000			02195cam a2200277zu 4500
001			88896883
003			FRCYB88896883
005			20250107165331.0
006			m o d
007			cr un
008			250107s2018 fr | o|||||0|0|||eng d
020			_a9781526459732
035			_aFRCYB88896883
040			_aFR-PaCSA _ben _c _erda
100	1		_aFogarty, Brian J
245	0	1	_aQuantitative Social Science Data with R _bAn Introduction _c['Fogarty, Brian J']
264		1	_bSAGE Publications _c2018
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aFogarty, Brian J
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88896883 _qtext/html _a
520			_a"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.
999			_c46186 _d46186