Supplements to the 7th edition
This page lists supplemental material that is available for Statistical Methods for Psychology, 7^{th} edition. The material is organized by chapter, but there is some material that does not fit neatly into a specific chapter. So hunt around. This page is currently under construction, so many links have not yet been added.
 Chapter One — Basic Concepts
 Chapter Two — Describing and Exploring Data
 KernelDensity
A short description of how to calculate kernel density plots in R and SPSS.
 Chapter Three — The Normal Distribution
 Chapter Four — Sampling Distributions and Hypothesis Testing
 Chapter Five — Basic Concepts of Probability
 Chapter Six — Categorical Data and ChiSquare
 Alternative Research Designs
This is a short entry that I wrote for the International Handbook of Statistical Sciences (in press), edited by Miodrag Lovric. It discusses the fact that we can construct contingency tables from a variety of different research designs, and these tables can be treated differently.
 Ordinal Categorical Variables
The standard chisquare test on a contingency tables is not affected by the order of the categorical variable. But when the categorical variable you are using is ordinal, you can obtain significantly greater power for your test by taking that ordering into account.
 Testing Change Over Two Measurements in Two Independent Groups
This entry addresses a question about two independent proportions of change. In other words, if Group A improved by 30% and Group B improved by 35%, is that difference significant. It started out as a simple question but soon became more interesting. I admit that I got a bit carried away.
 Chapter Seven — Hypothesis Tests Applied to Means
 Pitman Test
 Confidence Intervals on Effect Size
This entry should perhaps fit better under Chapter 18 because it deals with randomization tests. However it focuses on one and twosample tests, which is why it is here. It relates to a program written by Gerard E. Dallal, though I don't know recall how I came across it. I have modified the document slightly to provide a link to the test itself.
 Chapter Eight — Power
 Chapter Nine — Correlation and Regression
 Chapter Ten — Alternative Correlational Techniques
 Chapter Eleven — Simple Analysis of Variance
 Chapter Twelve — Multiple Comparisons Among Treatment Means
 Chapter Thirteen — Factorial Analysis of Variance
 Unequal cell sizes
Unequal cell sizes can often make a significant difference in a factorial analysis of variance. There are alternative ways of treating unequal ns (see Type I II III.pdf), but the standard default, while generally appropriate, can sometimes give you misleading results.

 SAS for Random Effects and Nested Designs
In Section 13.8 of Chapter 13 I discuss how to deal with random effects and how to deal with nested designs. The two often go together. I have compiled SAS code for those analyses, and have presented the printout. The printout can be found at SAS for Alternative Designs and contains the links to the code and the raw data. You should know that there are other ways to write some of this code, but this will give you what you need. I would like to thank Karl Wuentsch for his suggestions and for pointing out that the code that I give in the text, while it will work, is not optimal.

 Chapter Fourteen — RepeatedMeasures Designs
 Chapter Fifteen — Multiple Regression

Chapter Sixteen — Analyses of Variance and Covariance as General Linear Models
Chapter Seventeen — LogLinear Analysis
Chapter Eighteen — Resampling and Nonparametric Approaches to Data
Miscellaneous
Last revised: 1/11/2010