Quantitative Social Science Data with R : An Introduction Brian J

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Former library book; may include library markings. Used book that is in clean, average condition ...
Features
EX-LIBRARY
Book Title
Quantitative Social Science Data with R : An Introduction Brian J
ISBN
9781526411501
Subject Area
Computers, Social Science
Publication Name
Quantitative Social Science Data with R : an Introduction
Publisher
SAGE Publications, The Limited
Item Length
9.7 in
Subject
Programming Languages / General, Research
Publication Year
2019
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.5 in
Author
Brian J. Fogarty
Item Weight
26 Oz
Item Width
7.5 in
Number of Pages
328 Pages
Category

About this product

Product Identifiers

Publisher
SAGE Publications, The Limited
ISBN-10
1526411504
ISBN-13
9781526411501
eBay Product ID (ePID)
25038613576

Product Key Features

Number of Pages
328 Pages
Language
English
Publication Name
Quantitative Social Science Data with R : an Introduction
Publication Year
2019
Subject
Programming Languages / General, Research
Type
Textbook
Subject Area
Computers, Social Science
Author
Brian J. Fogarty
Format
Trade Paperback

Dimensions

Item Height
0.5 in
Item Weight
26 Oz
Item Length
9.7 in
Item Width
7.5 in

Additional Product Features

Intended Audience
College Audience
Reviews
The chapters are well organised and guide the student through the background using worked examples - this is vital to gain the necessary proficiency in the R interface. I would recommend this book to anyone wanting to develop not only software competence, but a wider appreciation of the background to data analysis techniques in the social sciences., As Fogarty notes, there is little need for another statistics book. What there is a need for is a comprehensive text that provides the necessary tools for quantitative research in the social sciences, which is what this book does. Students need books that will guide them through finding, cleaning, analyzing, and presenting data using statistical programs like R, making this book an important text for any higher-level data analysis, statistics or research course in the social sciences., This landmark book provides an engaging multidisciplinary introduction to quantitative social sciences using R, increasingly the preferred programme for statistical analysis across disciplines. Fogarty's book is a perfect companion for the novice and it is likely to become the standard reference in quantitative methods teaching across the social sciences., Are you new to stats? Do you also need help writing your first lines of R code? Then this book is your guide. Fogartys Quantitative Social Science Data with Ris a great start for all those who want to get their head around how to implement a quantitative research project., A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogartys book gives you a toolbox for starting statistical analysis and developing your skills.
Dewey Edition
23
Dewey Decimal
001.4202855133
Table Of Content
Chapter 1: IntroductionChapter 2: Introduction to R and R StudioChapter 3: Finding DataChapter 4: Data ManagementChapter 5: Variables & ManipulationChapter 6: Developing HypothesesChapter 7: Univariate & Descriptive StatisticsChapter 8: Visualising DataChapter 9: Hypothesis TestingChapter 10: Bivariate AnalysisChapter 11: Linear Regression & Model BuildingChapter 12: OLS Assumptions & Diagnostic TestingChapter 13: Putting it all Together
Synopsis
"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., 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., "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. Brian J. Fogarty is a Lecturer in Quantitative Social Science on the Glasgow Q-Step Programme in the School of Social and Political Sciences at the University of Glasgow.
LC Classification Number
QA76.9.Q36

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