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9781529628289 Academic Inspection Copy

Exploring Data and Statistics in the Social Sciences

  • ISBN-13: 9781529628289
  • Publisher: SAGE PUBLICATIONS
    Imprint: SAGE PUBLICATIONS LTD
  • By Tom Pering
  • Price: AUD $95.99
  • Stock: 0 in stock
  • Availability: This book is temporarily out of stock, order will be despatched as soon as fresh stock is received.
  • Local release date: 13/12/2025
  • Format: Paperback (242.00mm X 170.00mm) 312 pages Weight: 0g
  • Categories: Research methods: general [GPS]
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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, promoting a decolonized perspective. 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.
Tom Pering is a Lecturer in the Department of Geography at the University of Sheffield.
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
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