Local cover image
Local cover image
Amazon cover image
Image from Amazon.com

Research methods and statistics in psychology / Hugh Coolican

By: Coolican, HughMaterial type: TextTextPublication 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Status Date due Barcode Item holds
English Lending English Lending Villa College Hithadhoo Campus
Villa College Library
150.72 COO (Browse shelf(Opens below)) Available 17437
English Lending English Lending Villa College Library
Villa College Library
150.72 COO (Browse shelf(Opens below)) Available 17438
English Lending English Lending Villa College Library
Villa College Library
150.72 COO (Browse shelf(Opens below)) Checked out 04/27/2026 17388
English Lending English Lending Villa College Library
Villa College Library
150.72 COO (Browse shelf(Opens below)) Available 17389
Total holds: 0

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

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image