Quantitative social science data with R : an introduction / Brian J. Fogarty.

Format:

Book

Author/Creator:

Fogarty, Brian J., author.

Series:

Core textbook.

Core textbook

Language:

English

Subjects (All):

Research methods and evaluation.

Quantitative/statistical research.

Statistical computing environments.

Physical Description:

1 online resource (394 pages)

Edition:

Second edition.

Place of Publication:

London : SAGE Publications Ltd, 2023.

Summary:

Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how 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 students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-03-623362-6

1-5296-1424-4

1-5296-1423-6

9781036233624

OCLC:

1378539736

Publisher Number:

T278486