23/09/2025
Educational Research
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Educational research systematically investigates questions about teaching, learning, and schooling to inform practice and policy.
Purposes
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✔️ Describing phenomena,
✔️ Explaining relationships,
✔️ Predicting outcomes,
✔️ Testing interventions, and
✔️ Guiding decision-making
Major Paradigms
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☑️ Quantitative: objective measurement and statistical analysis of numerical data.
☑️ Qualitative: interpretive exploration of meanings, experiences, and social contexts.
☑️ Mixed-Methods: integration of quantitative and qualitative approaches for comprehensive insights.
☑️ Action Research: practitioner-led cyclical inquiry aimed at improving one’s own classroom or school.
Research Designs: Quantitative
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↪️ Descriptive፡ surveys, observations, and inventories to document “what is” (e.g., frequency distributions, cross-sectional studies).
↪️ Correlational: measures strength and direction of relationships between variables (Pearson’s r, Spearman’s rho) without inferring causation.
↪️ Experimental: random assignment to treatment and control groups to test cause-and-effect (true experiments).
↪️ Quasi-Experimental: uses intact groups or nonrandom assignment; includes pre-test/post-test and nonequivalent control group designs
↪️ Survey Research: standardized questionnaires administered to representative samples; emphasizes generalizability.
Research Designs: Qualitative
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➥ Case Study: in-depth analysis of one or a small number of “cases” (students, classrooms, programs).
➥ Ethnography: long-term immersion in a cultural or institutional setting to understand shared practices and beliefs.
➥ Phenomenology: examines the essence of lived experiences around a phenomenon (e.g., student motivation).
➥ Grounded Theory: generates theory inductively through iterative data collection and constant comparative analysis.
➥ Narrative Inquiry: collects and interprets personal stories to explore individuals’ identities and meaning-making.
Mixed-Methods Designs
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➧ Sequential Explanatory: quantitative phase followed by qualitative phase to explain statistical results.
➧ Sequential Exploratory: qualitative phase to develop instruments, followed by quantitative testing.
➧ Concurrent Triangulation: simultaneous collection of quantitative and qualitative data to corroborate findings.
Action Research Cycle
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🔃 Identify a classroom or school problem
🔃 Review literature and frame questions
🔃 Plan an intervention (strategy, lesson, policy change)
🔃 Implement and collect data (observations, student outcomes)
🔃 Reflect on results and revise practice
🔃 Repeat cycle for continuous improvement
Key Steps in Conducting Educational Research
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➦ Problem Formulation: Define clear, focused research questions or hypotheses.
➦ Establish significance and context
➦ Literature Review: Survey existing studies to identify gaps and theoretical frameworks.
➦ Conceptual Framework: Map relationships among constructs; ground study in theory
➦ Design Selection: Choose quantitative, qualitative, mixed-methods, or action research design based on questions
➦ Sampling Strategies
➝ Quantitative: probability sampling (simple, stratified, cluster) for representativeness
➝ Qualitative: purposive, snowball, or criterion sampling for depth and diversity of perspectives
➦ Instrumentation and Data Collection
➝ Quantitative: standardized tests, surveys with validated scales, structured observation
➝ Qualitative: semi-structured interviews, focus groups, field notes, document analysis.
➦ Ensure pilot testing and refinement of instruments.
➦ Ensuring Quality
➝ Quantitative: reliability (test-retest, Cronbach’s alpha), validity (content, construct, criterion)
➝ Qualitative: trustworthiness—credibility (member checks), transferability (thick description), dependability (audit trail), confirmability (reflexivity)
➦ Data Analysis
➝ Quantitative: descriptive statistics, inferential tests (t-tests, ANOVA, regression), effect sizes
➝ Qualitative: coding (open, axial, selective), thematic analysis, narrative synthesis, use of software (e.g., NVivo)
➝ Mixed-Methods: integrate findings in joint displays or meta-inferences.
Ethical Considerations
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✔️Informed consent
✔️ Confidentiality,
✔️ voluntary participation,
✔️ Minimizing harm
✔️ Adhere to institutional review board (IRB) or ethics committee guidelines
✔️ Reporting and Dissemination
✔️ Structure reports with Introduction, Methods, Results, Discussion, and Conclusions.
✔️ Use clear visuals: tables, graphs, thematic maps
✔️ Share findings with stakeholders: colleagues, school leaders, publications, and conferences
Common Data Collection Techniques
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➲ Surveys and Questionnaires: Likert scales, open-ended items; ensure clarity and brevity.
➲ Interviews: individual or group; develop interview protocols and probes.
➲ Observations: structured (checklists) or unstructured (field notes); consider observer bias.
➲ Document Analysis: curricula, policy documents, student work samples, digital artifacts
➲ Standardized Tests: norm-referenced or criterion-referenced instruments
Data Analysis Tools
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➲ Quantitative: SPSS, R, Excel for statistical computations and graphics
➲ Qualitative: NVivo, ATLAS.ti for coding and memoing; manual thematic charts for smaller studies
➲ Mixed-Methods: QDA Miner with R integration or manual joint display matrices
Validity Threats and Mitigation
➲ Internal Validity: history, maturation, instrumentation; use controls and randomization
➲ External Validity: sampling bias, artificial settings; use representative samples and naturalistic settings
➲ Construct Validity: ambiguous operational definitions; define constructs clearly and use multiple measures
➲ Conclusion Validity: low statistical power, fishing; ensure appropriate sample sizes and predefine analyses.
Professional and Practical Applications
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➧ Inform curriculum and instructional design decisions
➧ Evaluate the impact of educational programs and innovations
➧ Guide policy formulation at school and system levels
➧ Contribute to teacher professional development through reflective practice and evidence-based strategies.
Tips for LET Exam Preparation
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➦ Memorize key definitions, paradigms, and design types
➦ Understand strengths and limitations of each method
➦ Be able to match research questions with appropriate designs
➦ Practice critiquing sample study abstracts for validity and ethical soundness.
