• Medientyp: Buch
  • Titel: Data analysis for social science : a friendly and practical introduction
  • Enthält: Estimating causal effects with randomized experiments
    Inferring population characteristics via survey research
    Predicting outcomes using linear regression
    Estimating causal effects with observational data
    Probability
    Quantifying uncertainty
  • Beteiligte: Llaudet, Elena [VerfasserIn]; Imai, Kosuke [VerfasserIn]
  • Erschienen: Princeton; Oxford: Princeton University Press, [2023]
  • Umfang: xii, 238 Seiten; Illustrationen
  • Sprache: Englisch
  • ISBN: 9780691199429; 9780691199436
  • RVK-Notation: MR 2200 : Datenverarbeitung und Kybernetik für Soziologen
    MR 2000 : Allgemeine Werke und Lehrbücher
    MR 2600 : Inhaltsanalyse, Aktenanalyse, Diskursanalyse
  • Schlagwörter: Sozialwissenschaften > Quantitative Methode > Statistik > Datenanalyse > R
  • Entstehung:
  • Anmerkungen: Register
  • Beschreibung: Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations.

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