Analysis of Variance & Functional Measurement: A Practical Guide

David J. Weiss

ISBN 10: 0195183150 / ISBN 13: 9780195183153

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2005 OUP hardcover edition plus CD. Light reading wear else very good condition.

Codice articolo FJ-9AMM-0EHK

Dati bibliografici

• Titolo: Analysis of Variance & Functional Measurement: A Practical Guide
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0195183150
• ISBN 13: 9780195183153
• Rilegatura: Hardcover
• Condizione: Very Good
• Cataloghi dei venditori:
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Descrizione articolo

Riassunto

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.

Contenuti

• 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