Research is not simply a sequence of chapters. A credible study connects the problem, existing evidence, research questions, methodology, data, analysis and conclusions into one logical chain. F1RMA Scholar explains those connections in practical language while keeping the underlying research logic visible.
01 · RESEARCH FOUNDATIONS
What Is a Research Problem?
A research problem is the specific issue, uncertainty, contradiction or gap in knowledge that a study seeks to investigate. It is different from a research topic. A topic identifies the broad area of interest, while the research problem explains what needs to be understood and why the study is necessary. This distinction matters because a topic such as employee turnover in public hospitals still leaves the researcher without a precise question about what is happening, why it is happening or what evidence would be needed to explain it.
Research credibility depends on separating observation from assumption. The National Academies of Sciences, Engineering, and Medicine (2019) emphasise that scientific conclusions become more trustworthy when researchers are transparent about how observations are generated, measured and interpreted. A research problem should therefore avoid presenting an untested explanation as though it were already established fact.
From a topic to a research problem
WEAK FORMULATION
Employees are leaving public hospitals because they are poorly motivated.
STRONGER FORMULATION
Public hospitals in Province X continue to experience high voluntary turnover among early-career nurses despite the introduction of retention allowances and professional-development initiatives. Existing administrative records show that turnover remains high, but they do not adequately explain whether workload, remuneration, supervisory support or career progression is most strongly associated with nurses’ intention to leave.
The stronger version identifies what is already known, what remains unresolved and what the study must investigate. It does not assume the cause before data are collected.
Four elements of a strong research problem
The expected situation: What should normally happen?
The observed situation: What is actually happening?
The unresolved issue: What does existing evidence fail to explain?
Why it matters: What are the consequences of leaving the issue unresolved?
02 · LITERATURE & NOVELTY
What Is a Research Gap?
A research gap is an important area where existing evidence does not yet provide a sufficiently clear answer. It may arise because the available evidence is limited, contradictory, methodologically weak or concentrated in contexts that do not fully represent the problem being investigated. A useful gap therefore emerges from critical engagement with literature rather than from the convenient claim that “nobody has studied this exact place.”
Geographic novelty may sometimes justify a new study, but location alone does not automatically establish scholarly significance. Lefebvre et al. (2025) explain that rigorous evidence searches should combine suitable subject headings and free-text terms across relevant information sources. Page et al. (2021) similarly stress transparent reporting of databases, search strategies, eligibility criteria and study-selection processes in systematic reviews. These principles matter even outside formal systematic reviews because weak searching can create a false impression of novelty.
A practical research-gap example
WEAK GAP
Few studies have been conducted in District X.
STRONGER GAP
Existing studies consistently identify perceived usefulness and ease of use as important predictors of mobile-banking adoption. However, much of this evidence is drawn from urban populations and focuses on initial adoption rather than sustained use. Rural enterprises operate under different infrastructural conditions, including unstable connectivity and limited cash-out facilities, yet there is limited evidence showing how these constraints influence continued use.
The stronger gap identifies established knowledge, a contextual difference, and a specific unresolved question.
03 · LITERATURE REVIEW
Move from description to synthesis.
A literature review should do more than describe what previous researchers have written. Its purpose is to establish what is currently known, where findings agree, where they differ, what methods have been used and what limitations remain. The reviewer’s task is therefore analytical: individual studies become evidence within a larger argument about the state of knowledge.
Author-by-author reporting versus synthesis
WEAK REVIEW
Moyo (2022) found that leadership affects employee satisfaction. Dube (2023) found that salary affects employee satisfaction. Banda (2024) found that working conditions affect employee satisfaction.
STRONGER SYNTHESIS
Existing evidence suggests that employee satisfaction is influenced by both organisational and economic factors. Leadership quality is frequently associated with employees’ perceptions of support, while remuneration becomes particularly important where workers perceive a mismatch between workload and compensation. However, the relative importance of these factors differs across institutional contexts, suggesting that satisfaction is likely to result from combinations of working conditions rather than a single determinant.
The stronger paragraph compares evidence, identifies a pattern and makes an interpretive conclusion instead of listing studies in isolation.
For systematic reviews, the demand for transparency is even higher. Page et al. (2021) explain that systematic reviews should report clearly how evidence was identified, selected and synthesised. Cochrane guidance likewise treats searching, screening and synthesis as connected parts of the evidence-review process (Lefebvre et al., 2025).
04 · WRITING THE STUDY
Alignment is more important than chapter count.
Strong research writing maintains alignment across the study. A research question that asks about relationships between variables requires objectives, measurements and analyses capable of addressing those relationships. If an objective asks how participants experience a process, a purely numerical instrument may not provide enough explanatory depth. The issue is not whether one method is superior to another; it is whether the chosen evidence can answer the question being asked.
A useful check is to place the research question, objective, variable or concept, data source and analysis side by side. Where one column cannot be linked logically to the next, the design needs revision. This simple alignment exercise can prevent a common postgraduate problem: collecting large amounts of data that are interesting but only weakly related to the study objectives.
REFERENCES & FURTHER READING
National Academies of Sciences, Engineering, and Medicine. (2019). Reproducibility and replicability in science. National Academies Press. https://doi.org/10.17226/25303
Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Lefebvre, C., Glanville, J., Briscoe, S., et al. (2025). Searching for and selecting studies. In Cochrane Handbook for Systematic Reviews of Interventions. Cochrane Handbook, Chapter 4
