Research methods and statistics in psychology / Hugh Coolican

By: Coolican, HughMaterial type: Text

TextPublication details: London : Routledge, c2024. Edition: 8th edDescription: ix, 851p. : col. ill. ; 26 cmISBN: 9781032105659 ; 9781032105666 ; 9781003215967Subject(s): Problems and exercises | Psychology Methodology | Psychology ResearchDDC classification: 150.72 COO

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Item type	Current library	Home library	Call number	Status	Date due	Barcode
English Lending	Villa College Hithadhoo Campus	Villa College Library	150.72 COO (Browse shelf(Opens below))	Available		17437
English Lending	Villa College Library	Villa College Library	150.72 COO (Browse shelf(Opens below))	Available		17438
English Lending	Villa College Library	Villa College Library	150.72 COO (Browse shelf(Opens below))	Checked out	04/27/2026	17388
English Lending	Villa College Library	Villa College Library	150.72 COO (Browse shelf(Opens below))	Available		17389

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Previous	150.3 HAY A student's dictionary of psychology /	150.7 LAS Theory of people : understanding behaviors, business, economics, feelings and the mind /	150.7 PSY Psychological studies : vol.41, No.1 &2	150.72 COO Research methods and statistics in psychology /	150.72 COO Research methods and statistics in psychology /	150.72 COO Research methods and statistics in psychology /	150.72 COO Research methods and statistics in psychology /	Next

Contents

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 reports
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
20. Regression methods
21. Factor analysis
22. Multi-level analysis – differences between more than two conditions (ANOVA)
23. Multi-factorial ANOVA designs
24. ANOVA for repeated measures designs
25. Choosing a significance test for your data
26. Planning your practical and writing up your report

Includes references and index

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