Part 1 Research Methods and Ethics
Chapter 1 Psychology, science and research
Chapter 2 Measuring people variables, samples and the qualitative critique
Chapter 3 Experiments and experimental designs in psychology
Chapter 4 Validity in psychological research
Chapter 5 Quasi-experiments and non-experiments
Chapter 6 Observational methods watching and being with people
Chapter 7 Interview methods asking people direct questions
Chapter 8 Psychological tests and measurement scales
Chapter 9 Comparison studies cross-sectional, longitudinal and cross-cultural studies
Chapter 10 Qualitative approaches in psychology
Chapter 11 Ethical issues in psychological research
Part 2 Analysing data and writing reports
Chapter 12 Analysing qualitative data
Chapter 13 Statistics organising the data
Chapter 14 Graphical representation of data
Chapter 15 Frequencies and distributions
Chapter 16 Significance testing was it a real effect?
Chapter 17 Testing for differences between two samples
Chapter 18 Tests for categorical variables and frequency tables
Chapter 19 Correlation
Chapter 20 Regression and multiple regression
Chapter 21 Factor analysis
Chapter 22 Multi-level analysis differences between more than two conditions (ANOVA)
Chapter 23 Multi-factorial ANOVA designs
Chapter 24 ANOVA for repeated measures designs
Chapter 25 Choosing a significance test for your data
Chapter 26 Planning your practical and writing up your report
The seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports.
The book provides clear coverage of experimental, interviewing and observational methods, psychological testing, qualitative methods and analysis and statistical procedures which include nominal level tests, multi-factorial ANOVA designs, multiple regression, log linear analysis, and factor analysis. It features detailed and illustrated SPSS instructions for all these and other procedures, eliminating the need for an extra SPSS textbook.
