SPSS Explained -

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Auteur(s) : Collectif

Editeur : Taylor & Francis Ltd

Langue : Anglais

Parution : 31/08/2023

Format : Moyen, de 350g à 1kg

Nombre de pages : 370

ISBN : 9780367366988

Résumé :

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.

Biographie:

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.

Sommaire:

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