Further Reading
This is a collection of books and articles that we have found useful for background reading in the areas of basic statistical principles, experimental design, analysis, and functional neuroimaging.
The items in the Statistics group are listed in their approximate order of complexity. If you are somewhat removed from statistics coursework, the books by Howell and Cohen are extremely readable and practical introductions to the basic statistical principles underlying data analysis in experimental applications.
The items in the Experimental Design and Analysis section provide more advanced treatments of the application of multiple regression and analysis of variance to experimental designs of the type commonly encountered in functional neuroimaging experiments.
The items in the SPM list cover the theoretical background and implementation details of SPM in its various incarnations.
The Imaging books provide some background to structural and functional imaging.
R is a statistical computing language that is growing rapidly in both scope and popularity. Like SPM, it is distributed with an open-source license and comes with extensive documentation. Having reached the limits of statistical modeling complexity possible with SPM, you may find R to be an attractive and complementary working environment.
Statistics
Fundamental Statistics for the Behavioral Sciences
Howell (2007)
Statistical Methods for Psychology
Howell (2009)
Explaining Psychological Statistics
Cohen (2008)
Statistics (Fifth Edition)
Hays (1994)
Draper and Smith (1998)
Multiple Regession: Testing and Interpreting Interactions
Aiken and West (1991)
Introducing ANOVA and ANCOVA: a GLM Approach
Rutherford (2001)
Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach
Rosenthal, Rosnow and Rubin (2000)
Linear Mixed Models: A Practical Guide Using Statistical Software
West, Welch and Galecki (2007)
Statistics as Principled Argument
Abelson (1995)
van Belle (2008)
Statistical Significance: Rationale, Validity and Utility
Chow (1997)
The Cult of Statistical Significance
Ziliak and McCloskey (2008)
Electronic Statistics Textbook (2006)
Statistics Notes from the British Medical Journal
Statistics Guide for Research Grant Applicants
Bland et al. (2009)
Experimental Design and Analysis
Fisher (1935)
Design and Analysis: A Researcher's Handbook
Keppel and Wickens (2004)
Data Analysis for Research Designs
Keppel and Zedeck (1989)
Designing Experiments and Analyzing Data (Second Edition)
Maxwell and Delaney (2004)
Testing Research Hypotheses with the General Linear Model
McNeil, Newman and Kelly (1996)
Statistical Principles in Experimental Design
Winer, Brown and Michels (1991)
Research Design and Statistical Analysis
Myers and Well (2002)
Experimental Design: Procedures for the Behavioral Sciences
Kirk (1995)
SPM
Statistical Parametric Mapping: the Analysis of Functional Brain Images
Friston et al. (2006)
Human Brain Function 2nd Edition
Imaging
Horowitz (1995)
Functional Magnetic Resonance Imaging
Huettel, Song and McCarthy (2009)
R
Using R for Introductory Statistics
Verzani (2005)
SimpleR: Using R for Introductory Statistics
Verzani (2002)
Discovering Statistics Using R
Field, Miles and Field (2012)
Crawley (2007)
Data Analysis and Graphics Using R (Second Edition)
Maindonald and Braun (2007)
Practical Regression and ANOVA Using R
Faraway (2002)
Using R for psychological research
Notes on the use of R for psychology experiments