Serious Stat - Thom Baguley

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Résumé :
Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R. Key theory is reviewed and illustrated with examples of how to apply these concepts using real data.?

Biographie:
Thom Baguley

Sommaire:
Preface
Data, Samples and Statistics
Probability Distributions
Confidence Intervals
Significance Tests
Regression
Correlation and Covariance
Effect Size
Statistical Power
Exploring Messy Data
Dealing with Messy Data
Alternatives to Classical Statistical Inference
Multiple Regression and the General Linear Model
ANOVA and ANCOVA with Independent Measures
Interactions
Contrasts
Repeated Measures ANOVA
Modelling Discrete Outcomes
Multilevel Models
References.

This is an excellent text on advanced univariate statistics covering the range from probability distributions to multilevel models. The book is perfect for advanced undergraduates, honours students, and beginning graduate students. - Toon Cillessen, Professor of Psychology at Radboud University, Nijmegen, The Netherlands Serious Stats is a tour de force and a highly accessible exception amongst statistics textbooks. Blow the dust and presumptions off your undergraduate statistics and learn about the things you really need to know about modelling data and how to achieve them, especially if you're R-curious. Baguley will become the must-have resource for researchers who are serious about getting the most from their experiments. - Philip J. Benson, Senior Lecturer, School of Psychology, University of Aberdeen, UK A good resource for those wishing to build a fundamental understanding of probability and statistics and their applications to complex scientific data. - Adam Moore, The Center for Advanced Brain Imaging, Georgia Institute of Technology, USA A nice and almost encyclopaedic companion for behavioural scientists, which covers not only the usual topics of ANOVA and regression, but also such important themes like effect size and power, resampling methods, Bayesian inference, discrete outcomes, and multilevel models, with many useful references for further reading. - Gerard van Breukelen, Associate Professor of Statistics, Maastricht University, The Netherlands This book gives one of the most comprehensive, detailed and, importantly, readable accounts of statistical methods used in behavioural research. It provides superb coverage of the principles and assumptions of standard methods of analysis, as well as of the more complex and powerful techniques available in the statistical armoury, such as multilevel modelling. It is a book which every Experimental Psychologist will find helpful to have on their shelf. - Michael Pilling, Lecturer in Psychology, Oxford Brookes University, UK