Christian Ryan

Data Science with R for Psychologists and Healthcare Professionals (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book demonstrates the application of some of these latest approaches to the world of psychological research. Providing a thorough grounding in the use of R for data science, with many carefully crafted analyses, using open datasets.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 312
• Erscheinungstermin: 22. Dezember 2021
• Englisch
• ISBN-13: 9781000530582
• Artikelnr.: 62843058

Autorenporträt

Christian Ryan is Senior Lecturer in clinical psychology in the School of Applied Psychology, University College Cork (UCC). He maintains his clinical practice as a chartered clinical psychologist, working primarily with children and adults with autism spectrum disorder (ASD). He has published a range of peer-reviewed articles in the area of disabilities, adult mental health and psychometrics. The current focus of his research is on the interaction between alexithymia and autism, with a view to improving emotion recognition and regulation interventions.

Christian is the placement coordinator for the doctoral programme in clinical psychology at UCC, and is involved in all aspects of the course, including selection, teaching, research supervision, curriculum development and placement evaluation. He is also the Academic Director of the ASD Studies courses at UCC. He joined the university in 2017 after many years working in front-line services, both as a psychologist and psychology manager.

Christian served as an elected Council Member of the Psychological Society of Ireland (2014-2017); he is a full member of the Division of Clinical Psychology and a former member of Heads of Psychology Services Ireland (HPSI).

Inhaltsangabe

1. Introduction 2. The R Environment 3. The Basics 4. Working Practices 5. Dataset Excel 6. Dataset csv 7. Dataset SPSS 8. Coding New Variables and Scale Reliability 9. Normality 10. Outliers 11. Descriptive Statistics 12. Graphs with ggplot2 13. Correlation
Bivariate 14. Correlation
Partial 15. One
Way ANOVA
Model Data 16. One
Way ANOVA
Real Data 17. Factorial ANOVA 18. ANCOVA 19. Repeated Measures ANOVA 20. Regression 21. Non
parametric Tests 22. Categorical Data Analysis 23. What Else can R Do? 24. Functions