Chapter 1: Introduction |
Section 1: Definitions |
Section 2: The Ethics of Social Science |
Section 3: The Process of Doing Social Science |
Section 4: The Role of Theory |
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Chapter 2: Values and Ethics |
Section 1: Definitions |
Section 2: Personal Values and Research |
Section 3: Examples From History: Harm to Human Subjects |
Section 4: Examples From History: Other Issues |
Section 5: Professional Codes of Ethics: Human Subjects |
Section 6: Professional Codes of Ethics: Other Issues |
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Chapter 3: Specification |
Section 1: Specification |
Section 2: Your Area of Interest |
Section 3: The Initial Literature Review |
Section 4: Reviewing the Field |
Section 5: Understanding Your Literature |
Section 6: Your Conceptual Framework |
Section 7: Formalizing and Presenting Your Conceptual Framework |
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Chapter 4: Design |
Section 1: Specifying your Aims, Question and Hypotheses |
Section 2: Seven Key Dimensions of Research Design |
Section 2.1: Purpose |
Section 2.2: Causality and Control |
Section 2.3: Subjects and Sampling |
Section 2.4: Assignment of Subjects to Different Groups or Conditions |
Section 2.5: Investigator Manipulation |
Section 2.6: Timeframe |
Section 2.7: Data Type |
Section 3: Internal Validity and Research Design |
Section 4: Finalizing the Design |
Section 5: True Experimental Designs in Detail |
Section 6: Quasi-Experimental Designs in Detail |
Section 7: Nonexperimental Designs in Detail |
Section 8: Human Subjects, IRB’s and Ethics |
Section 9: Summary of Key Design Products |
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Chapter 5: Measurement |
Section 1: Measureent and Data Type |
Section 2: Reliability and Validity |
Section 3: Administration of Instruments |
Section 4: Structure of Instruments |
Section 5: Choosing a Measure |
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Chapter 6: Qualitative Research |
Section 1: Qualitative Research Defined |
Section 2: Paradigms and Frameworks in Qualitative Research |
Section 3: Collecting Data in Qualitative Research |
Section 4: Analysis in Qualitative Research |
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Chapter 7: Clinical Multisubject Research |
Section 1: Introduction |
Section 2: Needs Assessment and Caseload Analysis |
Section 3: Program Monitoring |
Section 4: Outcome Evaluation |
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Chapter 8: Clinical Single-Subject Research |
Section 1: Why Study Individuals in Your Practice? |
Section 2: Review of Key Terms in Single Subject Designs |
Section 3: Treatment Goals and Outcomes |
Section 4: Choosing a Way to Measure Outcomes |
Section 4.1: Outcomes as Observed Behaviors |
Section 4.2: Asking the Client or Someone Else (Finding and Using Existing Measures) |
Section 4.3: Asking the Client or Someone Else (Creating Measures) |
Section 4.4: Checking the Record (Administrative, Archival or Similar Data) |
Section 5: Choosing and Implementing a Design |
Section 5.1: The Basic Quasi-Experimental Approach (A B) |
Section 5.2: Quasi-Experimental Approaches with Follow-up (A B A) |
Section 5.3: Multiple-Baseline Models (A B A B) |
Section 5.4: Multiple-Intervention Models (A B C) |
Section 5.5: Combined Intervention Models (A B B+C) |
Section 6: Timeframes |
Section 7: Analysis, Interpretation and Dissemination |
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Chapter 9: Design Examples |
Section 1: Kathy |
Section 2: Maria |
Section 3: Abigail |
Section 4: Yuan |
Section 5: John |
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Chapter 10: Computers in Social Science Research |
Section 1: Spreadsheets (Excel) |
Section 2: Statstical Analyis Software (SPSS) |
Section 3: Statistical Analyis Software (SAS) |
Section 4: Qualitative Analysis Software (NVivo) |
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Chapter 11: Implementation |
Section 1: Pilot Studies: Bridging Design and Full-Scale Implementation |
Section 2 Implementation Tasks |
Section 2.1: Getting Ready |
Section 2.2: Getting Agreements with Partners |
Section 2.3: Getting Access to Your Sample |
Section 2.4: Obtaining Human Subjects Clearance |
Section 2.5: Obtaining Funding |
Section 2.6: Getting Materials Ready |
Section 2.7: Getting Personnel |
Section 2.8: Formalizing Data Collection (Codebooks) |
Section 2.9: Training Personnel |
Section 3 Monitoring The Process |
Section 3.1: Monitoring Data Collection |
Section 3.2: Monitoring Contamination |
Section 3.3: Monitoring Fidelity |
Section 3.4: Monitoring Other Potential Problems |
Section 4: Data Management |
Section 4.1: Data Procurement |
Section 4.2: Transferring Data to an Electronic Format |
Section 4.3: Creating New Variables |
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Chapter 12: Implementation Examples |
Section 1: Kathy |
Section 2: Maria |
Section 3: Abigail |
Section 4: Yuan |
Section 5: John |
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Chapter 13: Quantitative Analysis |
Section 1: Important Terms |
Section 2: Checking Your Data |
Section 3: Univariate Statistics |
Section 4: How We Explore Data and Test Hypotheses |
Section 5: Basic Statistical Tests |
Section 5.1: Tests of Association |
Section 5.11: Bivariate Categorical Tests |
Section 5.12: Correlation |
Section 5.2: Tests of Difference |
Section 5.21: T-Tests |
Section 5.22: One-Way ANOVA |
Section 5.11: Factorial ANOVA or Two-Way ANOVA |
Section 6: An Introduction to Regression |
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Chapter 14: Moving On in Quantitative Analysis |
Section 1: Advanced Applications of Correlation: Multiple Regression |
Section 2: Principal Components Analysis |
Section 3: ANCOVA & MANOVA: Combining Ideas of Regression and ANOVA |
Section 4: Introduction to Advanced Categorical Analyses |
Section 5: Logistic Regression |
Section 6: Controlling For Time |
Section 7: Categorical Time to Event Analyses |
Section 8: Special Issues |
Section 5.1: Clustering of Observations |
Section 5.2: Correlations Over Time |
Section 5.21: Complex Data Sets, GIS and Other Analytic Needs |
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Chapter 15 Analysis Examples |
Section 1: Kathy |
Section 2: Maria |
Section 3: Abigail |
Section 4: Yuan |
Section 5: John |
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Chapter 16: Interpretation & Dissemination |
Section 1: Four Components of Scientific Reporting |
Section 2: Different Audiences |
Section 3: Different Types of Products |
Section 4: Practical Advice for Getting Presentations and Articles Accepted |
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Appendix: Grant Examples |
Foundation Grant Example |
NSF Grant Example |