Research Methods and Statistics in Psychology

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This fifth edition of Research Methods and Statistics in Psychology has been revised and updated, providing you with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. The book assumes no prior knowledge taking you through every stage of your research project in manageable steps. Advice on planning and conducting studies, analyzing data and writing up practical reports is given, and examples provided, as well as advice on how to report results in conventional (APA) style. Unlike other introductory texts there is discussion of commonly misunderstood concepts such as ecological validity, the null hypothesis and the role of cross-cultural psychology studies. Qualitative research is included in the central research methods chapters as well as being highlighted in specialist chapters which cover content analysis, and how to tackle a qualitative research project. The book provides clear coverage of statistical procedures, and includes everything needed at undergraduate level from nominal level tests to multi-factorial ANOVA design, multiple regression and log linear analysis. In addition, the book gives detailed and illustrated SPSS instructions (updated to version 16) for all statistical procedures, including data entry and interpreting output, thus eliminating the need for an extra SPSS textbook. Each chapter contains a glossary, key terms newly integrated exercises, ensuring that key concepts are understood. A companion website (www.Hodderplus.com/psychology) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS. The bestselling research methods text for almost two decades, Research Methods and Statistics in Psychology remains an invaluable resource for students of psychology throughout their studies.

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Hugh Coolican is a Senior Lecturer in Psychology at Coventry University, a Chartered Psychologist and external examiner at The Open University and Staffordshire University. Table of Contents Psychology, science and research Measuring people-variables, samples and the qualitative critique Experiments and experimental designs in psychology Validity in psychological research Quasi-experiments and non-experiments Observational methods-watching and being with people Interview methods-asking people direct questions Psychological tests and measurement scales Comparison studies-cross-sectional, longitudinal and cross-cultural studies Qualitative approaches in psychology Statistics-organising the data Graphical representation of data Frequencies and distributions Significance testing-was it a real effect? Testing for differences between two samples Tests for categorical variables and frequency tables Correlation Multi-level analysis-differences between more than two conditions Multi-factorial designs ANOVA for repeated measures designs Choosing a significance test for your data (and internet resources) Analyzing qualitative data Ethical issues in psychological research Planning your practical and writing up your report