Research Questions
& Framework
Learn to write precise, answerable research questions and construct theoretical or conceptual frameworks that give your study structure, focus, and academic rigour. This module covers the four core skills that distinguish a well-designed study from a poorly grounded one.
Crafting Research Questions
A research question is the central, organising inquiry of a study. It is not a topic, a hypothesis, or a statement of intent. It is a precise, answerable question that determines the scope, methodology, and direction of everything that follows. Creswell and Creswell (2018) identify the well-formulated research question as the single most important element of a research design.
Why Research Questions Matter
Research questions serve three foundational purposes in academic inquiry. They establish direction by defining what the study will investigate, preventing scope creep, and ensuring methodological coherence. Studies without clear research questions tend to produce diffuse, inconclusive findings (Punch, 2014). They provide delimitation by defining what the study will not investigate, which is equally important for rigour and manageability. They also provide an evaluative benchmark against which the study's conclusions are measured: a study succeeds when it provides a defensible answer to its stated research question.
Types of Research Questions
| Type | Purpose | Example | Typical Method |
|---|---|---|---|
| Descriptive | Describes characteristics of a phenomenon | What study habits do first-year university students report using? | Survey, observation |
| Comparative | Compares two or more groups or conditions | How do study outcomes differ between students in online and face-to-face courses? | Quasi-experiment, survey |
| Relational / Correlational | Examines relationships between variables | What is the relationship between sleep duration and academic performance? | Correlation, regression |
| Causal / Explanatory | Tests cause-and-effect relationships | To what extent does peer tutoring improve test scores in secondary school students? | Experiment, RCT |
| Exploratory | Explores little-known phenomena | What factors influence students' decisions to withdraw from postgraduate programmes? | Interviews, grounded theory |
| Evaluative | Assesses the effectiveness of an intervention | How effective is the university's writing support programme in improving essay quality? | Mixed methods, pre-post design |
Too broad: "What affects student success?" generates thousands of variables and no clear method.
Too narrow: "Do male students in Room 204 score higher than female students on Tuesday?" lacks generalisability or significance.
Binary or closed: "Does social media cause depression?" reduces a complex phenomenon to a yes or no, foreclosing nuanced analysis.
Not empirically researchable: "Should universities be free?" is a normative policy question, not an empirical research question.
Moving from Topic to Question
Many researchers struggle to move from a broad area of interest to a specific research question. The process involves progressive narrowing: start with your field, identify a gap or tension in the literature, and refine until you have a focused, answerable question.
Topic area: Mental health and university students
Narrowed focus: Anxiety among first-year students during academic transition
Research question: To what extent does perceived social support moderate the relationship between academic transition stress and generalised anxiety symptoms among first-year undergraduate students?
This question is specific (first-year undergraduates), involves defined variables (stress, social support, anxiety), implies a clear methodology (moderation analysis), and is answerable within a bounded study.
The FINER Criteria
The FINER framework, developed by Hulley, Cummings, Browner, Grady, and Newman (2007) in Designing Clinical Research, provides a systematic checklist for evaluating the quality of a research question. Each letter represents an essential criterion that the question must satisfy before the study proceeds. While originally developed for clinical research, the framework has been widely adopted across social, behavioural, and educational research disciplines.
Conceptual and Theoretical Frameworks
A framework is the structural scaffold of your research. It makes explicit the assumptions, concepts, and relationships that underpin your investigation. Without a framework, findings cannot be interpreted systematically, and the study's contribution to existing knowledge remains unclear.
Theoretical versus Conceptual: A Critical Distinction
| Dimension | Theoretical Framework | Conceptual Framework |
|---|---|---|
| Source | Existing, established theory (e.g., Bandura's Social Cognitive Theory) | Researcher-constructed from multiple concepts and literatures |
| Function | Tests, extends, or challenges a specific theory within its original terms | Maps the concepts, variables, and relationships specific to this study |
| Appropriate when | A well-developed theory directly addresses your research problem | No single theory fits; synthesis of multiple perspectives is required |
| Example | Using Vygotsky's ZPD to frame a study on peer tutoring in secondary schools | Developing a model linking self-efficacy, motivation, and academic engagement |
| Flexibility | Lower: bound by the theory's original assumptions and constructs | Higher: relationships are constructed based on the researcher's literature review |
Visual Framework: Moderation Model
A conceptual framework is best communicated visually. The diagram below shows a standard moderation model, one of the most common framework structures in social science research. The moderating variable tests whether a third variable changes the strength or direction of the primary relationship.
Widely Used Theoretical Frameworks
Social Cognitive Theory proposes that behaviour is shaped by the interaction of personal factors, environmental conditions, and behaviour itself, a model Bandura termed triadic reciprocal causation. Central constructs include self-efficacy (the individual's belief in their capacity to succeed at a specific task), observational learning through modelling, and outcome expectations. The theory has been applied extensively in education, health behaviour, and organisational research.
Best used for: Studies examining motivation, self-regulated learning, behaviour change, professional skill development, or academic persistence.
A macro-theory of human motivation distinguishing between intrinsic motivation (driven by inherent interest), extrinsic motivation (driven by external rewards and contingencies), and amotivation. The theory identifies three universal basic psychological needs whose satisfaction predicts wellbeing and optimal functioning: autonomy (sense of volition), competence (sense of effectiveness), and relatedness (sense of connection to others).
Best used for: Studies on academic motivation, workplace engagement, health behaviour change, or wellbeing interventions in educational or clinical settings.
This theory conceptualises human development as embedded within nested environmental systems: the microsystem (immediate environment, family, classroom), mesosystem (interactions between microsystems), exosystem (indirect environments that affect the individual without direct involvement), macrosystem (cultural and ideological context), and chronosystem (change over time). It is essential for contextualising individual behaviour within broader social, institutional, and cultural structures.
Best used for: Studies on child development, educational outcomes across different socioeconomic contexts, community health, or the impact of policy on individual behaviour.
This theory predicts intentional behaviour based on three components: attitude toward the behaviour (positive or negative evaluation), subjective norms (perceived social pressure from important others), and perceived behavioural control (the person's sense of their capacity to perform the behaviour, analogous to self-efficacy). Behavioural intention is the immediate antecedent of behaviour. The theory has been extensively validated in health, environmental, consumer, and academic behaviour research.
Best used for: Studies predicting health behaviours, pro-environmental actions, technology adoption, academic dishonesty, or any intentional behaviour where social influence is relevant.
Constructivism holds that knowledge is actively constructed by the learner through experience and social interaction, rather than passively received. Piaget emphasised cognitive schemas and the developmental stages through which children progress. Vygotsky stressed social mediation, the Zone of Proximal Development (the gap between what a learner can do independently and what they can do with guidance), and the central role of language in cognitive development. These perspectives are foundational in education research and pedagogical practice.
Best used for: Studies on teaching and learning practices, curriculum design, collaborative learning, educational technology, or the role of teacher-student interaction in knowledge construction.
Hypothesis Formulation
A hypothesis is a specific, testable prediction about the relationship between variables, derived from theory and prior research. Not all studies require hypotheses: qualitative and exploratory studies typically do not formulate them. Quantitative and mixed-methods studies testing relationships, differences, or causal effects almost always do.
Types of Hypotheses
The IF-THEN-BECAUSE Structure
A reliable method for constructing hypotheses is the IF-THEN-BECAUSE template, which forces the researcher to ground the prediction in theory and prior evidence rather than intuition alone.
IF [the independent variable is manipulated or observed in this way], THEN [the dependent variable will respond in this predicted way], BECAUSE [theory or prior empirical evidence supports this prediction].
Example: IF undergraduate students are exposed to an eight-week mindfulness-based stress reduction programme, THEN their self-reported anxiety scores will decrease significantly compared to the control group, BECAUSE mindfulness-based interventions have been consistently shown to reduce physiological stress markers and improve emotional regulation across diverse populations (Kabat-Zinn, 1990; Hofmann et al., 2010).
Criteria for a Well-Formed Hypothesis
| Criterion | Requirement |
|---|---|
| Testable | Can be operationalised and measured with available instruments and data |
| Falsifiable | Empirical data could potentially disprove it (Popper's criterion of scientific demarcation) |
| Grounded in theory | Derived from existing literature or theoretical frameworks, not from personal opinion |
| Specific variables stated | Both the independent variable and dependent variable are explicitly named |
| Declarative sentence | Stated as a declaration, not as a question or a vague expression of hope |
| One relationship per hypothesis | Multiple relationships are separated into distinct, numbered hypotheses |
Variable Identification
Variables are the measurable constructs at the heart of quantitative and mixed-methods research. Identifying and defining them precisely is not a bureaucratic exercise: it determines what data is collected, how it is analysed, and what claims the researcher can legitimately make in the conclusions.
Operationalisation: From Concept to Measurement
Every variable must be operationalised: translated from an abstract concept into a specific, measurable indicator. This is one of the most common weaknesses in student research proposals. Stating "anxiety will be measured" is not operationalisation. Specifying "anxiety will be measured using the GAD-7 (Spitzer et al., 2006), a validated 7-item Likert scale" is operationalisation.
| Abstract Concept | Operationalised Variable | Measurement Instrument |
|---|---|---|
| Academic performance | Grade Point Average at end of semester | Official academic transcript |
| Anxiety | Generalised anxiety symptoms | GAD-7 (Spitzer et al., 2006) |
| Social support | Perceived availability of emotional support | MSPSS (Zimet et al., 1988) |
| Motivation | Intrinsic academic motivation | AMS-C 28 (Vallerand et al., 1992) |
| Socioeconomic status | Annual household income bracket | Self-report ordinal scale |
| Teaching quality | Student evaluation of teaching effectiveness | SET questionnaire (Likert 1 to 5) |
Research Question Checker
Enter your draft research question below and the tool will evaluate it against seven quality criteria drawn from the FINER framework and standard methodology literature. Use the feedback to refine your question before submitting your proposal.
Module Knowledge Quiz
Test your understanding of research questions, frameworks, hypotheses, and variables. Ten questions covering all module topics, with immediate explanatory feedback on each answer.