Description

Book Synopsis
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
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

Statistics for Psychology: A Beginner′s Guide

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback / softback by Roger Watt, Elizabeth Collins

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      View other formats and editions of Statistics for Psychology: A Beginner′s Guide by Roger Watt

      Publisher: Sage Publications Ltd
      Publication Date: 01/02/2023
      ISBN13: 9781529777925, 978-1529777925
      ISBN10: 1529777925

      Description

      Book Synopsis
      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
      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

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