Verfasst von:	Llaudet, Elena [VerfasserIn]
	Imai, Kosuke [VerfasserIn]
Titel:	Data analysis for social science
Titelzusatz:	a friendly and practical introduction
Verf.angabe:	Elena Llaudet and Kosuke Imai
Verlagsort:	Princeton ; Oxford
Verlag:	Princeton University Press
E-Jahr:	2023
Jahr:	[2023]
Umfang:	xii, 238 Seiten
Illustrationen:	Illustrationen
Fussnoten:	Register
Ang. zum Inhalt:	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
ISBN:	978-0-691-19942-9
	978-0-691-19943-6
Abstract:	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.
URL:	Inhaltsverzeichnis: http://www.gbv.de/dms/bowker/toc/9780691199436.pdf
	Inhaltsbeschreibung & Beispielseiten: https://press.princeton.edu/books/paperback/9780691199436/data-analysis-for-social-science
Schlagwörter:	(s)Sozialwissenschaften    / (s)Quantitative Methode    / (s)Statistik    / (s)Datenanalyse    / (s)R <Programm>
Dokumenttyp:	Einführung
Sprache:	eng
Bibliogr. Hinweis:	Erscheint auch als : Online-Ausgabe: Llaudet, Elena, 1978-: Data analysis for social science. - Princeton : Princeton University Press, [2023]
RVK-Notation:	MR 2200
	MR 2600
	MR 2000
Sach-SW:	SOCIAL SCIENCE / Statistics
	COMPUTERS / Data Science / Data Analytics
K10plus-PPN:	1813911576