Write this summarize for me don't remove anything or add anything RESEARCH METHODS FOR MPhil — COMPREHENSIVE STUDY GUIDE Based on Lectures by Charles Amoah Agyei (PhD) PART A: CHAPTER-BY-CHAPTER SUMMARY 1. WAYS OF KNOWING & MEANING OF RESEARCH Research is a systematic, disciplined inquiry aimed at advancing knowledge, solving problems, and improving practice. It must be empirical (based on evidence), objective, precise, and directed at solving a specific problem using appropriate analytical procedures. Importance of Research: Advances knowledge in education Improves teaching and learning Solves educational and societal problems Predicts future trends Types of Research by Purpose: Basic Research – clarifies underlying processes; hypothesis expressed as theory Applied Research – examines effectiveness of educational practices Types of Research by Method: Experimental, Descriptive/Survey, Qualitative, Mixed Methods 2. RESEARCH PARADIGMS A research paradigm refers to the beliefs, assumptions, and values that provide the structure for research. Three Pillars: Ontology – study of the nature of reality (single vs. multiple realities) Epistemology – study of knowledge: how we know and validate what we know Methodology – how we investigate and validate knowledge Types of Paradigms: | Paradigm | Reality View | Approach | |---|---|---| | Positivism | Single, objective reality | Quantitative | | Interpretivism | Multiple realities | Qualitative | | Pragmatism | Continually changing reality | Mixed Methods | | Constructivism | People construct their own meaning | Qualitative | | Post-Positivism | Probabilistic reality | Both / Mixed | | Transformative | Focuses on marginalized communities | Both / Mixed | 3. VARIABLES A variable is a characteristic that can take on different values (e.g., age, sex, achievement). Type Description Example Categorical Finite, mutually exclusive groups Sex, marital status Continuous Infinite values within a range Height, test scores Independent (IV) The presumed cause; manipulated Teaching method Dependent (DV) The outcome / effect Performance Extraneous Unknown uncontrolled variable Environmental noise Confounding Systematic extraneous variable Teacher characteristics 4. SCALES OF MEASUREMENT Scale Features Example Nominal Mutually exclusive categories, no order Gender, religion Ordinal Ranked order, unequal intervals Competition rankings Interval Equal intervals, no true zero Temperature, test scores Ratio Equal intervals + true zero Weight, height, time 5. THE INTRODUCTION CHAPTER Research Problem: An unsatisfactory condition, difficulty, or unanswered question requiring investigation. Sources of Research Problems: Experience, theory, unanswered problems, imbalances in a system, dissatisfaction, missing links, literature reviews, non-education fields. Characteristics of a Good Research Problem: Involves a relationship between two or more variables Significant (addresses a knowledge gap) Leads to further research Researchable (data can be collected) Suitable (fits researcher's resources, skills, time) Ethical (does not harm subjects) Feasible (financial, time, knowledge requirements are met) Background to the Study: Provides context (historical, social, political) and exposes the reader to the general problem. It links the specific topic to the broader area of concern. Statement of the Problem: Clearly states why the problem should be investigated, identifies knowledge gaps, and justifies the study. Purpose of the Study: Describes what the researcher intends to do; breaks the problem into component parts. 6. RESEARCH QUESTIONS AND HYPOTHESES Research Questions: Guide data collection and analysis; should be broad enough to allow data collection. Must align with stated objectives. Hypothesis: A predictive statement about expected relationships between variables. Types: Null Hypothesis (H₀): States no relationship or difference exists. E.g., "There is no difference in the performance of boys and girls in science." Research/Alternative Hypothesis (H₁): Directional: Specifies the expected direction. E.g., "Girls perform better than boys in science." Non-Directional: States a difference/relationship exists without specifying direction. Hypothesis Testing: P-value: Probability that the observed result is due to chance. Significance Level (α): Typically set at 0.05 in educational research. Decision Rule: If p ≤ 0.05 → Reject the null hypothesis If p > 0.05 → Fail to reject (accept) the null hypothesis Confidence Level = 1 – α 7. LITERATURE REVIEW A systematic search, analysis, and critique of relevant information on the research topic. Purposes: Prevents unnecessary duplication Helps choose appropriate research methods/instruments Clarifies and defines key concepts Helps interpret significance of results Compares and contrasts expert opinions Sources: Books, journals, theses, conference papers, official documents, internet, research reports. Organization: Introduction → Body (grouped under subheadings, broad to focused) → Summary 8. CONCEPTUAL FRAMEWORK A visual or written product showing the main things to be studied, key variables, and presumed relationships among them. Conceptual vs. Theoretical Framework: Theoretical Framework: A pre-existing theory used as a lens (e.g., Maslow's Hierarchy) Conceptual Framework: Your specific map of variables and their relationships, drawn from the theory Components: Independent Variable (IV) – cause Dependent Variable (DV) – effect Mediating Variable – explains HOW the IV affects the DV Moderating Variable – explains UNDER WHAT CONDITIONS the relationship holds Steps to Construct: Choose topic and problem Conduct literature review Isolate key variables (IV, DV, mediators, moderators) Generate If-Then logic (hypotheses) Visualize with diagram (boxes + arrows) 9. RESEARCH METHODOLOGY Research Designs: A. Survey Design — Describes existing conditions or identifies relationships. Cross-sectional: One point in time ("snapshot") Longitudinal: Over extended periods Panel: Same subjects over time Cohort: Same population, different random samples Trend: Different samples from a changing population at different times B. Experimental Designs — Tests causal relationships by manipulating the IV. True Experiment: Random assignment to groups Quasi-Experiment: Pre-existing/intact groups (no random assignment) Common Designs: | Design | Description | |---|---| | One-Shot Case Study | Single group, treatment only, then observation | | One-Group Pretest-Posttest | Pretest → Treatment → Posttest (no control) | | Non-equivalent Group (Pretest-Posttest) | Intact groups: Experimental + Control, pre and post tests | | Randomized Posttest-Only Control Group | Random assignment, posttest only | Research Approaches: Quantitative, Qualitative, Mixed Methods Mixed Methods Types: | Type | Description | |---|---| | Sequential Explanatory | QUAN → QUAL | | Sequential Exploratory | QUAL → QUAN | | Sequential Transformative | QUAL → QUAN → QUAL → QUAN | | Concurrent Triangulation | QUAN + QUAL simultaneously, compared | | Convergent Parallel | Same as Concurrent; analyzed separately then merged | | Embedded | One type nested within the other | 10. POPULATION AND SAMPLING Target Population: Ideal group to generalize findings to Accessible Population: Population actually available to the researcher Probability Sampling (equal chance of selection): Simple Random Sampling Stratified Sampling (proportional or equal) Systematic Sampling (every Kth element) Cluster Sampling (groups as units) Non-Probability Sampling: Convenience Sampling (available cases; weakest) Purposive Sampling (judgment-based selection) Quota Sampling (miniature of population by characteristics) 11. INSTRUMENTS Questionnaires: Low cost, large scale, anonymous, quick data collection. Open Questions: Rich but hard to analyze Closed Questions: Easier to analyze; may restrict responses Likert Scale: Attitude measurement (SA, A, U, D, SD); no neutral items; ~half favorable, half unfavorable Semantic Differential: Two opposing adjectives with a scale between Questionnaire Guidelines: Avoid vague, leading, double, negative, or hypothetical questions. 12. STATISTICAL TESTS Choice depends on: purpose, data type, scale, number of groups, assumptions. Test Purpose Data Needed Frequency/Percentage Description Categorical Mean Central tendency Continuous Chi-Square Relationship between two categorical variables Two categorical variables Correlation Relationship between two continuous variables Two continuous variables Independent t-test Difference between two independent groups 1 categorical IV (2 groups), 1 continuous DV 13. APA REFERENCING (Key Rules) One author: Surname, Initial. (Year). Title. Place: Publisher. Two authors: cite both names every time; use & in brackets 3–5 authors: cite all first time, then "First author et al." 6–7 authors: In-text: first author et al. Reference list: all names 8+ authors: List first 6, then ". . .", then last author Journal article: Author. (Year). Title. Journal Name, volume(issue), pages. PART B: 50 MULTIPLE CHOICE QUESTIONS (WITH ANSWERS) What does research paradigm refer to? A) Data collection tools B) Beliefs and assumptions that provide the structure for research ✅ C) The statistical tests used in research D) The population studied Which pillar of a research paradigm deals with the nature of reality? A) Epistemology B) Methodology C) Ontology ✅ D) Axiology A positivist researcher is most likely to use which approach? A) Qualitative B) Ethnographic C) Quantitative ✅ D) Narrative Which variable is manipulated by the researcher? A) Dependent variable B) Extraneous variable C) Confounding variable D) Independent variable ✅ A variable that systematically affects the outcome of the independent variable without the researcher's knowledge is called? A) Mediating variable B) Confounding variable ✅ C) Moderating variable D) Control variable Temperature is measured on which scale? A) Nominal B) Ordina