Data Analysis for the Social Sciences

Integrating Theory and Practice

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
Cover of the book Data Analysis for the Social Sciences by Professor Douglas Bors, SAGE Publications
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Author: Professor Douglas Bors ISBN: 9781526422309
Publisher: SAGE Publications Publication: January 8, 2018
Imprint: SAGE Publications Ltd Language: English
Author: Professor Douglas Bors
ISBN: 9781526422309
Publisher: SAGE Publications
Publication: January 8, 2018
Imprint: SAGE Publications Ltd
Language: English

'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, *Psychology, Swansea University *

'This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.' —Barbra Teater, Social Work, College of Staten Island, City University of New York

Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. 

With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling through to t-tests, multiple regression and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types and results reliability.

It shows you how to:

  • Describe data with graphs, tables, and numbers
  • Calculate probability and value distributions
  • Test a priori and post hoc hypotheses
  • Conduct Chi-squared tests and observational studies
  • Structure ANOVA, ANCOVA, and factorial designs

Supported by lots of visuals and a website with interactive demonstrations, author video, and practice datasets, this book is *the *student-focused companion to support students through their statistics journeys.  

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, *Psychology, Swansea University *

'This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.' —Barbra Teater, Social Work, College of Staten Island, City University of New York

Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. 

With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling through to t-tests, multiple regression and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types and results reliability.

It shows you how to:

Supported by lots of visuals and a website with interactive demonstrations, author video, and practice datasets, this book is *the *student-focused companion to support students through their statistics journeys.  

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