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