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E-grāmata: Research Design and Statistical Analysis 4th edition [Taylor & Francis e-book]

, , , (University of Kentucky, Lexington, USA)
  • Formāts: 814 pages, 261 Tables, black and white; 307 Line drawings, black and white; 20 Halftones, black and white; 327 Illustrations, black and white
  • Izdošanas datums: 28-Jan-2025
  • Izdevniecība: Routledge
  • ISBN-13: 9781003453550
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  • Taylor & Francis e-book
  • Cena: 155,64 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 222,34 €
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Research Design and Statistical Analysis 4th editionPalielināt
  • Formāts: 814 pages, 261 Tables, black and white; 307 Line drawings, black and white; 20 Halftones, black and white; 327 Illustrations, black and white
  • Izdošanas datums: 28-Jan-2025
  • Izdevniecība: Routledge
  • ISBN-13: 9781003453550
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003453550
"This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences. The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format, R scripts, and a solutions manual"--

This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.

Key features include:

  • Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses.
  • Detailed instructions on performing analysis using both R and SPSS.
  • Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals.

Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.

The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.



This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data.

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

Caren M. Rotello is Professor Emerita at the University of Massachusetts Amherst. She received her Ph.D. in Psychology from Stanford University.

Jerome L. Myers is Professor Emeritus at the University of Massachusetts Amherst. He received his Ph.D. in Psychology from the University of Wisconsin.

Arnold D. Well is Professor Emeritus at the University of Massachusetts Amherst. He received his Ph.D. in Experimental Psychology from the University of Oregon.

Robert F. Lorch, Jr., is Professor Emeritus at the University of Kentucky. He received his Ph.D. in Psychology from the University of Massachusetts Amherst.
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