Formulating the Research Problem
Identifying a Research Gap
A research gap is an area or a question that has not been adequately addressed or answered in the existing literature. It's the "missing piece" in current knowledge that your research aims to fill. In civil engineering, this could be:
- A lack of empirical data on a specific new construction material under certain environmental conditions.
- A conflict between existing theories or models regarding structural behavior.
- A new technological advancement that hasn't been fully evaluated for its application in a specific civil engineering context (e.g., the long-term durability of 3D-printed concrete in marine environments).
- A methodological gap where previous studies used flawed or outdated methods that need to be re-evaluated with modern techniques.
Identifying this gap requires a thorough literature review to understand what is known and what remains unknown. The gap forms the core justification for why your research is necessary.
Interact with the simulation below to explore examples of identifying research gaps.
Identifying Research Gaps
Existing Knowledge (The Literature)
- Compressive strength of standard concrete
- Basic properties of steel rebar
The Research Gap (What is Unknown)
- Long-term durability of 3D-printed concrete in marine environments
- Self-healing concrete performance under extreme freeze-thaw cycles
Writing the Problem Statement
The problem statement clearly and concisely articulates the issue that the research will address. It explains why the research is necessary. A strong problem statement typically includes:
- The Ideal Situation: Briefly describe how things should be or what the desired state is (e.g., "Bridges should withstand significant seismic events without catastrophic failure").
- The Reality (The Problem): Describe the current situation, highlighting the issue or gap (e.g., "However, older bridges retrofitted with standard steel jackets are showing unexpected vulnerability to near-fault ground motions").
- The Consequences: Explain the negative impacts of the problem if left unaddressed (e.g., "This vulnerability could lead to significant structural damage, loss of life, and severe economic disruption during a major earthquake").
- The Proposed Solution (The Research Aim): State broadly what the research intends to do to address the problem (e.g., "This study aims to investigate the effectiveness of novel shape memory alloy (SMA) jackets as an alternative retrofitting strategy for older bridge columns under near-fault seismic loads").
Evaluating Research Questions: The FINER Criteria
Once a problem is identified, it must be translated into a viable research question. The FINER criteria is a widely used framework to evaluate the strength and viability of a proposed research question:
- F - Feasible: Can the study be done? Do you have the necessary time, funding, equipment, subjects (e.g., samples, participants), and technical expertise?
- I - Interesting: Is the answer to the question of interest to you, your peers, and the broader scientific or engineering community?
- N - Novel: Does the study provide new findings? Does it confirm, refute, or extend previous findings, or explore a new methodology?
- E - Ethical: Can the study be conducted without unacceptable risk to humans, animals, or the environment? Will it pass Institutional Review Board (IRB) approval if needed?
- R - Relevant: Does the study advance scientific knowledge, influence engineering guidelines, or guide future research directions?
Structuring Questions: The PICO Framework
For highly specific, often comparative research (especially systematic reviews and experimental studies), the PICO framework helps structure a precise, answerable question:
- P - Population (or Problem): Who or what are you studying? (e.g., High-strength concrete columns in seismic zones).
- I - Intervention: What are you doing or testing? (e.g., Wrapping with Carbon Fiber Reinforced Polymers - CFRP).
- C - Comparison (or Control): What is the alternative? (e.g., Compared to traditional steel jacketing, or compared to no wrapping).
- O - Outcome: What are you measuring to determine success? (e.g., Improvement in displacement ductility and load capacity).
Example PICO Question: In high-strength concrete columns in seismic zones (P), does wrapping with CFRP (I) compared to traditional steel jacketing (C) result in a greater improvement in displacement ductility (O)?
Setting Research Objectives
Research objectives specify what the study intends to achieve. They are concrete, measurable goals that guide the research design.
- General Objective: A broad statement of the overall goal (e.g., "To evaluate the seismic performance of SMA-retrofitted bridge columns").
- Specific Objectives: Detailed, actionable steps needed to achieve the general objective. These often start with action verbs like determine, compare, analyze, evaluate, model. (e.g., "1. To characterize the material properties of the selected SMA under cyclic loading. 2. To develop finite element models of unretrofitted and SMA-retrofitted columns. 3. To compare the displacement ductility and energy dissipation of the models under simulated near-fault earthquakes.")
There should be a direct, one-to-one logical mapping between specific objectives and research questions.
The SMART Framework for Objectives
When drafting specific research objectives, researchers should ensure they align with the SMART framework. This guarantees that the goals are clear, actionable, and capable of being evaluated at the conclusion of the study.
- S - Specific: The objective must clearly define exactly what is being done, who is involved, and what the expected outcome is, without ambiguity. (e.g., Instead of "To improve concrete," use "To determine the optimal dosage rate of silica fume to maximize 28-day compressive strength").
- M - Measurable: There must be a clear metric or indicator to assess progress and determine when the objective has been successfully met. (e.g., The objective must involve quantifiable data, like measuring strength in MPa or observing a defined qualitative behavioral change).
- A - Achievable: The objective must be realistic given the available resources, time constraints, and the researcher's technical skills. Setting an objective to completely eliminate concrete cracking globally is unachievable; minimizing micro-cracking in a specific mix design is.
- R - Relevant: The objective must directly support the broader research problem and the overall aim of the study. It should contribute meaningful knowledge to the specific field of civil engineering.
- T - Time-Bound: While often implied in broader research schedules, specific objectives should be achievable within the timeframe allocated for the project or thesis.
Theoretical and Conceptual Frameworks
Every research project is anchored in theories or concepts that frame the study. These frameworks help interpret the data and connect findings back to existing knowledge.
- Theoretical Framework: Provides a broad foundation, often based on existing, well-established scientific theories (e.g., using "Fracture Mechanics Theory" when studying the propagation of cracks in a steel beam).
- Conceptual Framework: A logical, visual, or written model created by the researcher that maps out the specific variables in the study and their suspected relationships (e.g., a flowchart linking aggregate type, water-cement ratio, and resulting compressive strength).
In building a Conceptual Framework, it is critical to explicitly map the variables involved in your research to visually communicate their expected relationships:
- Independent Variables (IV): The factors you manipulate or observe as the presumed cause. They stand "independent" of the outcome. (e.g., Dosage of a new concrete admixture).
- Dependent Variables (DV): The outcome you measure. Its value depends on the IV. (e.g., The resulting compressive strength of the concrete).
- Moderating Variables: Variables that affect the strength or direction of the relationship between the IV and DV. (e.g., Curing temperature might moderate how effective the admixture is).
- Mediating Variables: Variables that explain why or how a relationship exists between an IV and DV.
A standard conceptual framework often uses boxes (representing variables) and arrows (representing the direction of assumed influence or causality) to map out these relationships.
Key Takeaways
- A research gap is an unaddressed area in existing knowledge that justifies a new study, demanding comprehensive knowledge of the current state-of-the-art.
- A clear problem statement outlines the ideal situation, the current reality (the problem), its consequences, and the proposed research aim.
- The FINER criteria ensures a research question is Feasible, Interesting, Novel, Ethical, and Relevant.
- The PICO framework structures precise, answerable comparative questions by defining the Population, Intervention, Comparison, and Outcome.
- Research objectives are specific, measurable goals that break down the broader aim into actionable steps.
- The SMART framework ensures all objectives are Specific, Measurable, Achievable, Relevant, and Time-bound, guaranteeing they can be realistically accomplished.
- Theoretical frameworks rely on established broad theories, while conceptual frameworks are specific, visual models built by the researcher mapping out expected relationships between independent, dependent, moderating, and mediating variables.