Quantitative social science data with R : an introduction / Brian J. Fogarty.
Material type:
TextPublisher: Los Angeles : SAGE, [2023]Copyright date: ©2023Edition: 2nd editionDescription: x, 390 pages : illustrations (some color) ; 25 cmContent type: - text
- still image
- unmediated
- volume
- 9781529790467
- 1529790468
- 9781529790450
- 152979045X
- 001.4202855133 23
- H61.3 .F64 2023
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Books | Balanga Library General Circulation | Reference | 363.7 F655q 2023 (Browse shelf(Opens below)) | Available | 3BPSU00106547Y |
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Includes bibliographical references (pages 379-381) and index.
"This practical, step-by-step introduction to quantitative social science using R will provide you with a foundation of understanding, ready to build upon as you advance throughout statistics. Brian Fogarty answers your research question using real world data, complete with explanations and discussion to provide give wider context. With features such as case studies, data sets, R exercises and videos, it explores the full integration of digital tools and methods within social science. Alongside these, the text is accompanied by online material such as tutorials, additional readings and PowerPoint slides to help put what you've just learnt into practice. Overall, this book will help you: Apply digital tools to your research using R Gain practical skills around data management and statistics Understand how quantitative data can be applied to the real world Brian Fogarty is the Director at the Center for Social Science Research for University of Notre Dame"-- Provided by publisher.
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