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Statistics for Social Data Analysis

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Real-world data analysis for social sciences.

Statistics for Social Data Analysis is an excellent choice for anyone in the social sciences field looking to apply statistical methods to real-world research questions. This book emphasizes the importance of formulating substantive hypotheses and provides a hands-on approach with actual datasets. One unique feature of this book is its focus on analyzing continuous and discrete variables separately and in combination, rather than relying on conventional levels-of-measurement distinctions. Overall, this book would be an invaluable resource for anyone looking to strengthen their data analysis skills in social sciences research.

Sale

Statistics for Social Data Analysis

Regular price RM156.81 MYR RM61.77 MYR 61% off
Unit price
per
ISBN: 9780875814483
Date of Publication: 2002-01-01
Format: Hardcover
Related Collections: Science, Sociology, Education
Goodreads rating: 3.07
(rated by 14 readers)

Description

The fourth edition of STATISTICS FOR SOCIAL DATA ANALYSIS continues to show students how to apply statistical methods to answer research questions in various fields. Throughout the text, the authors underscore the importance of formulating substantive hypotheses before attempting to analyze quantitative data. An important aspect of this text is its realistic, hands-on approach. Actual datasets are used in most examples, helping students understand and appreciate what goes into the research process. The book focuses on the continuous-discrete distinction in considering the level at which a variable is measured. Rather than dwelling on the four conventional levels-of-measurement distinctions, the authors discuss statistics for analyzing continuous and discrete variables separately and in combination.
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Real-world data analysis for social sciences.

Statistics for Social Data Analysis is an excellent choice for anyone in the social sciences field looking to apply statistical methods to real-world research questions. This book emphasizes the importance of formulating substantive hypotheses and provides a hands-on approach with actual datasets. One unique feature of this book is its focus on analyzing continuous and discrete variables separately and in combination, rather than relying on conventional levels-of-measurement distinctions. Overall, this book would be an invaluable resource for anyone looking to strengthen their data analysis skills in social sciences research.