Statistical Analysis with The General Linear Model

Statistical Analysis with The General Linear Model

An introductory textbook describing statistical analysis with analysis of variance (ANOVA, including repeated-measures and mixed designs), simple and multiple regression, and analysis of covariance.

Tag(s): Statistics

Publication date: 16 Feb 2016

ISBN-10: n/a

ISBN-13: n/a

Paperback: 274 pages

Views: 2,614

Type: Textbook

Publisher: n/a

License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic

Post time: 07 Mar 2017 04:00:00

Statistical Analysis with The General Linear Model

Statistical Analysis with The General Linear Model An introductory textbook describing statistical analysis with analysis of variance (ANOVA, including repeated-measures and mixed designs), simple and multiple regression, and analysis of covariance.
Tag(s): Statistics
Publication date: 16 Feb 2016
ISBN-10: n/a
ISBN-13: n/a
Paperback: 274 pages
Views: 2,614
Document Type: Textbook
Publisher: n/a
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic
Post time: 07 Mar 2017 04:00:00
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From the Book's Webpage:
Jeffrey Miller wrote:Statistical Analysis with the General Linear Model by Miller and Haden is an introductory textbook describing statistical analysis with analysis of variance (ANOVA, including repeated-measures and mixed designs), simple and multiple regression, and analysis of covariance. It is intended for social sciences students with a minimum of mathematical background who have had one previous statistics class covering descriptive statistics and basic hypothesis testing. It includes detailed explanations and many examples, and it could serve as the basis for an advanced statistics course. If you do use this textbook in any of your classes, I would love to hear about it. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License.

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About The Author(s)


Patricia Haden holds a B.Sc. in Cognitive Psychology and an M.Sc. in Computer Science from the University of California at San Diego. After immigrating to New Zealand in 1994, she became the Director of Networked Medical Education at the University of Otago Medical School, developing software for teaching, training and assessment. She joined the School of ICT in 2002. She teaches advanced software development and is the Schools Research Coordinator.

Patricia Haden

Patricia Haden holds a B.Sc. in Cognitive Psychology and an M.Sc. in Computer Science from the University of California at San Diego. After immigrating to New Zealand in 1994, she became the Director of Networked Medical Education at the University of Otago Medical School, developing software for teaching, training and assessment. She joined the School of ICT in 2002. She teaches advanced software development and is the Schools Research Coordinator.


Professor Jeff Miller has served as the director of the Center for Human Information Processing at UCSD, the director of the Cognitive Science Programme at Otago, and the head of the Psychology Department at Otago. He has authored over 140 articles in refereed journals, a downloadable book on statistical analysis, and numerous freely available statistical programs. His research has been supported by the National Institute of Mental Health (USA) and the Marsden Foundation (NZ), and he is a fellow of the RSNZ. His research interests are cognitive psychology, and quantitative and statistical models and methods.

Jeffrey Miller

Professor Jeff Miller has served as the director of the Center for Human Information Processing at UCSD, the director of the Cognitive Science Programme at Otago, and the head of the Psychology Department at Otago. He has authored over 140 articles in refereed journals, a downloadable book on statistical analysis, and numerous freely available statistical programs. His research has been supported by the National Institute of Mental Health (USA) and the Marsden Foundation (NZ), and he is a fellow of the RSNZ. His research interests are cognitive psychology, and quantitative and statistical models and methods.


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