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Research design and statistical analysis

Author: Jerome L Myers; A Well; Robert Frederick Lorch
Publisher: New York : Routledge, 2010.
Edition/Format:   eBook : Document : English : Third editionView all editions and formats
Summary:

Provides coverage of the design principles and statistical concepts necessary to make sense of real data. This book provides an integrated example of how to apply the concepts and procedures covered  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Myers, Jerome L.
Research design and statistical analysis.
New York : Routledge, 2010
(DLC) 2009032606
(OCoLC)432442228
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jerome L Myers; A Well; Robert Frederick Lorch
ISBN: 9781135811563 1135811563 0203726634 9780203726631
OCLC Number: 826657854
Description: 1 online resource (xix, 809 pages) : illustrations
Contents: pt. 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 --
pt. 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 --
pt. 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 --
pt. 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 --
pt. 5: Epliogue. 27. Some final thoughts: twenty suggestions and cautions.
Responsibility: Jerome L. Myers, Arnold D. Well, Robert F. Lorch, Jr.

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"This book is written in a clear and comprehensible way. Chapter by chapter the reader gets to know statistics from basic to more advanced level. ... There are descriptions and interpretations of Read more...

 
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