LEADER 03611nam 2200529 450 001 9910746084603321 005 20231104192811.0 010 $a3-031-34583-5 024 7 $a10.1007/978-3-031-34583-8 035 $a(CKB)28208971300041 035 $a(DE-He213)978-3-031-34583-8 035 $a(MiAaPQ)EBC30766899 035 $a(Au-PeEL)EBL30766899 035 $a(MiAaPQ)EBC30740689 035 $a(Au-PeEL)EBL30740689 035 $a(EXLCZ)9928208971300041 100 $a20231104d2023 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative Methods for the Social Sciences $eA Practical Introduction with Examples in R /$fDaniel Stockemer and Jean-Nicolas Bordeleau 205 $aSecond edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (152 pages) $cillustrations (black and white, and color) 225 0 $aSpringer Texts in Political Science and International Relations Series 311 0 $a9783031345821 320 $aIncludes bibliographical references. 327 $aChapter 1: Introduction -- Chapter 2: The Nuts and Bolts of Empirical Social Science -- Chapter 3: A Short Introduction to Survey Research -- Chapter 4: Constructing a Survey -- Chapter 5: Conducting a Survey -- Chapter 6: Introducing R and Univariate Statistics -- Chapter 7: Bivariate Statistics with Categorical Variables -- Chapter 8: Bivariate Statistics with Two Continuous Variables -- Chapter 9: Multivariate Regression Analysis -- Appendix. 330 $aThis textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R. Building on the premise that we need to teach statistical methods in a holistic and practical format, the book guides students through the four main elements of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. In detail, students will learn how to create their own questionnaire on the basis of formulating hypotheses; sampling participants; disseminating their questionnaire; creating datasets; and analyzing their data. The data analytical sections of this revised and extended edition explain the theory, rationale and mathematical foundations of relevant bivariate and multi-variate statistical tests. These include the T-test, F-test, Chi-square test and correlation analyses, as well as bivariate and multivariate regression analyses. In addition, the book offers a brief introduction to statistical computing with R, which includes clear instructions on how to conduct these statistical tests in R. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research and quantitative methods classes in the social sciences. 410 0$aSpringer Texts in Political Science and International Relations,$x2730-9568 606 $aSocial sciences$xResearch$xMethodology 606 $aSocial sciences$xResearch$xStatistical methods 615 0$aSocial sciences$xResearch$xMethodology. 615 0$aSocial sciences$xResearch$xStatistical methods. 676 $a300.72 700 $aStockemer$b Daniel$0791919 702 $aBordeleau$b Jean-Nicolas 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746084603321 996 $aQuantitative methods for the social sciences$91770674 997 $aUNINA