Data Analysis for Psychology - Softcover

Data analysis is an essential psychological aid to understanding human behaviour in terms of its causes. By observing and measuring certain behavioural patterns, psychologists can obtain data necessary to support - or refute - a given hypothesis. It is the business of data analysis to cut through the jungle of numbers to the underlying psychological structure.
'Data Analysis for Psychology' provides a clear and straightforward explanation of the most important data analysis techniques for psychologists. Using concrete examples to illustrate the analysis of data, concepts are explored in plain language and without unnecessary technical detail. At the heart of the book is the idea of a statistical model and the process of accounting for structure, or pattern, in data. Explaining familiar techniques like analysis of variance, the book goes further to examine exploratory data analysis, log-linear analysis, analysis of co-variance and other advanced methods. With the emphasis throughout on clarity, the text is written for undergraduate psychology students undertaking independent research.

Designed specifically for psychology undergraduates, this book is an introduction to data analysis. It does not go into great mathematical or statistical detail, instead the emphasis is on clarity and ideas are conveyed verbally rather than via algebra. The material included however, is sophisticated enough to allow students to undertake research at any stage of their degree, presenting it in the context of practical activities and issues in psychological research.