000 02205nam a22002657a 4500
003 OSt
005 20240511135403.0
008 240502t2023 |||||||| |||| 00| 0 eng d
022 _a9781529790450
050 _aSHS H 61.3 F64 2023
100 _aFogarty, Brian J.
245 _aQuantitative social science data with r :
_ban introduction /
_cBrian J. Fogarty
250 _a2nd edition.
264 _aLondon :
_bSage Publications ,
_c2023.
300 _axiii, 390 pages ;
_c25 cm.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
500 _aIncludes bibliographical references and index.
505 _aIntroduction to r and rstudio -- Finding data -- Data management -- Variables and manipulation -- Developing hypothesis -- Univariate and descriptive statistics -- Data visualisation -- Hypothesis testing -- Bivariate analysis -- Linear regression and model building -- Ols assumptions and diagnostic testing -- Generalised linear models -- Count models -- Putting it all together.
520 _a"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.
650 _aSocial sciences
_vResearch
_xData processing.
650 _aQuantitative research
_vData processing.
942 _2lcc
_cBK
_kEAC Cavite-SHS
999 _c94873
_d94873