Quantitative Social Science Data with R (notice n° 46186)
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fixed length control field | 02195cam a2200277zu 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | FRCYB88896883 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250107165331.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250107s2018 fr | o|||||0|0|||eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781526459732 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | FRCYB88896883 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | FR-PaCSA |
Language of cataloging | en |
Transcribing agency | |
Description conventions | rda |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Fogarty, Brian J |
245 01 - TITLE STATEMENT | |
Title | Quantitative Social Science Data with R |
Remainder of title | An Introduction |
Statement of responsibility, etc. | ['Fogarty, Brian J'] |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Name of producer, publisher, distributor, manufacturer | SAGE Publications |
Date of production, publication, distribution, manufacture, or copyright notice | 2018 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | p. |
336 ## - CONTENT TYPE | |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type code | c |
Source | rdamdedia |
338 ## - CARRIER TYPE | |
Carrier type code | c |
Source | rdacarrier |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Fogarty, Brian J |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Access method | Cyberlibris |
Uniform Resource Identifier | <a href="https://international.scholarvox.com/netsen/book/88896883">https://international.scholarvox.com/netsen/book/88896883</a> |
Electronic format type | text/html |
Host name |
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