Maxwell Roberts, Riccardo Russo

The first 40 pages of this text explain the basics of experimental procedure, samples and populations, hypothesis testing, the mean, variance, t-tests and how variance can be used to look for group differences. The material is handled extremely well and the reader certainly gets a good flavour of this important background information. The chapter on interactions and how to interpret them is one of the best I have seen: it gently guides the reader to a richer understanding of why interactions are so important. A great book for most second-year undergraduate students. - Andy Field, Royal Holloway University of LondonThis is an attractive and clearly-written book with a certain amount of soul or conviction, even though it is a statistics textbook. - John Goyder, University of WaterlooThis book has proven to be essential in my understanding of ANOVA. Every aspect of analysis of variance is clearly explained and the text is very easy to read and understand. Every new aspect is backed up with worked examples, making it easy to grasp both the simpler and more complex concepts. Particularly useful is the appendix explaining how to present the results of ANOVA's in a formal lab report. This text goes further than standard statistics textbooks and I would recommend it to anyone who has to use ANOVA, whether for the first time or for refreshing your memory! - Psychology undergraduate on Amazon.co.uk

• List of Figures. List of Tables. List of Boxes. Preface. Acknowledgements. Introduction. Averages, Measures of Dispersal and the t-test. Using Variance to Test Hypotheses. Calculating F Ratios for One-factor Between-subjects Designs. One-factor Between-subjects ANOVA: Advanced Topics. Following up a One-factor Between-subjects ANOVA. Calculating F Ratios for One-factor Within-subjects Designs. An Introduction to Factorial Designs and Interactions. Calculating F Ratios for Two-factor Between-subjects Designs. Following up a Two-factor Between-subjects ANOVA. Interpreting Two-factor Mixed and Within-subjects Designs. Interpreting a Three-factor ANOVA. Summary and Frequently Asked Questions. Appendix A: Writing up the Results of Analysis of Variance. Appendix B: Statistical Tables. Notes. References. Index.

Maxwell Roberts, Riccardo Russo

The first 40 pages of this text explain the basics of experimental procedure, samples and populations, hypothesis testing, the mean, variance, t-tests and how variance can be used to look for group differences. The material is handled extremely well and the reader certainly gets a good flavour of this important background information. The chapter on interactions and how to interpret them is one of the best I have seen: it gently guides the reader to a richer understanding of why interactions are so important. A great book for most second-year undergraduate students. - Andy Field, Royal Holloway University of LondonThis is an attractive and clearly-written book with a certain amount of soul or conviction, even though it is a statistics textbook. - John Goyder, University of WaterlooThis book has proven to be essential in my understanding of ANOVA. Every aspect of analysis of variance is clearly explained and the text is very easy to read and understand. Every new aspect is backed up with worked examples, making it easy to grasp both the simpler and more complex concepts. Particularly useful is the appendix explaining how to present the results of ANOVA's in a formal lab report. This text goes further than standard statistics textbooks and I would recommend it to anyone who has to use ANOVA, whether for the first time or for refreshing your memory! - Psychology undergraduate on Amazon.co.uk

• List of Figures. List of Tables. List of Boxes. Preface. Acknowledgements. Introduction. Averages, Measures of Dispersal and the t-test. Using Variance to Test Hypotheses. Calculating F Ratios for One-factor Between-subjects Designs. One-factor Between-subjects ANOVA: Advanced Topics. Following up a One-factor Between-subjects ANOVA. Calculating F Ratios for One-factor Within-subjects Designs. An Introduction to Factorial Designs and Interactions. Calculating F Ratios for Two-factor Between-subjects Designs. Following up a Two-factor Between-subjects ANOVA. Interpreting Two-factor Mixed and Within-subjects Designs. Interpreting a Three-factor ANOVA. Summary and Frequently Asked Questions. Appendix A: Writing up the Results of Analysis of Variance. Appendix B: Statistical Tables. Notes. References. Index.

Maxwell Roberts, Riccardo Russo

The first 40 pages of this text explain the basics of experimental procedure, samples and populations, hypothesis testing, the mean, variance, t-tests and how variance can be used to look for group differences. The material is handled extremely well and the reader certainly gets a good flavour of this important background information. The chapter on interactions and how to interpret them is one of the best I have seen: it gently guides the reader to a richer understanding of why interactions are so important. A great book for most second-year undergraduate students. - Andy Field, Royal Holloway University of LondonThis is an attractive and clearly-written book with a certain amount of soul or conviction, even though it is a statistics textbook. - John Goyder, University of WaterlooThis book has proven to be essential in my understanding of ANOVA. Every aspect of analysis of variance is clearly explained and the text is very easy to read and understand. Every new aspect is backed up with worked examples, making it easy to grasp both the simpler and more complex concepts. Particularly useful is the appendix explaining how to present the results of ANOVA's in a formal lab report. This text goes further than standard statistics textbooks and I would recommend it to anyone who has to use ANOVA, whether for the first time or for refreshing your memory! - Psychology undergraduate on Amazon.co.uk

• List of Figures. List of Tables. List of Boxes. Preface. Acknowledgements. Introduction. Averages, Measures of Dispersal and the t-test. Using Variance to Test Hypotheses. Calculating F Ratios for One-factor Between-subjects Designs. One-factor Between-subjects ANOVA: Advanced Topics. Following up a One-factor Between-subjects ANOVA. Calculating F Ratios for One-factor Within-subjects Designs. An Introduction to Factorial Designs and Interactions. Calculating F Ratios for Two-factor Between-subjects Designs. Following up a Two-factor Between-subjects ANOVA. Interpreting Two-factor Mixed and Within-subjects Designs. Interpreting a Three-factor ANOVA. Summary and Frequently Asked Questions. Appendix A: Writing up the Results of Analysis of Variance. Appendix B: Statistical Tables. Notes. References. Index.