Research Design & Statistical Analysis (Google eBook)
This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands the underlying logic and assumptions of the analysis and what it tells them, the limitations of the analysis, and the possible consequences of violating assumptions.
The simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the integration of non-parametric techniques into relevant design chapters, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply.
Basic concepts, such as sampling distributions, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help the reader generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of articles using statistical methodology.
The second edition features a greater emphasis on graphics, confidence intervals, measures of effect size, power analysis, tests of contrasts, elementary probability, correlation, and regression. A Free CD that contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats, is included in the back of the book. An Instructor's Solutions Manual, containing the intermediate steps to all of the text exercises, is available free to adopters.
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Chapter 16 Hierarchical Designs
Chapter 17 Latin Squares and Related Designs
Chapter 18 More About Correlation
Chapter 19 More About Bivariate Regression
Chapter 20 Multiple Regression
The General Linear Model
Notation and Summation Operations
Expected Values and Their Applications
Chapter 9 Contrasts Among Means
Chapter 10 Trend Analysis
Significance Tests in the TwoWay Case
Chapter 13 RepeatedMeasures Designs
BetweenSubjects and WithinSubjects Factors
Blocking and Analysis of Covariance
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Research Design and Statistical Analysis by Jerome L. Myers ...
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Research design and statistical analysis. Jerome L. Myers,and Arnold D. Well,(2nd edn) Mahwah, NJ: LEA 2003 , £43.10.ISBN: 08058-4037-0 ...
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【书籍】【原创】Research Design and Statistical Analysis - 学术 ...
Title: Research Design and Statistical Analysis Author: Jerome L. Myers Publisher: Lawrence Erlbaum Associates Publication Date: 2002-11-01 ...
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Course Number and Title: KAHS 6010 3.0: Univariate Analysis and ...
Myers, jl and Well, ad Research Design and Statistical Analysis. New Jersey, Laurence Erlbaum, 1995. Repeated measures ANOVAS and the sphericity assumption. ...
www.yorku.ca/ kahs/ current_students/ course_outlines/ course_outline.asp?CourseOutline=6010
Myers J., Хорошо A. Проект Исследования и Статистический Анализ ...
Myers J., Хорошо A. Проект Исследования и Статистический Анализ. Myers J., Well A. Research Design and Statistical Analysis (2003)(299dpi)(T)(781s).djvu ...
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Jerome L. Myers
Research design and statistical analysis. New York: Harper Collins. (Re-released by Lawrence Erlbaum Associates, 1995). Myers, jl, & Well, A. (2003). ...
Myers J., Well A. Research Design and Statistical Analysis (2003 ...
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HCI Thesis Proposal Procedures
Research design and statistical analysis. New York: harpercollins. Nardi, ba (1996). Activity theory and human-computer interaction. ...
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