Research hacks & architecture notes

Build an argument that remains coherent under scrutiny.

Research quality is not determined by statistical output alone. Weak alignment, unsupported gaps, poorly interpreted trends and imprecise claims can undermine an otherwise technically competent study.

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The funnel approach: how a background chapter should narrow

A useful background chapter moves from the widest relevant evidence to the exact unresolved problem. The sequence is logical rather than ceremonial: every level introduces more specific evidence and explains why the next level deserves attention.

Global context

Explain what is happening with the phenomenon internationally. Establish its scale, development and significance using credible global evidence.

Regional or continental context

Narrow the discussion to the relevant region, such as Africa, Sub-Saharan Africa or emerging markets. Explain how regional institutions, conditions or evidence alter the wider problem.

National context

Present the situation in the study country. Use relevant policy, regulatory, economic, sectoral or institutional evidence rather than simply repeating the global discussion.

Sectoral or industry context

Move into the specific population, industry, institution or environment being investigated. Show how the wider national issue manifests within that setting.

Specific research problem

End with the unresolved contradiction, weakness, consequence or evidence gap that the study will investigate. At this point, the reader should understand why this particular study is necessary.

Concluding test: A funnel is not created merely by mentioning the world, Africa and Nigeria. Each level must narrow the argument, introduce more specific evidence and lead logically to the next level.

Defensible gap identification

The statement that no prior study combined a set of variables is not, by itself, a research gap. A defensible gap establishes that the unresolved issue matters and demonstrates how the proposed design can produce useful evidence.

Gap typeWhat must be demonstratedCommon weakness
Evidence gapCredible studies report conflicting or inconclusive findings that the new study can help clarify.Listing different coefficients without examining design, context or measurement differences.
Contextual gapInstitutional, regulatory or market conditions make transfer from another setting uncertain.Treating a new country as sufficient novelty without explaining why context changes the relationship.
Methodological gapA recurring design limitation constrains prior conclusions and the proposed method addresses it.Using a more complex estimator without showing what inferential problem it solves.
Measurement gapA construct has been operationalised too narrowly or inconsistently, with consequences for interpretation.Changing a proxy without theoretical or empirical justification.
Temporal gapA material policy, economic or institutional change limits the relevance of earlier evidence.Calling evidence old without identifying what changed.

Common error

“Few studies have examined these variables together in Nigeria.”

Stronger direction

Explain the unresolved finding, why the Nigerian setting affects the relationship and how the selected design addresses the limitation.

A trend discussion should identify the pattern, quantify the important movement, connect it to the study context and avoid claiming causation before the analytical model is applied.

Analytical sequence

Observe: state the direction and period. Quantify: report the material change. Contextualise: connect it to documented conditions. Reserve judgement: distinguish a plausible explanation from a tested relationship.

This produces a discussion that demonstrates analytical awareness, contextual understanding and preparation for subsequent diagnostic testing.

Use precise academic language

AvoidPreferReason
“This proves that…”“The result provides evidence consistent with…”Most observational studies support bounded inference rather than proof.
“The result was insignificant.”“The estimated association was not statistically significant at the specified level.”Statistical significance is not the same as practical importance.
“All studies agree…”“The reviewed evidence is broadly consistent…”Absolute claims require exhaustive support.
“The researcher used random sampling.”Name the procedure, frame and selection mechanism.A label does not demonstrate that probability sampling occurred.
Quality-control question: Can each factual claim be traced to evidence, and does each interpretive claim remain within what the design and results can support?

Apply the guidance to the issue creating the most rework.

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