03790nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001200172072001600184072002300200072001500223100008400238245012400322250001800446264006900464300006600533336002600599337002600625338003600651347002400687490005700711505074200768520121501510650003002725650004902755650004502804650010602849650002902955710003402984773002603018776003603044776003603080776003603116830006403152856004603216912001403262912001503276999001703291978-3-031-75853-9DE-He21320251030114936.0cr nn 008mamaa250131s2024    sz |    s    |||| 0|eng d  a97830317585399978-3-031-75853-97 a10.1007/978-3-031-75853-92doi 4aJA71-80 7aJPA2bicssc 7aPOL0000002bisacsh 7aJPA2thema1 aSumner, Jane L.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut99059510aR for Political Science Researchh[electronic resource] :bAn Introduction for Absolute Beginners /cby Jane L. Sumner.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVII, 363 p. 60 illus., 29 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aTexts in Quantitative Political Analysis,x2730-96220 a -- 1 Introduction: How to use this book.  -- 2 Languages: Human and Computer.  -- 3 Installing and Setting Up R and RStudio.  -- 4 Getting Stuff Wrong.  -- 5 Types and Objects.  -- 6 Calculator.  -- 7 Functions and packages.  -- 8 Creating or Importing Data.  -- 9 Manipulating Data.  -- 10 Recoding, Leveling, and Cleaning.  -- 11 Describing data with numbers.  -- 12 Describing data with visuals.  -- 13 Cross-tabs and chi-squared tests, one- and two-sample t-tests.  -- 14 Linear Regression.  -- 15 Visualizing Results.  -- 16 Iteration.  -- 17 Bonus Material: Dealing with Text.  -- 18 Bonus Material: Web Scraping.  -- 19 Bonus Material: Presenting your results (RMarkdown).  -- 20 Bonus Material: Presenting your results (RShiny).  aThis text teaches basic R skills to political science students with no programming background. Intended specifically for the students who need to learn R for a class and who have no interest in R or may even be afraid of or hostile to it, this text builds an awareness of basics, confidence, and a skill set necessary to transition into more advanced texts. To that end, in addition to standard topics, this book includes three chapters specific to the new or reluctant learner. The Introduction explicitly sets expectations for how to use the book and discusses fixed and growth mentalities, and why a growth mentality is crucial for learning R. Chapter 1 includes some basic information on programming, R, and their place in political science research. Chapter 2 explicitly discusses errors, warnings, and methods of debugging. Further chapters build on this by including new errors or warnings that students may encounter as they progress. In service of the aim to give students a solid foundation in R and awareness of what it is and can do, this book teaches and uses both tidyverse and base R frameworks throughout. After completing the book, students should be prepared to learn more advanced materials. 0aPolitical science.958714 0aSocial sciencesxStatistical methods.97523614aMethodology of Political Science.97141924aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.97523724aPolitical Theory.9706092 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303175852208iPrinted edition:z978303175854608iPrinted edition:z9783031758553 0aTexts in Quantitative Political Analysis,x2730-962299059640uhttps://doi.org/10.1007/978-3-031-75853-9  aZDB-2-POS  aZDB-2-SXPI  c66590d66590