The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient.Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.
This is actually a nice little book, considering I found it on a library giveaway shelf. Markings and labels indicate that it was once part of the Eastman Kodak research library. Anyway, I happen to be working on some research and don’t have a particularly strong background in statistics, so I figured it couldn’t hurt to read this, even though this edition was published in 1984. It’s clear and well-written, and from what I can see the basic concepts haven’t changed much over the years; in particular the types of statistical tests in common usage and the requirements and expectation when using them. What has changed, of course, is that the algebra described here is unnecessary since the statistical calculations can simply be done in Excel. And of course much more info about when to use which tests can generally be found online. But the quality and reliability of that info varies, while this particular source is solid. Glad to have read it, even if I only end up using it as food for thought in the larger set of available resources.
Useful for students of psychology. I used it for projects or clarifying my doubts on different steps of a study. Probably one of the books I don't regret buying for university.