Perry R. Hinton, Isabella McMurray, Charlotte Brownlow, Peter C. Terry

SPSS Explained (eBook, ePUB)

• Format: ePub

Produktbeschreibung

SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy-to-follow screenshots at each stage of the process.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 386
• Erscheinungstermin: 12. September 2023
• Englisch
• ISBN-13: 9781000921090
• Artikelnr.: 68506907

Autorenporträt

Perry R. Hinton is a cultural psychologist and a professor of applied linguistics at the University of Warwick, UK. He has taught in the areas of cognitive, social, and cultural psychology, to a wide range of students in psychology, linguistics, communication and media, education, philosophy, nursing, and social work. He is the author of Statistics Explained, also published by Routledge.

Isabella McMurray is a Principal lecturer in psychology at the University of Bedfordshire, UK. She has taught in a range of areas, primarily within psychology, including developmental psychology, and qualitative and quantitative research methods and analysis. She undertakes consultancy, training, and research with local authorities and charities, including working with social workers, probation services, education services, and road safety teams.

Charlotte Brownlow is a professor of psychology at the University of Southern Queensland, Australia. She has taught in a range of areas, primarily within psychology, including developmental and social psychology and qualitative and quantitative research methods.

Peter C. Terry is Dean of the Graduate Research School and a professor of psychology at the University of Southern Queensland, Australia. He has taught mainly in the areas of sport and exercise psychology, psychometrics, and statistics. He has provided psychological support at nine Olympic Games and more than 100 other international events.

Inhaltsangabe

1. Introduction
2. Data entry
3. Descriptive statistics
4. Illustrative statistics
5. Introduction to statistical testing
6. t tests
7. Introduction to analysis of variance (general linear model)
8. One-factor analysis of variance
9. Two-factor analysis of variance
10. Introduction to multivariate analysis of variance
11. Nonparametric two sample tests
12. Nonparametric k sample tests
13. Chi-square test of independence and goodness of fit test
14. Linear correlation and regression
15. Multiple regression and multiple correlation
16. Moderation and mediation
17. Introduction to factor analysis
18. Using SPSS to analyse questionnaires: reliability
18. Using SPSS to analyse questionnaires: reliability