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

Question

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

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Accepted Answer · 2026-04-11T06:23:44.293Z

Here is a summary of the provided study guide: RESEARCH METHODS FOR MPhil — COMPREHENSIVE STUDY GUIDE PART A: CHAPTER-BY-CHAPTER SUMMARY 1. WAYS OF KNOWING & MEANING OF RESEARCH Research is a systematic, disciplined inquiry to advance knowledge, solve problems, and improve practice, requiring empirical, objective, precise, and problem-solving approaches. Importance: Advances knowledge, improves teaching/learning, solves problems, predicts trends. Types by Purpose: Basic Research (clarifies processes), Applied Research (examines effectiveness). Types by Method: Experimental, Descriptive/Survey, Qualitative, Mixed Methods. 2. RESEARCH PARADIGMS A research paradigm refers to the beliefs, assumptions, and values structuring research. Three Pillars: Ontology:* Nature of reality (single vs. multiple). Epistemology:* How we know and validate knowledge. Methodology:* How we investigate and validate knowledge. Types: Positivism:* Single, objective reality; Quantitative approach. Interpretivism:* Multiple realities; Qualitative approach. Pragmatism:* Continually changing reality; Mixed Methods approach. Constructivism:* People construct meaning; Qualitative approach. Post-Positivism:* Probabilistic reality; Both/Mixed approach. Transformative:* Focuses on marginalized communities; Both/Mixed approach. 3. VARIABLES A variable is a characteristic that can take on different values. Categorical:* Finite, mutually exclusive groups (e.g., sex). Continuous:* Infinite values within a range (e.g., height). Independent (IV):* Presumed cause; manipulated (e.g., teaching method). Dependent (DV):* Outcome/effect (e.g., performance). Extraneous:* Unknown uncontrolled variable (e.g., environmental noise). Confounding:* Systematic extraneous variable (e.g., teacher characteristics). 4. SCALES OF MEASUREMENT Nominal:* Mutually exclusive categories, no order (e.g., gender). Ordinal:* Ranked order, unequal intervals (e.g., competition rankings). Interval:* Equal intervals, no true zero (e.g., temperature). Ratio:* Equal intervals + true zero (e.g., weight). 5. THE INTRODUCTION CHAPTER Research Problem: An unsatisfactory condition requiring investigation. Sources:* Experience, theory, unanswered problems, literature reviews. Characteristics of a Good Research Problem:* Involves variable relationships, significant, leads to further research, researchable, suitable, ethical, feasible. Background to the Study: Provides historical, social, political context and links the topic to broader concerns. Statement of the Problem: Clearly states why the problem needs investigation, identifies knowledge gaps, and justifies the study. Purpose of the Study: Describes what the researcher intends to do, breaking the problem into parts. 6. RESEARCH QUESTIONS AND HYPOTHESES Research Questions: Guide data collection and analysis, aligning with objectives. Hypothesis: A predictive statement about expected relationships between variables. Null Hypothesis (H₀):* States no relationship or difference. Research/Alternative Hypothesis (H₁):* Directional:* Specifies expected direction. Non-Directional:* States a difference/relationship exists without direction. Hypothesis Testing: P-value:* Probability observed result is due to chance. Significance Level (α):* Typically 0.05. Decision Rule:* If p ≤ 0.05, reject H₀; if p > 0.05, fail to reject H₀. Confidence Level:* 1 – α. 7. LITERATURE REVIEW A systematic search, analysis, and critique of relevant information. Purposes: Prevents duplication, helps choose methods, clarifies concepts, interprets results, compares opinions. Sources: Books, journals, theses, conference papers, internet. Organization: Introduction → Body (subheadings, broad to focused) → Summary. 8. CONCEPTUAL FRAMEWORK A visual or written product showing main study elements, key variables, and presumed relationships. Conceptual vs. Theoretical Framework: Theoretical is a pre-existing theory; Conceptual is your specific map of variables. Components: Independent Variable (cause), Dependent Variable (effect), Mediating Variable (explains HOW), Moderating Variable (explains UNDER WHAT CONDITIONS). Steps to Construct: Choose topic, literature review, isolate variables, generate If-Then logic, visualize. 9. RESEARCH METHODOLOGY Research Designs: A. Survey Design:* Describes existing conditions or relationships. Cross-sectional:* One point in time. Longitudinal:* Over extended periods (Panel, Cohort, Trend). B. Experimental Designs:* Tests causal relationships by manipulating IV. True Experiment:* Random assignment. Quasi-Experiment:* Pre-existing groups. Common Designs:* One-Shot Case Study, One-Group Pretest-Posttest, Non-equivalent Group (Pretest-Posttest), Randomized Posttest-Only Control Group. Research Approaches: Quantitative, Qualitative, Mixed Methods. Mixed Methods Types: Sequential Explanatory (QUAN → QUAL), Sequential Exploratory (QUAL → QUAN), Sequential Transformative, Concurrent Triangulation (QUAN + QUAL simultaneously), Convergent Parallel, Embedded. 10. POPULATION AND SAMPLING Target Population: Ideal group for generalization. Accessible Population: Group actually available. Probability Sampling (equal chance): Simple Random, Stratified, Systematic, Cluster. Non-Probability Sampling: Convenience, Purposive, Quota. 11. INSTRUMENTS Questionnaires: Low cost, large scale, anonymous, quick data. Open Questions:* Rich, hard to analyze. Closed Questions:* Easier to analyze, may restrict. Likert Scale:* Attitude measurement (SA, A, U, D, SD). Semantic Differential:* Two opposing adjectives with a scale. Guidelines:* Avoid vague, leading, double, negative, hypothetical questions. 12. STATISTICAL TESTS Choice depends on purpose, data type, scale, groups, assumptions. Frequency/Percentage:* Description; Categorical data. Mean:* Central tendency; Continuous data. Chi-Square:* Relationship between two categorical variables. Correlation:* Relationship between two continuous variables. Independent t-test:* Difference between two independent groups (1 categorical IV, 1 continuous DV). 13. APA REFERENCING (Key Rules) One author:* Surname, Initial. (Year). Title. Place: Publisher. Two authors:* Cite both names; 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. That's 2 down. 3 left today — send the next one.

Accepted Answer · 2026-04-11T06:23:44.293Z

Here is a summary of the provided study guide: RESEARCH METHODS FOR MPhil — COMPREHENSIVE STUDY GUIDE PART A: CHAPTER-BY-CHAPTER SUMMARY 1. WAYS OF KNOWING & MEANING OF RESEARCH Research is a systematic, disciplined inquiry to advance knowledge, solve problems, and improve practice, requiring empirical, objective, precise, and problem-solving approaches. Importance: Advances knowledge, improves teaching/learning, solves problems, predicts trends. Types by Purpose: Basic Research (clarifies processes), Applied Research (examines effectiveness). Types by Method: Experimental, Descriptive/Survey, Qualitative, Mixed Methods. 2. RESEARCH PARADIGMS A research paradigm refers to the beliefs, assumptions, and values structuring research. Three Pillars: Ontology:* Nature of reality (single vs. multiple). Epistemology:* How we know and validate knowledge. Methodology:* How we investigate and validate knowledge. Types: Positivism:* Single, objective reality; Quantitative approach. Interpretivism:* Multiple realities; Qualitative approach. Pragmatism:* Continually changing reality; Mixed Methods approach. Constructivism:* People construct meaning; Qualitative approach. Post-Positivism:* Probabilistic reality; Both/Mixed approach. Transformative:* Focuses on marginalized communities; Both/Mixed approach. 3. VARIABLES A variable is a characteristic that can take on different values. Categorical:* Finite, mutually exclusive groups (e.g., sex). Continuous:* Infinite values within a range (e.g., height). Independent (IV):* Presumed cause; manipulated (e.g., teaching method). Dependent (DV):* Outcome/effect (e.g., performance). Extraneous:* Unknown uncontrolled variable (e.g., environmental noise). Confounding:* Systematic extraneous variable (e.g., teacher characteristics). 4. SCALES OF MEASUREMENT Nominal:* Mutually exclusive categories, no order (e.g., gender). Ordinal:* Ranked order, unequal intervals (e.g., competition rankings). Interval:* Equal intervals, no true zero (e.g., temperature). Ratio:* Equal intervals + true zero (e.g., weight). 5. THE INTRODUCTION CHAPTER Research Problem: An unsatisfactory condition requiring investigation. Sources:* Experience, theory, unanswered problems, literature reviews. Characteristics of a Good Research Problem:* Involves variable relationships, significant, leads to further research, researchable, suitable, ethical, feasible. Background to the Study: Provides historical, social, political context and links the topic to broader concerns. Statement of the Problem: Clearly states why the problem needs investigation, identifies knowledge gaps, and justifies the study. Purpose of the Study: Describes what the researcher intends to do, breaking the problem into parts. 6. RESEARCH QUESTIONS AND HYPOTHESES Research Questions: Guide data collection and analysis, aligning with objectives. Hypothesis: A predictive statement about expected relationships between variables. Null Hypothesis (H₀):* States no relationship or difference. Research/Alternative Hypothesis (H₁):* Directional:* Specifies expected direction. Non-Directional:* States a difference/relationship exists without direction. Hypothesis Testing: P-value:* Probability observed result is due to chance. Significance Level (α):* Typically 0.05. Decision Rule:* If p ≤ 0.05, reject H₀; if p > 0.05, fail to reject H₀. Confidence Level:* 1 – α. 7. LITERATURE REVIEW A systematic search, analysis, and critique of relevant information. Purposes: Prevents duplication, helps choose methods, clarifies concepts, interprets results, compares opinions. Sources: Books, journals, theses, conference papers, internet. Organization: Introduction → Body (subheadings, broad to focused) → Summary. 8. CONCEPTUAL FRAMEWORK A visual or written product showing main study elements, key variables, and presumed relationships. Conceptual vs. Theoretical Framework: Theoretical is a pre-existing theory; Conceptual is your specific map of variables. Components: Independent Variable (cause), Dependent Variable (effect), Mediating Variable (explains HOW), Moderating Variable (explains UNDER WHAT CONDITIONS). Steps to Construct: Choose topic, literature review, isolate variables, generate If-Then logic, visualize. 9. RESEARCH METHODOLOGY Research Designs: A. Survey Design:* Describes existing conditions or relationships. Cross-sectional:* One point in time. Longitudinal:* Over extended periods (Panel, Cohort, Trend). B. Experimental Designs:* Tests causal relationships by manipulating IV. True Experiment:* Random assignment. Quasi-Experiment:* Pre-existing groups. Common Designs:* One-Shot Case Study, One-Group Pretest-Posttest, Non-equivalent Group (Pretest-Posttest), Randomized Posttest-Only Control Group. Research Approaches: Quantitative, Qualitative, Mixed Methods. Mixed Methods Types: Sequential Explanatory (QUAN → QUAL), Sequential Exploratory (QUAL → QUAN), Sequential Transformative, Concurrent Triangulation (QUAN + QUAL simultaneously), Convergent Parallel, Embedded. 10. POPULATION AND SAMPLING Target Population: Ideal group for generalization. Accessible Population: Group actually available. Probability Sampling (equal chance): Simple Random, Stratified, Systematic, Cluster. Non-Probability Sampling: Convenience, Purposive, Quota. 11. INSTRUMENTS Questionnaires: Low cost, large scale, anonymous, quick data. Open Questions:* Rich, hard to analyze. Closed Questions:* Easier to analyze, may restrict. Likert Scale:* Attitude measurement (SA, A, U, D, SD). Semantic Differential:* Two opposing adjectives with a scale. Guidelines:* Avoid vague, leading, double, negative, hypothetical questions. 12. STATISTICAL TESTS Choice depends on purpose, data type, scale, groups, assumptions. Frequency/Percentage:* Description; Categorical data. Mean:* Central tendency; Continuous data. Chi-Square:* Relationship between two categorical variables. Correlation:* Relationship between two continuous variables. Independent t-test:* Difference between two independent groups (1 categorical IV, 1 continuous DV). 13. APA REFERENCING (Key Rules) One author:* Surname, Initial. (Year). Title. Place: Publisher. Two authors:* Cite both names; 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. That's 2 down. 3 left today — send the next one.

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