Research Design and Statistical Analysis
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Research Design and Statistical Analysis
Well, Arnold D.; Rotello, Caren M.; Myers, Jerome L.; Lorch, Jr., Robert F.
Taylor & Francis Ltd
01/2025
814
Dura
9781032592107
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PART 1: Foundations of Research Design and Data Analysis 1. Planning the Research 2. Describing the Data 3. Basic Concepts in Probability 4. Developing the Fundamentals of Hypothesis Testing Using the Binomial Distribution 5. Further Development of the Foundations of Statistical Inference 6. The t Distribution and Its Applications 7. Integrated Analysis I PART 2: Between-Participants Designs 8. Between-Participants Designs: One Factor 9. Multi-Factor Between-Participants Designs 10. Contrasting Means in Between-Subjects Designs 11. Integrated Analysis II PART 3: Repeated-Measures Designs 12. Comparing Experimental Designs and Analyses 13. One-Factor Repeated-Measures Designs
14. Multi-Factor Repeated-Measures and Mixed Designs 15. Nested and Counterbalanced Variables in Repeated-Measures Designs 16. Integrated Analysis III PART 4: Correlation and Regression 17. An Introduction to Correlation and Regression 18. More About Correlation 19. More About Bivariate Regression 20. Introduction to Multiple Regression 21. Inference, Assumptions, and Power in Multiple Regression 22. Additional Topics in Multiple Regression 23. Regression with Qualitative and Quantitative Variables 24. ANCOVA as a Special Case of Multiple Regression 25. Integrated Analysis IV PART 5: Epilogue 26. Some Final Thoughts, Suggestions, and Cautions APPENDICES Appendix A: Notation and Summation Operations Appendix B: Expected Values and Their Applications Appendix C: Statistical Tables
Answers to Selected Exercise
14. Multi-Factor Repeated-Measures and Mixed Designs 15. Nested and Counterbalanced Variables in Repeated-Measures Designs 16. Integrated Analysis III PART 4: Correlation and Regression 17. An Introduction to Correlation and Regression 18. More About Correlation 19. More About Bivariate Regression 20. Introduction to Multiple Regression 21. Inference, Assumptions, and Power in Multiple Regression 22. Additional Topics in Multiple Regression 23. Regression with Qualitative and Quantitative Variables 24. ANCOVA as a Special Case of Multiple Regression 25. Integrated Analysis IV PART 5: Epilogue 26. Some Final Thoughts, Suggestions, and Cautions APPENDICES Appendix A: Notation and Summation Operations Appendix B: Expected Values and Their Applications Appendix C: Statistical Tables
Answers to Selected Exercise
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hypothesis;effect;size;standard;error;repeated;measures;sampling;distribution
PART 1: Foundations of Research Design and Data Analysis 1. Planning the Research 2. Describing the Data 3. Basic Concepts in Probability 4. Developing the Fundamentals of Hypothesis Testing Using the Binomial Distribution 5. Further Development of the Foundations of Statistical Inference 6. The t Distribution and Its Applications 7. Integrated Analysis I PART 2: Between-Participants Designs 8. Between-Participants Designs: One Factor 9. Multi-Factor Between-Participants Designs 10. Contrasting Means in Between-Subjects Designs 11. Integrated Analysis II PART 3: Repeated-Measures Designs 12. Comparing Experimental Designs and Analyses 13. One-Factor Repeated-Measures Designs
14. Multi-Factor Repeated-Measures and Mixed Designs 15. Nested and Counterbalanced Variables in Repeated-Measures Designs 16. Integrated Analysis III PART 4: Correlation and Regression 17. An Introduction to Correlation and Regression 18. More About Correlation 19. More About Bivariate Regression 20. Introduction to Multiple Regression 21. Inference, Assumptions, and Power in Multiple Regression 22. Additional Topics in Multiple Regression 23. Regression with Qualitative and Quantitative Variables 24. ANCOVA as a Special Case of Multiple Regression 25. Integrated Analysis IV PART 5: Epilogue 26. Some Final Thoughts, Suggestions, and Cautions APPENDICES Appendix A: Notation and Summation Operations Appendix B: Expected Values and Their Applications Appendix C: Statistical Tables
Answers to Selected Exercise
14. Multi-Factor Repeated-Measures and Mixed Designs 15. Nested and Counterbalanced Variables in Repeated-Measures Designs 16. Integrated Analysis III PART 4: Correlation and Regression 17. An Introduction to Correlation and Regression 18. More About Correlation 19. More About Bivariate Regression 20. Introduction to Multiple Regression 21. Inference, Assumptions, and Power in Multiple Regression 22. Additional Topics in Multiple Regression 23. Regression with Qualitative and Quantitative Variables 24. ANCOVA as a Special Case of Multiple Regression 25. Integrated Analysis IV PART 5: Epilogue 26. Some Final Thoughts, Suggestions, and Cautions APPENDICES Appendix A: Notation and Summation Operations Appendix B: Expected Values and Their Applications Appendix C: Statistical Tables
Answers to Selected Exercise
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
