Research Methods in Applied Settings: An Integrated Approach to Design and Analysis

Part I. Introductory Chapters
1. Definitions, Purposes and Dimensions of Research
2. Planning a Quantitative Research Project

Part II: Quantitative Research Approaches, Questions And Designs
3. Variables, Research Questions and Hypotheses
4. Research Approaches
5. Randomized Experimental and Quasi-Experimental Designs
6. Single-Subject Designs
7. Non-Experimental Approaches/Designs
8. Internal Validity

Part III: Sampling, Measurement and Data Collection
9. Sampling and Introduction to External Validity
10. Measurement and Descriptive Statistics
11. Measurement Reliability
12. Measurement Validity
13. Types of Data Collection Techniques
14. Ethical Issues in Conducting the Study
15. Practical Issues in Data Collection and Coding

Part IV: Data Analysis and Interpretation
16. Making Inferences from Sample Data I: The Null Hypothesis Significance Testing Approach
17. Making Inferences from Sample Data II: The Evidence-Based Approach
18. General Design Classifications for Selection of Difference Statistical Methods
19. Selection of Appropriate Statistical Methods: Integration of Design and Analysis
20. Data Analysis and Interpretation – Basic Difference Questions
21. Analysis and Interpretation of Basic Associational Research Questions
22. Analysis and Interpretation of Complex Research Questions

Part V: Evaluating And Writing Research Reports
23. Evaluating Research Validity: Part I
24. Evaluating Research Validity: Part II
25. Evaluating Research for Evidence-Based Practice
26. Writing the Research Report