Table of Contents 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 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 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 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 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 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 Chapter 7: Clinical Multisubject Research Section 1: Introduction Section 2: Needs Assessment and Caseload Analysis Section 3: Program Monitoring Section 4: Outcome Evaluation 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 Chapter 9: Design Examples Section 1: Kathy Section 2: Maria Section 3: Abigail Section 4: Yuan Section 5: John 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) 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 Chapter 12: Implementation Examples Section 1: Kathy Section 2: Maria Section 3: Abigail Section 4: Yuan Section 5: John 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 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 Chapter 15 Analysis Examples Section 1: Kathy Section 2: Maria Section 3: Abigail Section 4: Yuan Section 5: John 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 Appendix: Grant Examples Foundation Grant Example NSF Grant Example
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