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035   $a(DE-He213)978-3-658-49801-6
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100   $a20260203d2026      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Science for the Social Sciences $eIntroduction and Advanced Models with R /$fby Benjamin E. Schlegel
205   $a1st ed. 2026.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer,$d2026.
215   $a1 online resource (383 pages)
225 1 $aSpringer Texts in Political Science and International Relations,$x2730-9568
311 08$a3-658-49800-5 
327   $a1. Introduction -- Part 1: I. Univariate Statistics -- 2. Concepts, Analysis Unit and Scales -- 3. Indices -- 4. Univariate Statistics -- 5. Distributions, Graphics and Quarto Markdown -- 6. Probability Theory and Random Samples -- 7. Test Theory, Inferential Statistics and Hypotheses -- Part II: Bivariate Statistics -- 8. Correlations of two variables -- 9. Theory of Hypothesis Testing -- 10. Univariate Linear Regression -- Part III: Multivariate Statistics -- 11. Multiple Linear Regression -- 12. Transformations, Interaction and Mediation -- 13. Uncertainty -- 14. Causality -- 15. Maximum Likelihood -- Part IV: Advanced Models -- 16. Advanced Models -- 17. Time Series Analysis -- 18. Panel Analysis -- 19. Logistic Regression -- 20. Event Count Models -- 21. Ordinal Logistic Regression -- 22. Multinomial Logistic Regression -- 23. Writing a Scientific Paper.
330   $aThis textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated statistical models. Using the freely available statistical software R, the analyses are implemented in a clear and practical manner to make the theoretical concepts more tangible. In addition, the author introduces Quarto Markdown ? a tool that significantly simplifies the technical aspects of writing seminar papers, bachelor?s and master?s theses. Exercises at the end of each chapter encourage readers to apply the material covered and dig deeper on their own. The book is primarily intended for students in the social sciences. The English translation of this book, originally in German, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
410  0$aSpringer Texts in Political Science and International Relations,$x2730-9568
606   $aPolitical science
606   $aSociology$xMethodology
606   $aSocial sciences$xStatistical methods
606   $aMethodology of Political Science
606   $aSociological Methods
606   $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
615  0$aPolitical science.
615  0$aSociology$xMethodology.
615  0$aSocial sciences$xStatistical methods.
615 14$aMethodology of Political Science.
615 24$aSociological Methods.
615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
676   $a320.0721
700   $aSchlegel$b Benjamin E$01892815
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911061732803321
996   $aData Science for the Social Sciences$94539753
997   $aUNINA