Does Producing More Research Automatically Improve Accreditation Outcomes?

If Research Counts in Accreditation, Should a University Simply Produce More?

The logic seems straightforward. If research appears in accreditation or quality-assurance criteria, then increasing publications should improve the institution's position. Ten papers should be better than five, fifty better than ten, and eventually someone produces a spreadsheet in which every department receives a publication target.

The problem is that this reasoning quietly replaces research quality with research quantity.

Some accreditation, evaluation, or regulatory systems do use quantitative research indicators. In those contexts, producing additional eligible outputs may improve performance on a particular indicator. Yet accreditation commonly considers multiple standards, and research itself can be evaluated through dimensions that publication counts do not capture.

The correct answer therefore depends on what the applicable framework actually measures and how the additional research was produced.

More Research Can Improve a Research Indicator Without Automatically Improving Accreditation

Quantity Is One Possible Indicator, Not a Complete Quality Model

First Ask Whether Research Quantity Is Actually Part of the Standard

The first mistake is assuming that every accreditation system rewards publication volume. Accreditation requirements differ among countries, agencies, programs, and institution types.

An external framework may specify quantitative research evidence. It may instead require evidence of scholarship, research capability, research training, integrity, or mission fulfillment. Some frameworks distinguish expectations according to whether an institution has substantial research responsibilities.

Before establishing a target, universities should therefore verify the current official standards and determine exactly what the indicator measures.

If Quantity Is Explicitly Measured, More Eligible Output Can Matter

Suppose an evaluation system awards points according to the number of qualifying research outputs. Holding everything else constant, increasing the number of eligible outputs can improve performance on that specific indicator.

This is a mathematical consequence of the indicator, not evidence that research quantity universally improves accreditation.

The qualification matters because outputs may need to satisfy definitions concerning type, period, authorship, indexing, peer review, institutional affiliation, or other conditions. A paper that does not meet the framework's definition may add nothing to the score.

An Indicator Score and an Accreditation Outcome Are Different Things

Accreditation generally involves multiple standards. Even substantial improvement in research output may not compensate for weaknesses elsewhere if the framework requires minimum performance across several domains.

A university could improve its publication count while still having deficiencies in teaching, student support, governance, research integrity, infrastructure, postgraduate supervision, or another area relevant to the applicable framework.

More Publications Do Not Necessarily Mean Better Publications

Quantity and quality are empirically distinct. A study of Chilean universities examining institutional accreditation alongside research indicators found that accreditation was more strongly associated with publication quantity than with measures intended to capture research quality and impact. Importantly, the study also reported no general relationship between the number of publications and their quality, with negative correlations appearing in some cases.

This finding comes from a particular national system and set of bibliometric indicators, so it should not be generalized to all countries. It nevertheless illustrates why publication volume should not be treated as a substitute for research quality.

Research Quality Is Difficult to Reduce to One Number

Quality can refer to methodological rigor, originality, credibility, transparency, significance, reproducibility where applicable, contribution to knowledge, or fitness for purpose. No single bibliometric indicator captures all of these dimensions.

Journal quartiles, citation measures, indexing status, peer review, funding success, and publication counts can provide information about aspects of the research environment or scholarly reception. None independently proves that an individual study is high quality.

Quality assurance therefore needs judgment and multiple forms of evidence rather than assuming that one number can carry the entire evaluation.

Output Targets Can Change Researcher Behavior

Targets are not passive measurements. Once careers, budgets, accreditation, or institutional status depend on them, people have reasons to optimize performance against those targets.

This can produce desirable behavior. Researchers may become more active, complete unfinished work, seek collaborations, strengthen writing support, or disseminate findings that would otherwise remain inaccessible.

It can also produce undesirable behavior if the target is too narrow. Researchers may prioritize questions that generate outputs quickly, divide studies into smaller publication units, avoid time-consuming research, or focus heavily on the kinds of outputs recognized by the metric.

These possibilities do not mean quantitative targets are always inappropriate. They mean institutions should evaluate what behavior a target is likely to reward.

Accreditation Pressure Can Increase Research Production

Evidence from Ecuador shows how strongly external evaluation can influence institutional behavior. Following national evaluation and accreditation reforms that emphasized research indicators, Ecuadorian universities substantially increased scientific production indexed in Scopus. The study examining this change interpreted accreditation and evaluation processes as important drivers of the increase.

This demonstrates that accreditation systems can stimulate research activity. It does not establish that every additional output was equally valuable or that publication growth alone represented comprehensive improvement in research quality.

Producing More Research Can Strain Weak Research Systems

If an institution substantially increases research expectations without strengthening the systems that support research, unintended problems can follow.

More projects require more supervision, ethics review, data management, research administration, methodological support, funding, library access, computing, and time. More manuscripts require researchers capable of conducting and reporting the underlying studies appropriately.

This is why institutional research capacity matters. Increasing output sustainably requires more than asking the same people and systems to produce more.

Quantity Can Be Especially Misleading Across Disciplines

Publication practices differ dramatically. Some fields commonly publish multi-author journal articles several times per year. Others produce monographs, creative works, lengthy field studies, critical editions, conference proceedings, datasets, software, patents, or other outputs on different timelines.

A uniform numerical target can therefore create unequal incentives across disciplines unless the framework explicitly accounts for these differences.

This is one reason accreditation and research-assessment criteria should be interpreted in their actual disciplinary and institutional context.

Quality Assurance Should Examine the System Producing the Research

A university interested in sustainable research quality needs to know more than how many papers appeared. It should understand whether researchers have appropriate expertise, whether studies receive necessary ethical oversight, whether data are managed responsibly, whether postgraduate researchers receive adequate supervision, and whether institutional systems identify and address problems.

As explained in the role of research in university accreditation and quality assurance, some frameworks may consider research strategy, capability, integrity, resources, and research training alongside outputs.

Mission Alignment Still Matters

Even when accreditation encourages research, institutions should ask what kind of research fits their mission. A teaching-focused university may reasonably emphasize research that enriches faculty scholarship, student inquiry, regional problems, or selected areas of institutional expertise. A doctoral research university may need broader and deeper research capability.

Maximizing output without considering mission can divert resources from activities the institution exists to provide.

More Research Can Create Opportunity Costs

Faculty time devoted to additional research cannot simultaneously be devoted to teaching, supervision, clinical service, community engagement, administration, or other responsibilities. Institutional funding allocated to publication incentives cannot be spent on laboratories, student support, libraries, or researcher development.

This does not mean research should receive fewer resources. It means research targets are resource-allocation decisions, not free additions to institutional activity.

Research Quantity Can Be Valuable Without Becoming the Definition of Success

An institution with almost no research activity may reasonably seek greater output. Publication counts can help determine whether research is occurring at all and can identify trends over time.

The problem arises when quantity becomes the complete objective. At that point, the institution risks confusing the evidence used to monitor research with the reason research is valuable.

The Best Response to an Accreditation Weakness Depends on the Weakness

If reviewers identify insufficient research activity, additional credible research may be part of the response. If they identify weak ethics oversight, publishing more does not solve the problem. If postgraduate supervision is inadequate, the response should strengthen supervision. If infrastructure is insufficient, the institution needs appropriate resources.

Quality improvement should therefore respond to the diagnosed deficiency rather than defaulting to the most visible research metric.

Doubling Publications May Improve One Indicator While Leaving the Real Problem Untouched

Response A may improve a publication indicator. Whether it improves accreditation depends on the actual standards and findings. If the reviewers were concerned with several dimensions of research quality and capability, increasing output alone leaves much of the evidence unchanged.

Common Misunderstandings About Research Output and Accreditation

Improve the Dimension the Accreditation Evidence Actually Shows Is Weak

Institutions should resist the temptation to translate every research-related accreditation issue into “publish more.” The appropriate intervention depends on what the standard measures and what the evidence shows.

The objective should be to improve the institution, not merely the spreadsheet submitted during accreditation.

Before Increasing Research Targets for Accreditation, Check What They Would Actually Improve

Questions About Research Quantity and Accreditation

More Research Is Not the Same as Better Accreditation

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