Jerome L Myers, Arnold D Well, Robert F Lorch Jr
Research Design and Statistical Analysis
Third Edition
Jerome L Myers, Arnold D Well, Robert F Lorch Jr
Research Design and Statistical Analysis
Third Edition
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First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.
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First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- 3rd edition
- Seitenzahl: 832
- Erscheinungstermin: 18. Mai 2010
- Englisch
- Abmessung: 254mm x 178mm x 44mm
- Gewicht: 1642g
- ISBN-13: 9780805864311
- ISBN-10: 0805864318
- Artikelnr.: 40256780
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis
- 3rd edition
- Seitenzahl: 832
- Erscheinungstermin: 18. Mai 2010
- Englisch
- Abmessung: 254mm x 178mm x 44mm
- Gewicht: 1642g
- ISBN-13: 9780805864311
- ISBN-10: 0805864318
- Artikelnr.: 40256780
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Jerome L Myers is Professor Emeritus at the University of Massachusetts at Amherst. He received his Ph.D. in Psychology from the University of Wisconsin. Arnold Well is a Professor Emeritus at the University of Massachusetts at Amherst. He received his Ph.D. in Experimental Psychology from the University of Oregon. Robert F. Lorch, Jr. is a Professor of Psychology at the University of Kentucky. He received his Ph.D. in Psychology from the University of Massachusetts at Amherst.
Part 1. Foundations of Research Design and Data Analysis. 1. Planning the
Research. 2. Exploring 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-Subjects Designs. 8. Between Subjects Designs:
One Factor. 9. Multi-Factor Between-Subjects Designs. 10. Contrasting Means
in Between-Subjects Designs. 11. Trend Analysis in Between-Subjects
Designs. 12. Integrated Analysis II. Part 3. Repeated-Measures Designs.
13. Comparing Experimental Designs and Analyses. 14. One-Factor
Repeated-Measures Designs. 15. Multi-factor Repeated-Measures and Mixed
Designs. 16. Nested and Counterbalanced Variables in Repeated-Measures
Designs. 17. Integrated Analysis III. Part 4. Correlation and Regression.
18. An Introduction to Correlation and Regression. 19. More about
Correlation. 20. More about Bivariate Regression. 21. Introduction to
Multiple Regression. 22. Inference, Assumptions, and Power in Multiple
Regression. 23. Additional Topics in Multiple Regression. 24. Regression
with Qualitative and Quantitative Variables. 25. ANCOVA as a Special Case
of Multiple Regression. 26. Integrated Analysis IV: Multiple Regression.
Part 5. Epilogue. 27. Some Final Thoughts: Twenty Suggestions and Cautions.
Appendixes Appendix A: Notation and Summation Operations. Appendix B:
Expected Values and Their Applications. Appendix C: Statistical Tables.
Answers to Selected Exercises. References.
Research. 2. Exploring 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-Subjects Designs. 8. Between Subjects Designs:
One Factor. 9. Multi-Factor Between-Subjects Designs. 10. Contrasting Means
in Between-Subjects Designs. 11. Trend Analysis in Between-Subjects
Designs. 12. Integrated Analysis II. Part 3. Repeated-Measures Designs.
13. Comparing Experimental Designs and Analyses. 14. One-Factor
Repeated-Measures Designs. 15. Multi-factor Repeated-Measures and Mixed
Designs. 16. Nested and Counterbalanced Variables in Repeated-Measures
Designs. 17. Integrated Analysis III. Part 4. Correlation and Regression.
18. An Introduction to Correlation and Regression. 19. More about
Correlation. 20. More about Bivariate Regression. 21. Introduction to
Multiple Regression. 22. Inference, Assumptions, and Power in Multiple
Regression. 23. Additional Topics in Multiple Regression. 24. Regression
with Qualitative and Quantitative Variables. 25. ANCOVA as a Special Case
of Multiple Regression. 26. Integrated Analysis IV: Multiple Regression.
Part 5. Epilogue. 27. Some Final Thoughts: Twenty Suggestions and Cautions.
Appendixes Appendix A: Notation and Summation Operations. Appendix B:
Expected Values and Their Applications. Appendix C: Statistical Tables.
Answers to Selected Exercises. References.
Part 1. Foundations of Research Design and Data Analysis. 1. Planning the
Research. 2. Exploring 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-Subjects Designs. 8. Between Subjects Designs:
One Factor. 9. Multi-Factor Between-Subjects Designs. 10. Contrasting Means
in Between-Subjects Designs. 11. Trend Analysis in Between-Subjects
Designs. 12. Integrated Analysis II. Part 3. Repeated-Measures Designs.
13. Comparing Experimental Designs and Analyses. 14. One-Factor
Repeated-Measures Designs. 15. Multi-factor Repeated-Measures and Mixed
Designs. 16. Nested and Counterbalanced Variables in Repeated-Measures
Designs. 17. Integrated Analysis III. Part 4. Correlation and Regression.
18. An Introduction to Correlation and Regression. 19. More about
Correlation. 20. More about Bivariate Regression. 21. Introduction to
Multiple Regression. 22. Inference, Assumptions, and Power in Multiple
Regression. 23. Additional Topics in Multiple Regression. 24. Regression
with Qualitative and Quantitative Variables. 25. ANCOVA as a Special Case
of Multiple Regression. 26. Integrated Analysis IV: Multiple Regression.
Part 5. Epilogue. 27. Some Final Thoughts: Twenty Suggestions and Cautions.
Appendixes Appendix A: Notation and Summation Operations. Appendix B:
Expected Values and Their Applications. Appendix C: Statistical Tables.
Answers to Selected Exercises. References.
Research. 2. Exploring 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-Subjects Designs. 8. Between Subjects Designs:
One Factor. 9. Multi-Factor Between-Subjects Designs. 10. Contrasting Means
in Between-Subjects Designs. 11. Trend Analysis in Between-Subjects
Designs. 12. Integrated Analysis II. Part 3. Repeated-Measures Designs.
13. Comparing Experimental Designs and Analyses. 14. One-Factor
Repeated-Measures Designs. 15. Multi-factor Repeated-Measures and Mixed
Designs. 16. Nested and Counterbalanced Variables in Repeated-Measures
Designs. 17. Integrated Analysis III. Part 4. Correlation and Regression.
18. An Introduction to Correlation and Regression. 19. More about
Correlation. 20. More about Bivariate Regression. 21. Introduction to
Multiple Regression. 22. Inference, Assumptions, and Power in Multiple
Regression. 23. Additional Topics in Multiple Regression. 24. Regression
with Qualitative and Quantitative Variables. 25. ANCOVA as a Special Case
of Multiple Regression. 26. Integrated Analysis IV: Multiple Regression.
Part 5. Epilogue. 27. Some Final Thoughts: Twenty Suggestions and Cautions.
Appendixes Appendix A: Notation and Summation Operations. Appendix B:
Expected Values and Their Applications. Appendix C: Statistical Tables.
Answers to Selected Exercises. References.