Hugh Coolican
Research Methods and Statistics in Psychology
Hugh Coolican
Research Methods and Statistics in Psychology
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This bestselling text provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today.
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This bestselling text provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 852
- Erscheinungstermin: 30. Januar 2024
- Englisch
- Abmessung: 261mm x 182mm x 46mm
- Gewicht: 1908g
- ISBN-13: 9781032105659
- ISBN-10: 1032105658
- Artikelnr.: 69030361
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 852
- Erscheinungstermin: 30. Januar 2024
- Englisch
- Abmessung: 261mm x 182mm x 46mm
- Gewicht: 1908g
- ISBN-13: 9781032105659
- ISBN-10: 1032105658
- Artikelnr.: 69030361
Hugh Coolican is a retired principal lecturer formerly teaching and researching at Coventry University. He now holds the position of Honorary Teaching Fellow. He is a chartered psychologist and an examiner and scrutineer for the International Baccalaureate.
Preface
Acknowledgements
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
Appendix
References
Index
Acknowledgements
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
Appendix
References
Index
Preface
Acknowledgements
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
Appendix
References
Index
Acknowledgements
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
Appendix
References
Index