Introduction to Analysis of Variance: Design, Analyis & Interpretation
Autor J. Rick Turner, Julian F. Thayeren Limba Engleză Paperback – 29 iun 2001
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Specificații
ISBN-13: 9780803970755
ISBN-10: 0803970757
Pagini: 192
Ilustrații: black & white illustrations
Dimensiuni: 152 x 229 x 11 mm
Greutate: 0.27 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 0803970757
Pagini: 192
Ilustrații: black & white illustrations
Dimensiuni: 152 x 229 x 11 mm
Greutate: 0.27 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
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Recenzii
"The strengths of the texts include the explanation of the different types of designs that are appropriate for ANOVA techniques. Description of the summary tables is well done, and the authors provide a good explanation of the differences between ‘within subjects’ and ‘between subjects’ designs and how these differences translate into more powerful designs when using repeated measures."
"The book does a great job of covering the necessary information and leaving the student with an understanding of not only what they are doing but what it all means. I would use it in my classes and I would recommend it to colleagues as a professional book if they are not well-versed in ANOVA."
"The book does a great job of covering the necessary information and leaving the student with an understanding of not only what they are doing but what it all means. I would use it in my classes and I would recommend it to colleagues as a professional book if they are not well-versed in ANOVA."
Cuprins
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 <i>t</i>-Tests
Two-Factor Independent Groups ANOVA
Repeated Measures ANOVAs
One-Factor Repeated Measures ANOVA
Multiple Comparisons: Dependent Measures <i>t</i>-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
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 <i>t</i>-Tests
Two-Factor Independent Groups ANOVA
Repeated Measures ANOVAs
One-Factor Repeated Measures ANOVA
Multiple Comparisons: Dependent Measures <i>t</i>-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
Notă biografică
Dr J. Rick Turner is President, Turner Consulting & Communications LLC, and Adjunct Professor of Pharmacy Practice at Campbell University College of Pharmacy & Health Sciences. He is an experimental research scientist and clinical trialist, with particular interests in the cardiac and cardiovascular safety of noncardiovascular drugs and the development and use of drugs for hypertension and type 2 diabetes mellitus.
He has published 15 books and over 100 peer-reviewed papers. He is member of the Cardiac Safety Research Consortium¿s Executive Committee and a Fellow of the Society of Behavioral Medicine, the American Society of Hypertension, the American College of Cardiology, the European Society of Cardiology, and the American College of Clinical Pharmacology.
He has published 15 books and over 100 peer-reviewed papers. He is member of the Cardiac Safety Research Consortium¿s Executive Committee and a Fellow of the Society of Behavioral Medicine, the American Society of Hypertension, the American College of Cardiology, the European Society of Cardiology, and the American College of Clinical Pharmacology.
Descriere
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.