PDF Ebook Research Design and Statistical Analysis: Third Edition, by Jerome L. Myers, Arnold D. Well, Robert F. Lorch Jr
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Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them.
Changes in the New Edition:
- Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed.
- A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations.
- A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study.
- A new chapter (27) on common errors in data analysis and interpretation.
- Increased emphasis on power analyses to determine sample size using the G*Power 3 program.
- Many new data sets and problems.
- More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages.
- A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only.
Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory.
This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.
- Sales Rank: #81916 in Books
- Brand: Brand: Routledge
- Published on: 2010-05-18
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.00" w x 1.50" l, 2.50 pounds
- Binding: Hardcover
- 832 pages
- Used Book in Good Condition
Review
"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 statistical concepts and examples of experiments where they can be used. The authors also give the hint on the analysis of experiment. The book is very good lecture about statistics and I read it with a great interest." - Anna Szczepa´nska, Pozna´n University of Life Sciences, Poland, in International Statistical Review
"The authors do an exceptional job in covering important topics in a manner that is sophisticated, rigorous, and yet readily accessible. As in previous editions, the authors lay a solid foundation that allows the reader to easily generalize to situations beyond what is covered. The integrative chapters use real data to show how concepts interrelate – what a wonderful idea. The book continues to be a terrific text book for graduate students as well as a valuable resource book for more experienced researchers." – Edward J. O’Brien, University of New Hampshire, USA
"I love the "integrated analysis" chapters. They will allow students to practice their new skills, to think critically about data sets, and to learn to write results and discussion sections for papers." - Celia M. Klin, Binghamton University, USA
"The Myers & Well book is the best available book for a one-year graduate statistics sequence…I currently use the 2nd edition…I use it because it provides the best fit for the material I think needs to be covered … and it is an outstanding reference that students should have." - William Levine, University of Arkansas, USA
About the Author
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.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Great supplemental text for psychology graduate courses
By Kate
I think this textbook provides a great overview of some very complex concepts. I am currently taking an advanced research methods for psychology series of courses in grad school and I find myself reaching to this book for extra support and clarification. I really like how the book is organized and it includes so much detail--at times it can be overwhelming. For example it shows you the definitions for sum of squares in ANOVA, which is a little more detail than necessary for my needs. That said, a separate SPSS guide is necessary since this will only go over the stats and not how to input, read or interpret SPSS outputs.
Although it might not be the intended purpose, my professor has used this textbook's data sets to help us practice some of the concepts. The data sets are well designed for that purpose.
0 of 0 people found the following review helpful.
It is too conceptual and it is very easy to get lost in the details
By Jocelyn Y. Solis-Moreira
Had to get it for my Psychology Statistics class. It is too conceptual and it is very easy to get lost in the details. Only used it for the tables and some practice problems. Would not recommend.
0 of 0 people found the following review helpful.
Doesn't make me want to kill myself. A+ (SERIOUSLY ITS A GOOD BOOK)
By B.F. Skinner
Oddly its an amusing text, humor is thrown in here and there in little lines. I have used several statistics texts throughout my career, & this one I don't hate. Some people actually get excited about it, I don't see myself ever getting to that point. But the way the information is formatted and presented makes it more accessible compared to a Tabachnick/Fidell text.
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