Statistics for Psychology

A Beginner?s Guide

Roger Watt, Elizabeth Collins

• Publisher: SAGE Publications Ltd
• Year: 2023
• Print ISBN: 9781529777932
• eBook ISBN: 9781529612011
• Edition: 2
• Topic: Psychology
• Subtopic: Applied Psychology
• Index: Psychology

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. Roger Watt is Emeritus Professor of Psychology at the University of Stirling.
Elizabeth Collins is a researcher with a PhD in Psychology.

Table of contents

• Cover
• Half Title
• Publisher Note
• Title Page
• Copyright Page
• Acknowledgements
• Contents (Brief)
• Contents (Full)
• Acknowledgements
• Acknowledgements
• About the Authors
• Acknowledgements
• Online resources
• How To Use This Book
• Starting with Four Big Pictures
• Chapter 1 Why Do We Need Statistics? Being a Risk-Taker Might Make You More Intelligent
• Chapter 2 The Research Cycle The Big Picture in a (Fairly) Small Chapter
• Chapter 3 Variables You Might Want to Blend in but Being Different is More Interesting
• Chapter 4 Relationships between Variables Relationships: Because Variables are Stronger Together
• Intermezzo 1 Correlation
• Chapter 5 Uncertainty After All That Work, You Might Be Wrong Anyway
• Chapter 6 Null Hypothesis Testing Because Uncertainty Makes (Some) Psychologists Uncomfortable
• Chapter 7 Statistical Tests for One Independent Variable Anyone Who Tells You this Bit is Difficult is Lying to You
• Intermezzo 2 Alternatives to NHST: Bayes and Likelihood
• Chapter 8 Minimising Uncertainty: Research Design Research Design: I Did it My Way (and Here’s Why)
• Chapter 9 Measurements and Uncertainty Or Why Dog-lover versus Cat-lover isn’t the Best Way to Measure People
• Chapter 10 Sampling and Uncertainty Keep Your Friends Close, and Your Outliers Closer
• Intermezzo 3 Uncertain Power Analysis
• Chapter 11 Hypotheses with More than One Independent VariAble It’s More than Just Cake that Makes Waistlines Expand
• Chapter 12 Covariations: Relationships between Two Independent Variables Turns Out It’s Not Cake’s Fault after All: Blame Another Variable
• Chapter 13 Analysing Data with Two or More Independent Variables General Linear Model versus ANOVA: Who Will Win?
• Chapter 14 Which Model is Best? My General Linear Model is Better Than Yours
• Intermezzo 4 Combining Multiple Studies: Replication and Meta-Analysis
• Chapter 15 Contributing to Knowledge Tell Everyone What You Have Done!
• References
• Index