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A01=Haiyan Bai
A01=M. H. Clark
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Author_Haiyan Bai
Author_M. H. Clark
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Language_English
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Price_€20 to €50
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SN=Quantitative Applications in the Social Sciences
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Propensity Score Methods and Applications

★★★★★
★★★★★

English

By (author): Haiyan Bai M. H. Clark

A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method.  

Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own. See more
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A01=Haiyan BaiA01=M. H. ClarkAge Group_UncategorizedAuthor_Haiyan BaiAuthor_M. H. Clarkautomatic-updateCategory1=Non-FictionCategory=GPSCategory=JHBCCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=ActiveSN=Quantitative Applications in the Social Sciencessoftlaunch
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Product Details
  • Weight: 180g
  • Dimensions: 139 x 215mm
  • Publication Date: 29 Dec 2018
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781506378053

About Haiyan BaiM. H. Clark

Dr. Haiyan Bai is a Professor at the University of Central Florida. She earned her Ph.D. in quantitative research methodology at the University of Cincinnati. Her research interests include issues that revolve around statistical/quantitative methods specifically propensity score methods resampling techniques research design measurement and the application of statistical methods in social and behavioral sciences. Dr. M. H. Clark is an Associate Lecturer statistical consultant and program evaluator at the University of Central Florida. She has a Ph.D. in Experimental Psychology with a specialization in research design and statistics from the University of Memphis. Her specific areas of expertise are in causal inference selection bias in non-randomized experiments and propensity score methods.

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