Analysis of Variance and Functional Measurement

• 1. Introduction ; 2. One-way ANOVA ; 3. Using the Computer ; 4. Factorial Structure ; 5. Two-way ANOVA ; 6. Multifactor Designs ; 7. Error-Purifying Designs ; 8. Specific Comparisons ; 9. Measurement Issues ; 10. Strength of Effect ; 11. Nested Designs ; 12. Missing Data ; 13. Confounded Designs ; 14. Introduction to Functional Measurement

"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-programmedseries 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 designand 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 statisticalconcepts 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 refreshinglyshort 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 aboutthese 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-programmedseries 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 designand 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 statisticalconcepts 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, andrefreshingly 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 memoryabout 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