About the Book
Analysis of variance is the backbone of experimental research. This book is a clear and straightforward guide to how to do the analyses, with an emphasis on how to interpret statistical results and translate them into prose that will clearly tell the audience what the data are saying. There are plenty of end-of-chapter practice problems, all with suggested answers. Life in the laboratory doesn't always follow the script, so both new and established techniques are presented for coping with non-standard situations. Because data analysis is not a closed subject, pros and cons are presented for various options. The final chapter is the first elementary presentation of functional measurement, a methodology built upon analysis of variance. Initially developed by Norman H Anderson, functional measurement (also known as information integration theory) offers a powerful technology for studying cognitive processes. The accompanying CD contains analysis of variance software that is easy to use (really!), with an interface that greets the user with appropriate requests. In addition to programs for standard analyses, the software includes several specialized routines that have heretofore been presented only in journals. This guide will be an important resource for students and professionals in the social, behavioural and neurosciences.
Table of Contents:
Chapter I: Introduction
Chapter II: One-way ANOVA
Chapter III: Using the Computer
Chapter IV: Factorial Structure
Chapter V: Two-way ANOVA
Chapter VI: Multi-factor Designs
Chapter VII: Error Purifying Designs
Chapter VIII: Specific Comparisons
Chapter IX: Measurement Issues
Chapter X: Strength of Effect**
Chapter XI: Nested Designs**
Chapter XII: Missing Data**
Chapter XIII: Confounded Designs**
Chapter XIV: Introduction to Functional Measurement**
Terms from Introductory Statistics
References
Subject Index
Name Index
Review :
"This is a well-written introduction to ANOVA.... The multitude of examples and handy parallels with the included statistical software make this a user-friendly book." --Doody's
"This is an outstanding textbook on experimental design and analysis. It is ideally positioned for new students with little or no background in statistics. It has three notable features that put it above the competitors: First, it is extremely well written and easy to follow . . . Second, the book contains several important topics that are often ignored in comparable books . . . Third, the CALSTAT computer package is a delight! It is a stable, well-programmed
series of interconnected programs that are approachable, even fun to use. In fact, CALSTAT is worth the price of the book alone. The bottom line is that Weiss text sets the standard for use in design
and analysis courses targeted to students with minimal background."--James Shanteau, University Distinguished Professor and Commerce Bank Distinguished Graduate Professor of Psychology, Kansas State University
"Analysis of Variance and Functional Measurement is an essential addition to the bookshelf of any serious analyst of behavioral data. Like a good dance partner who neither leads nor follows but anticipates and trusts, Weiss has an uncanny talent for writing clearly about sophisticated and complex issues with a tone that is singularly authoritative and compassionate. Readers will find 14 well-written, satisfying chapters that explain statistical
concepts in everyday language, many of which are short enough to be read in a single sitting. With this book, David Weiss succeeds in becoming what every student hopes foran ally in the classroom."-- Anthony D. Ong,
Department of Psychology, University of Notre Dame
"Finally, a literate and readable statistics text. Students now have one fewer reason to avoid learning statistics. If Weiss lectures as well as he writes, someone should nominate him for teacher of the year."-- Warren Thorngate, Professor of Psychology, Carleton University
"Those of us who have suffered its teaching tortures know the signs. Heavy lids. Furrowed brows. Empty seats. Frequent groans. And a text thicker than two planks, more expensive than a heart transplant, and read less often than the Gideon bible. The joys of teaching advanced statistics to less-than-advanced students are few (Mean = 0.3, df = 0, p 0.02). Yet there are signs of hope. Our own David Weiss has just published a thoughtful, readable, and refreshingly
short textbook on the analysis of variance and functional measurement, suitable for advanced undergraduates or graduate students in a 10-12 week course, or for people wanting to jog their memory about
these topics. Worth a look for a course adoption." --Society for Judgment and Decision Making Newsletter, March 2006
"...useful as a practical guide for both undergraduate and postgraduate work (as well as academics who have gotten a bit rusty!)...This book provides excellent advice and procedures for dealing with missing data, non-normal distributions and differences in sample sizes ...an excellent learning and reference text for most social scientists."--Psychology Teaching Review
"This is a well-written introduction to ANOVA.... The multitude of examples and handy parallels with the included statistical software make this a user-friendly book." --Doody's
"This is an outstanding textbook on experimental design and analysis. It is ideally positioned for new students with little or no background in statistics. It has three notable features that put it above the competitors: First, it is extremely well written and easy to follow . . . Second, the book contains several important topics that are often ignored in comparable books . . . Third, the CALSTAT computer package is a delight! It is a stable, well-programmed
series of interconnected programs that are approachable, even fun to use. In fact, CALSTAT is worth the price of the book alone. The bottom line is that Weiss text sets the standard for use in design
and analysis courses targeted to students with minimal background."--James Shanteau, University Distinguished Professor and Commerce Bank Distinguished Graduate Professor of Psychology, Kansas State University
"Analysis of Variance and Functional Measurement is an essential addition to the bookshelf of any serious analyst of behavioral data. Like a good dance partner who neither leads nor follows but anticipates and trusts, Weiss has an uncanny talent for writing clearly about sophisticated and complex issues with a tone that is singularly authoritative and compassionate. Readers will find 14 well-written, satisfying chapters that explain statistical
concepts in everyday language, many of which are short enough to be read in a single sitting. With this book, David Weiss succeeds in becoming what every student hopes foran ally in the classroom."-- Anthony D. Ong,
Department of Psychology, University of Notre Dame
"Finally, a literate and readable statistics text. Students now have one fewer reason to avoid learning statistics. If Weiss lectures as well as he writes, someone should nominate him for teacher of the year."-- Warren Thorngate, Professor of Psychology, Carleton University
"Those of us who have suffered its teaching tortures know the signs. Heavy lids. Furrowed brows. Empty seats. Frequent groans. And a text thicker than two planks, more expensive than a heart transplant, and read less often than the Gideon bible. The joys of teaching advanced statistics to less-than-advanced students are few (Mean = 0.3, df = 0, p < 0.02). Yet there are signs of hope. Our own David Weiss has just published a thoughtful, readable, and
refreshingly short textbook on the analysis of variance and functional measurement, suitable for advanced undergraduates or graduate students in a 10-12 week course, or for people wanting to jog their memory
about these topics. Worth a look for a course adoption." --Society for Judgment and Decision Making Newsletter, March 2006
"...useful as a practical guide for both undergraduate and postgraduate work (as well as academics who have gotten a bit rusty!)...This book provides excellent advice and procedures for dealing with missing data, non-normal distributions and differences in sample sizes ...an excellent learning and reference text for most social scientists."--Psychology Teaching Review
