LEADER 04332cam a2200709 i 4500001 99125557846206421 005 20240820114341.0 008 211020t20222022njuab b 001 0 eng^^ 010 2021051896 019 1280060439 020 9780691222288 |q(paperback) 020 0691222282 |q(paperback) 020 9780691222271 |q(hardcover) 020 0691222274 |q(hardcover) 020 |z9780691222295 |qelectronic book 035 |n(MLS)3113396 035 (DLC)2021051896 035 (OCoLC)on1280405773 035 (OCoLC)1280405773 |z(OCoLC)1280060439 040 DLC |beng |erda |cDLC |dBDX |dYDX |dOCLCF |dOCLCO |dUKMGB |dUUM |dYDX |dEAU |dNYP |dUAT |dOCL 042 pcc 050 00 H62 |b.I5366 2022 060 4 H62 |b.I5366 2022 082 00 300.72/1 |223/eng/20211020 100 1 Imai, Kosuke, |eauthor. 245 10 Quantitative social science : |ban introduction in tidyverse / |cKosuke Imai, Nora Webb Williams. 263 2209 264 1 Princeton, New Jersey : |bPrinceton University Press, |c[2022] 264 4 |c©2022 300 xx, 458 pages : |billustrations (some color), maps (some color) ; |c27 cm 336 text |btxt |2rdacontent 336 still image |bsti |2rdacontent 336 cartographic image |bcri |2rdacontent 337 unmediated |bn |2rdamedia 338 volume |bnc |2rdacarrier 504 Includes bibliographical references and indexes. 505 0 1. Introduction -- 2. Causality -- 3. Measurement -- Prediction -- 5. Discovery -- 6. Probability -- 7. Uncertainty -- 8. Next. 520 "This "translation" of Imai's Quantiative Social Science makes the book adoptable in courses that use tidyverse. Tidyverse is a "dialect" of R--that is, it is a set of R packages that make data science work more user-friendly. Many instructors find tidyverse much easier to teach and are increasingly using this in the classroom setting"-- |cProvided by publisher. 520 Quantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior--back cover 650 0 Social sciences |xResearch |xData processing. 650 0 Social sciences |xMethodology. 650 0 Quantitative research |xData processing. 650 0 R (Computer program language) 650 6 Sciences sociales |0(CaQQLa)201-0021005 |xRecherche |0(CaQQLa)201-0021005 |xInformatique. |0(CaQQLa)201-0380011 650 6 Recherche quantitative |0(CaQQLa)000261470 |xInformatique. |0(CaQQLa)201-0380011 650 6 R (Langage de programmation) |0(CaQQLa)201-0368319 650 7 R (Computer program language) |2fast |0(OCoLC)fst01086207 650 7 Social sciences |xMethodology. |2fast |0(OCoLC)fst01122933 650 7 Social sciences |xResearch |xData processing. |2fast |0(OCoLC)fst01122948 655 7 Instructional and educational works. |2fast |0(OCoLC)fst01919931 655 7 Informational works. |2fast |0(OCoLC)fst01919930 655 7 Instructional and educational works. |2lcgft 655 7 Informational works. |2lcgft 700 1 Williams, Nora Webb, |eauthor. 776 08 |iOnline version:Imai, Kosuke. |tQuantitative social science |dPrinceton : Princeton University Press, [2022] |z9780691222295 |w(DLC) 2021051897 852 |bf 902 960223596 |wcopy |120220817171316.0 910 |d67548 |gMIDWEST 914 (OCoLC)on1280405773 |bOCoLC |cmatch |d20221117 |eprocessed |f1280405773 980 20220823 |f5281715 |hA0401mon |i120.00 |j117.81 |n3113396 982 |bFY21 |n2021 |q32101112761547 986 |hH62 |i.I5366 2022