Statistics for Psychology - A Beginner's Guide
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10,99 €
| Verlag | Sage Publications |
| Auflage | 2023 |
| Seiten | 392 |
| Format | 18,6 x 2,3 x 23,2 cm |
| Gewicht | 1020 g |
| Artikeltyp | Englisches Buch |
| EAN | 9781529777925 |
| Bestell-Nr | 52977792UA |
A student-friendly, highly visual guide to really understanding the big picture and principles behind the many different statistical practices in Psychology.
Klappentext:
Statistics for Psychology is an interactive, highly visual, and accessible guide to the statistical practices you will encounter as a psychology student. Its software-agnostic approach keeps the focus on the core principles, rather than getting bogged down in complicated formulae and jargon. This book is based on the authors' BPS commended programme. It focusses on providing the strong foundational understanding you ll need to use statistics confidently and creatively rather than the software-specific way in which statistics is often taught.
This edition includes:
new content throughout on being a responsible researcher, a new chapter to support you in presenting your research to a critical audience, carefully designed graphics to explain statistical principles, your turn exercises to test your understanding of each chapter.
This book is the ideal guide for students approaching statistics and research methods in psychology for the first time.
< br>Roger Watt is Emeritus Professor of Psychology at the University of Stirling.
Elizabeth Collins is a researcher with a PhD in Psychology.
Inhaltsverzeichnis:
Chapter 1: Why Do We Need Statistics?
Chapter 2: The Research Cycle
Chapter 3: Variables
Chapter 4: Relationships between Variables
Intermezzo 1: Correlation
Chapter 5: Uncertainty
Chapter 6: Null Hypothesis Testing
Chapter 7: Statistical Tests for One Independent Variable
Intermezzo 2: Alternatives to NHST: Bayes and Likelihood
Chapter 8: Minimising Uncertainty: Research Design
Chapter 9: Measurements and Uncertainty
Chapter 10: Sampling and Uncertainty
Intermezzo 3: Uncertain Power Analysis
Chapter 11: Hypotheses with More than One Independent Variable
Chapter 12: Covariations: Relationships between Two Independent Variables
Chapter 13: Analysing Data with Two or More Independent Variables
Chapter 14: Which Model is Best?
Intermezzo 4: Combining Multiple Studies: Replication and Meta-Analysis
Chapter 15: Contributing to Knowledge