基本説明
Introduces five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions.
Full Description
Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here's a new book that does all this in a particularly readable fashion. Turner and Thayer's text:
Shows how to design an experiment in the best possible way to investigate the topic of interest
Explains which associated analysis will best answer your research question
Demonstrates how to conduct the analysis and then fully interpret the results in the context of your research question
Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports.
Contents
Introduction
The Need for Analysis of Variance (ANOVA)
Means, Variances, Sums of Squares and Degrees of Freedom
Independent Group ANOVAs
One-Factor Independent Groups ANOVA
Multiple Comparisons: Independent Groups t-Tests
Two-Factor Independent Groups ANOVA
Repeated Measures ANOVAs
One-Factor Repeated Measures ANOVA
Multiple Comparisons: Dependent Measures t-Tests
Two-Factor Mixed Measures ANOVA
Two-Factor Repeated Measures ANOVA
Overview and Final Thoughts
Some Tips for Tests on ANOVA
Every Day Benefits of a Feel for Statistics and for Evaluating Data
