000			03482nam a2200397 4500
001			OTLid0000536
003			MnU
005			20201105133337.0
006			m o d s
008			180907s2017 mnu o 0 0 eng d
020			_a
040			_aMnU _beng _cMnU
050		4	_aJA71
050		4	_aH1
100	1		_aJenkins-Smith, Hank _eauthor
245	0	0	_aQuantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R) _cHank Jenkins-Smith
250			_a3rd Edition
264		2	_bOpen Textbook Library
264		1	_bUniversity of Oklahoma Libraries
300			_a1 online resource
490	0		_aOpen textbook library.
505	0		_aI Theory and Empirical Social Science -- 1 Theories and Social Science -- 2 Research Design -- 3 Exploring and Visualizing Data -- 4 Probability -- 5 Inference -- 6 Association of Variables -- II Simple Regression -- 7 The Logic of Ordinary Least Squares Estimation -- 8 Linear Estimation and Minimizing Error -- 9 Bi-Variate Hypothesis Testing and Model Fit -- 10 OLS Assumptions and Simple Regression Diagnostics -- III Multiple Regression -- 11 Introduction to Multiple Regression -- 12 The Logic of Multiple Regression -- 13 Multiple Regression and Model Building -- 14 Topics in Multiple Regression -- 15 The Art of Regression Diagnostic -- IV Generalized Linear Model -- 16 Logit Regression -- V Appendices -- 17 Appendix: Basic
520	0		_aThe 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 publically 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.
542	1		_fAttribution
546			_aIn English.
588	0		_aDescription based on online resource
650		0	_aPolitical Science _vTextbooks
650		0	_aSocial sciences _vTextbooks
700	1		_aRipberger, Joseph _eauthor
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/536 _zAccess online version
999			_c19916 _d19916