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A01=Jonathan M. Kropko
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Author_Jonathan M. Kropko
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Category1=Non-Fiction
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COP=United States
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Language_English
PA=To order
Price_€50 to €100
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Mathematics for Social Scientists

★★★★★
★★★★★

English

By (author): Jonathan M. Kropko

Written for social science students who will be working with or conducting research, Mathematics for Social Scientists offers a non-intimidating approach to learning or reviewing math skills essential in quantitative research methods. The text is designed to build students confidence by presenting material in a conversational tone and using a wealth of clear and applied examples. Author Jonathan Kropko argues that mastering these concepts will break students reliance on using basic models in statistical software, allowing them to engage with research data beyond simple software calculations. See more
€85.49
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A01=Jonathan M. KropkoAge Group_UncategorizedAuthor_Jonathan M. Kropkoautomatic-updateCategory1=Non-FictionCategory=JHBCCategory=PBCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=To orderPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 710g
  • Dimensions: 187 x 231mm
  • Publication Date: 10 Nov 2015
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781506304212

About Jonathan M. Kropko

Jonathan Kropko is a professor in the Department of Politics at the University of Virginia where he also serves on the steering committee of the Quantitative Collaborative an interdisciplinary research initiative for applied statistics in the social sciences. Previously he held a postdoctoral research fellowship  at the Applied Statistics Center at Columbia University and was a statistics consultant at the H. W. Odum Institute for Research in the Social Sciences at the University of North Carolina. He holds degrees in mathematics (BS) and political science (BA) from Ohio State University and earned a PhD in political science from the University of North Carolina in 2011. He is a specialist in political methodology with a focus on missing data imputation time series and measurement methods.

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