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Preface. PART 1 Research methods and ethics. 1. Psychology, science and research. 2. Measuring people - variables, samples and the qualitative critique. 3. Experiments and experimental designs in psychology. 4. Validity in psychological research. 5. Quasi-experiments and non-experiments. 6. Observational methods - watching and being with people. 7. Interview methods - asking people direct questions. 8. Psychological tests and measurement scales. 9. Comparison studies - cross-sectional, longitudinal and cross-cultural studies. 10. Qualitative approaches in psychology. 11 Ethical issues in psychological research. PART 2 Analysing data and writing up. 12. Analysing qualitative data. 13. Statistics - organising the data. 14. Graphical representation of data. 15. Frequencies and distributions. 16. Significance testing - was it a real effect? 17. Testing for differences between two samples. 18 Tests for categorical variables and frequency tables. 19. Correlation and regression. 20 Multi-level analysis - ANOVA for differences between more than two conditions. 21. Multi-factorial ANOVA designs. 22. ANOVA for repeated measures designs. 23. Choosing a significance test for your data (and internet resources). 24. Planning your practical and writing up your report. Appendix to Chapter 12. Appendix (Statistical tables).
Hugh Coolican is a Senior Lecturer in Psychology at the University of Coventry, a Chartered Psychologist and an examiner for the International Baccalaureate.
"The new edition of this book is well-written and covers a range of material in an informative yet easily accessible, reader-friendly manner. It is very impressive not only in its scope but also in the thoroughness with which its topics are covered. The book is an extremely useful and versatile text that essentially covers four topics 'for the price of one' and is essential reading for psychology students at all levels from first-year undergraduate to Master's."- Kevin Thomas, Bournemouth University, UK "I recommend this book as essential reading at undergraduate level: the breadth and depth of the coverage is excellent, and the explanations given, and examples used, are clear, accessible and accurate. The latest edition also includes 'tricky bits' at the end of each chapter - things that students repeatedly have problems with and which are also relevant to improving their marks." - David Tyfa, University of Huddersfield, UK "The book presents a significant number of practical and valid examples of the use of statistics in psychology. However, the author also presents the material using language that transcends to other fields as well. The emphasis on exploration of data as a precursor to the application of inferential statistical methods is extremely useful for students and researchers alike." - Adriana Espinosa, City College New York, USA