Quantitative social science data with R : an introduction
著者
書誌事項
Quantitative social science data with R : an introduction
SAGE, 2019
- : pbk
大学図書館所蔵 全7件
注記
Includes bibliographical references (p. [306]-307) and index
内容説明・目次
内容説明
"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on 'real world' examples which help students to understand why they are learning these methods."
- Dr Roxanne Connelly, University of York
Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs.
Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to:
- Understand and use quantitative data to answer questions
- Approach surrounding ethical issues
- Collect quantitative data
- Manage, write about, and share the data effectively
Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
目次
Chapter 1: Introduction
Chapter 2: Introduction to R and R Studio
Chapter 3: Finding Data
Chapter 4: Data Management
Chapter 5: Variables & Manipulation
Chapter 6: Developing Hypotheses
Chapter 7: Univariate & Descriptive Statistics
Chapter 8: Visualising Data
Chapter 9: Hypothesis Testing
Chapter 10: Bivariate Analysis
Chapter 11: Linear Regression & Model Building
Chapter 12: OLS Assumptions & Diagnostic Testing
Chapter 13: Putting it all Together
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