve the project by making the argument more focused as well as more feasible.
Consider staged research instead of forcing everything into one thesis
A valuable research program does not have to be completed in one project.
Your thesis might answer the first necessary question, establish preliminary evidence, validate a measure, analyze an accessible dataset, characterize a population, or conduct feasibility work. A later funded project can extend the work with more sites, longer follow-up, expensive measurements, or a larger sample.
This is not necessarily settling for a weaker thesis. It can reflect a more realistic understanding of how research programs develop.
One thesis does not have to exhaust the topic. Academia will, with impressive efficiency, leave plenty of unanswered questions for later.
Do not cut ethical protections to save money
Some expenses arise because research participants and data need appropriate protection.
Secure storage, trained staff, appropriate consent processes, safe facilities, monitoring, translation needed for informed participation, or other protections may cost money. These are not optional luxuries merely because the budget is tight.
Likewise, participant reimbursement or payment arrangements should follow the applicable ethical and institutional requirements rather than being removed or manipulated solely to make the spreadsheet balance.
If the study cannot afford to be conducted responsibly, it cannot afford to be conducted in its present form.
Do not make the study affordable by compromising data quality
Cheaper measurements, instruments, services, or procedures may sometimes be entirely adequate. Sometimes they are not.
If a lower-cost instrument has insufficient validity or precision for the intended construct, if poor recording equipment makes interviews unusable, or if an inexpensive laboratory procedure cannot provide the measurement the question requires, the apparent saving may undermine the evidence.
Evaluate lower-cost alternatives methodologically, not merely financially.
Watch Out
A study is not financially feasible merely because you can reduce its cost until it fits your budget. If the reductions remove the sample, measurements, procedures, protections, or analytical support required to answer the research question credibly, you have made the study cheaper by making it a different or inadequate study.
Know the point at which redesign is preferable to fundraising
Funding applications also consume time, and funding is uncertain.
If the financial gap is small, an appropriate internal grant or confirmed institutional resource may solve the problem. If the study requires a major external grant whose review period exceeds your thesis timeline, the funding strategy itself may be infeasible.
Ask whether pursuing the necessary money is realistic within the project period. If not, redesigning the study may be more sensible than making completion depend on a funding decision that arrives after you needed the funds.
Sometimes the question should be saved for later
There are research questions whose scientifically defensible designs are simply beyond the resources of a current thesis.
Perhaps the study requires a national probability sample, expensive imaging, international fieldwork, years of follow-up, proprietary data, or a large multidisciplinary team. If simplifying those requirements destroys the question's value, postponement may be preferable to conducting a compromised version.
The question can remain part of your longer research agenda. A thesis can investigate an earlier or narrower question that builds toward it.
This is a feasibility judgment, not a verdict on the intellectual quality of the idea.
