Description
Book SynopsisExperimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. * Makes abundant use of charts, diagrams and figures. * Assumes no prior knowledge of statistics.
Trade Review"This text helps to bring the research process alive and will clearly prove invaluable to all undergraduate students of psychology. The authors cleverly illustrate the progression in psychological research from hypothesis-formation to research design and finally to data analysis in a unique and informative manner."
Simon Dymond PhD., undergraduate research methods instructor, University of Wales, Swansea "This will serve best as a reference book to support undergraduate teaching and as a useful companion to have on hand on introductory level methods classes. It provides first and second year psychology students with a well-grounded grasp of the basics. A well-written and long awaited text that bridges the gap between experimental design and statistical analysis."
Psychology Reaching Review
"Lively, friendly, amusing and lucid, this is an excellent introduction to experimental design and statistics which provides the clear yet informative explanations that most readers prefer. I would certainly recommend it to my students."
Colin Gray, University of Aberdeen & co- author of 'SPSS 12 Made Simple'
"This text maintains a wonderful balance of conceptual and practical focus. After each statistical test, the authors demonstrate its use in a hypothetical research study...I would recommend that anyone who teaches or takes a course in survey sampling theory and methods obtain a copy of this book" David R. Bellhouse, The American Statistician, August 2007, Vol. 61, No. 3
Table of ContentsPreface
1 Scientific Psychology and the Research Process
2 The Nature of Psychology Experiments (I): Variables and Conditions
3 The Nature of Psychology Experiments (II): Validity
4 Describing Data
5 Making Inferences from Data
6 Selecting a Statistical Test
7 Tests of Significance for Nominal Data
8 Tests of Significance for Ordinal Data (and Interval/Ratio Data When Parametric Assumptions Are Not Met)
9 Tests of Significance for Interval Data
10 Correlational Studies
Appendix 1: Statistical Tables
Glossary
Recommended Books
Index
