000 03551cam a2200433 i 4500
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008 210311t20222022enka b 001 0 eng d
010 _a 2021935075
015 _aGBC1E9046
_2bnb
020 _a9781526476227
_qpaperback
020 _a9781526476234
_qhardcover
035 _a(OCoLC)on1249797563
040 _aYDX
_beng
_cYDX
_erda
_dBDX
_dUKMGB
_dOCLCO
_dOCLCF
_dOCLCO
_dYDX
_dBUF
_dDLC
042 _alccopycat
050 0 0 _aH61.3
_b.M44 2022
082 0 4 _a300.285/5133
_223
100 1 _aMehmetoglu, Mehmet,
_eauthor.
245 1 0 _aApplied statistics using R
_b: a guide for the social sciences
_c/ Mehmet Mehmetoglu, Matthias Mittner.
264 1 _aLondon ;
_aThousand Oaks, Calfornia :
_bSAGE Publications Ltd,
_c[2022]
264 4 _c©2022
300 _axxii, 449 pages :
_billustrations (some color) ;
_c25 cm
504 _aIncludes bibliographical references (pages 437-442) and index.
505 _aChapter 1: Introduction to R - Chapter 2: Importing and working with data in R - Chapter 3: How does R work? - Chapter 4: Data management - Chapter 5: Data visualisation with ggplot2 - Chapter 6: Descriptive statistics - Chapter 7: Simple (bivariate) regression - Chapter 8: Multiple linear regression - Chapter 9: Dummy-variable regression - Chapter 10: Moderation/interaction analysis using regression Chapter 11: Logistic regression - Chapter 12: Multilevel and longitudinal analysis - Chapter 13: Factor analysis - Chapter 14: Structural equation modelling - Chapter 15: Bayesian statistics
520 _aIf you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.
650 0 _aSocial sciences
_xResearch
_xData processing.
650 0 _aSocial sciences
_xStatistical methods.
650 0 _aR (Computer program language)
650 6 _aSciences sociales
_xRecherche
_xInformatique.
650 6 _aSciences sociales
_xMéthodes statistiques.
650 6 _aR (Langage de programmation)
650 7 _aR (Computer program language)
_2fast
_0(OCoLC)fst01086207
650 7 _aSocial sciences
_xResearch
_xData processing.
_2fast
_0(OCoLC)fst01122948
650 7 _aSocial sciences
_xStatistical methods.
_2fast
_0(OCoLC)fst01122983
700 1 _aMittner, Matthias,
_eauthor.
856 _3https://study.sagepub.com/mehmetogluandmittner
942 _2lcc
999 _c3562
_d3562
041 _aEnglish