Tom Pering

Exploring Data and Statistics in the Social Sciences (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Do you find mastering research and statistical methods in the vast field of social sciences daunting? This book serves as an accessible introduction, guiding you through the core concepts needed to navigate data with confidence. From designing a study to presenting results, this text goes back to basics and provides a modern approach to understanding statistics.

This first edition also offers:

• Comprehensive Coverage: Explores essential statistical methods relevant to social sciences, from descriptive statistics to spatial and temporal pattern analysis.
• An Accessible Writing Style: Engages students with a science communication approach, simplifying complex concepts.
• Visual Learning: Utilises figures and graphics to enhance understanding, making data presentation a key focus.
• Global Relevance: Includes examples with broad global applicability.

With an array of online resources, this book is a must-have resource for building foundational skills in research and statistics as a beginner social scientist.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 312
• Erscheinungstermin: 29. November 2025
• Englisch
• ISBN-13: 9781036202361
• Artikelnr.: 74993649

Autorenporträt

Tom Pering is a Lecturer in the Department of Geography at the University of Sheffield.

Inhaltsangabe

Chapter 1: Why you should love numbers as a social scientist
Chapter 2: The Foundations of Data Handling and Statistics
Chapter 3: How we conduct research
Chapter 4: Handling everyday numbers
Chapter 5: Data presentation - how to choose and use the correct graph
Chapter 6: Describing your data and how it varies
Chapter 7: Understanding sampling and what statistical significance really
means
Chapter 8: How normal is your data?
Chapter 9: When is a difference between variables real?
Chapter 10: Real or spurious - the reality of association and correlation
Chapter 11: Relationships between two or more variables
Chapter 12: Exploring patterns between categorical variables
Chapter 13: Exploring patterns in space
Chapter 14: Exploring patterns in time
Chapter 15: Outro