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
