Introduction to Research Methodologies in Education
Key concepts, purposes, and common approaches for conducting rigorous educational research.
| Purpose | What It Enables |
|---|---|
| Clarify problems | Precise definition of educational issues and gaps |
| Guide data collection | Selection of appropriate tools and procedures |
| Ensure validity & reliability | Trustworthy findings that can inform practice |
| Facilitate replication | Others can test or extend the study |
| Support evidence‑based policy | Decisions grounded in systematic inquiry |
| Term | Definition | Example in Education |
|---|---|---|
| Research Paradigm | Underlying worldview shaping the study (e.g., positivist, interpretivist, critical). | A positivist study measuring test scores; an interpretivist study exploring teachers’ lived experiences. |
| Research Design | Blueprint for how the study will be conducted. | Experimental, quasi‑experimental, case study, ethnography, mixed methods. |
| Population vs. Sample | Population = entire group of interest; Sample = subset actually studied. | All high‑school math teachers in a state (population) → 150 teachers randomly selected (sample). |
| Variables | Measurable attributes that can vary. | Independent variable: type of instructional strategy; Dependent variable: student achievement. |
| Validity | Extent to which the study measures what it intends to measure. | Content validity of a new math‑assessment instrument. |
| Reliability | Consistency of measurement across time or observers. | Cronbach’s α = .89 for a teacher‑self‑efficacy scale. |
| Ethics | Principles protecting participants and ensuring integrity. | Informed consent, confidentiality, IRB approval. |
| Design | Key Features | When to Use |
|---|---|---|
| Experimental | Random assignment, control group, manipulation of IV. | Testing causal impact of a new curriculum. |
| Quasi‑experimental | No randomization; uses comparison groups or pre‑post designs. | Evaluating a school reform where random assignment is impossible. |
| Descriptive | Surveys, observations, secondary data; no manipulation. | Mapping teachers’ attitudes toward technology. |
| Correlational | Examines relationships between variables; no causation claim. | Linking student engagement scores with attendance rates. |
| Case Study | In‑depth analysis of a bounded system (school, program). | Exploring implementation of inclusive education in one district. |
| Ethnography | Long‑term immersion, cultural interpretation. | Understanding classroom discourse in multilingual settings. |
| Action Research | Collaborative cycles of planning, acting, observing, reflecting. | Teachers improving formative assessment practices in their own classrooms. |
| Mixed Methods | Integration of quantitative & qualitative strands. | Measuring achievement gains (quantitative) while interviewing students about learning experiences (qualitative). |
Identify & Refine the Problem
Select a Paradigm & Design
Define Variables & Instruments