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LEADER 00000cai a2200733Ia 4500 
001    on1032261363 
003    OCoLC 
005    20210720045625.1 
006    m     o  d         
007    cr mn||||||||| 
008    180424c20179999okuuu   o     0    2eng d 
035    (OCoLC)1032261363 
040    COF|beng|cCOF|dORU|dOCLCQ|dOCLCF|dINT|dOCLCQ|dOCLCO|dOCLCQ
049    RIDW 
050  4 JA71.7|b.J46eb 
090    JA71.7|b.J46eb 
100 1  Jenkins-Smith, Hank C.,|0https://id.loc.gov/authorities/
       names/n88600151|eauthor. 
245 10 Quantitative research methods for political science, 
       public policy and public administration :|bwith 
       applications in R /|cHank C. Jenkins-Smith, Joseph T. 
       Ripberger, Gary Copeland, Matthew C. Nowlin, Tyler Hughes,
       Aaron L. Fister, Wesley Wehde. 
250    Third edition. 
264  1 [Norman, Oklahoma] :|bUniversity Libraries, the University
       of Oklahoma,|c2017- 
264  2 Minneapolis :|bOpen Textbook Library 
300    1 online resource :|billustrations (some color). 
310    Updated irregularly. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|bPDF|2rda 
490 1  Open textbook library 
505 0  Theories and social science -- Research design -- 
       Exploring and visualizing data -- Probability -- Inference
       -- Association of variables -- The logic of ordinary least
       squares estimation -- Linear estimation and minimizing 
       error -- Bi-variate hypothesis testing and model fit -- 
       OLS assumptions and simple regression diagnostics -- 
       Introduction to multiple regression -- The logic of 
       multiple regression -- Multiple regression and model 
       building -- Topics in multiple regression -- The art of 
       regression diagnostics -- Logit regression -- Basic R. 
520    "The focus of this book is on using quantitative research 
       methods to test hypotheses and build theory in political 
       science, public policy and public administration. It is 
       designed for advanced undergraduate courses, or 
       introductory and intermediate graduate-level courses. The 
       first part of the book introduces the scientific method, 
       then covers research design, measurement, descriptive 
       statistics, probability, inference, and basic measures of 
       association. The second part of the book covers bivariate 
       and multiple linear regression using the ordinary least 
       squares, the calculus and matrix algebra that are 
       necessary for understanding bivariate and multiple linear 
       regression, the assumptions that underlie these methods, 
       and then provides a short introduction to generalized 
       linear models. The book fully embraces the open access and
       open source philosophies. The book is freely available in 
       the SHAREOK repository; it is written in R Markdown files 
       that are available in a public GitHub repository; it uses 
       and teaches R and RStudio for data analysis, visualization
       and data management; and it uses publicly available survey
       data (from the Meso-Scale Integrated Socio-geographic 
       Network) to illustrate important concepts and methods. We 
       encourage students to download the data, replicate the 
       examples, and explore further! We also encourage 
       instructors to download the R Markdown files and modify 
       the text for use in different courses."--Open Textbook 
       Library. 
538    Mode of access: World Wide Web. 
542    |fThis work is licensed under a Creative Commons 
       Attribution 4.0 International License (CCBY 4.0) 
588    This bibliographic record is available under the Creative 
       Commons CC0 "No Rights Reserved" license. 
588 0  Online version,3rd edition, September 12, 2017; title from
       PDF (viewed on April 23, 2018). 
590    Open Educational Resources (OER). Open Textbooks 
590    |bOpen Textbook Library 
650  0 Quantitative research|0https://id.loc.gov/authorities/
       subjects/sh2007000909|vTextbooks.|0https://id.loc.gov/
       authorities/subjects/sh99001753 
650  0 Quantitative research.|0https://id.loc.gov/authorities/
       subjects/sh2007000909 
650  0 Policy sciences|0https://id.loc.gov/authorities/subjects/
       sh85104264|xStatistical methods.|0https://id.loc.gov/
       authorities/subjects/sh2001008679 
650  0 Political statistics.|0https://id.loc.gov/authorities/
       subjects/sh85104459 
650  0 Public administration|xStatistical methods.|0https://
       id.loc.gov/authorities/subjects/sh2010108829 
650  7 Quantitative research.|2fast|0https://id.worldcat.org/fast
       /1742283 
650  7 Policy sciences|xStatistical methods.|2fast|0https://
       id.worldcat.org/fast/1068820 
650  7 Policy sciences.|2fast|0https://id.worldcat.org/fast/
       1068796 
650  7 Political statistics.|2fast|0https://id.worldcat.org/fast/
       1069894 
650  7 Public administration|xStatistical methods.|2fast|0https:/
       /id.worldcat.org/fast/1082036 
655  7 Textbooks.|2fast|0https://id.worldcat.org/fast/1423863 
655  7 Textbooks.|2lcgft|0https://id.loc.gov/authorities/
       genreForms/gf2014026191 
700 1  Ripberger, Joseph T.,|d1984-|0https://id.loc.gov/
       authorities/names/no2017126308|eauthor. 
700 1  Copeland, Gary W.,|0https://id.loc.gov/authorities/names/
       n84009591|eauthor. 
700 1  Nowlin, Matthew C.,|d1976-|0https://id.loc.gov/authorities
       /names/no2017126341|eauthor. 
700 1  Hughes, Tyler,|d1986-|0https://id.loc.gov/authorities/
       names/no2017125888|eauthor. 
700 1  Fister, Aaron L.,|0https://id.loc.gov/authorities/names/
       no2017126439|eauthor. 
700 1  Wehde, Wesley,|0https://id.loc.gov/authorities/names/
       no2017126208|eauthor. 
710 2  Open Textbook Library,|0https://id.loc.gov/authorities/
       names/no2015006558|edistributor. 
830  0 Open Textbook Library. 
856 40 |uhttps://open.umn.edu/opentextbooks/textbooks/536|zOnline
       textbook via the Open Textbook Library. 
901    MARCIVE 20231220 
948    |d20221222|cOpenTextbook|tadd 988 July2021-June2022|lridw 
948    |d20210720|cOpenTextbook|tinitial load 827|lridw 
994    92|bRID