Hugh Coolican (UK Coventry University)

Research Methods and Statistics in Psychology

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Taylor & Francis Ltd
• 7 ed
• Seitenzahl: 826
• Erscheinungstermin: 29. November 2018
• Englisch
• Abmessung: 240mm x 184mm x 40mm
• Gewicht: 1766g
• ISBN-13: 9781138708969
• ISBN-10: 1138708968
• Artikelnr.: 53504517

Autorenporträt

Hugh Coolican is a recently retired Principal Lecturer in Psychology at Coventry University, now holding the position of Honorary Teaching Fellow. He is also a Chartered Psychologist and an examiner and scrutineer for the International Baccalaureate.

Inhaltsangabe

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