The Fundamentals of Political Science ResearchCambridge University Press, 15 dec. 2008 Paul M. Kellstedt's and Guy D. Whitten's The Fundamentals of Political Science Research provides an introduction to the scientific study of politics, supplying students with the basic tools needed to be both critical consumers and producers of scholarly research in political science. The book begins with a discussion of what it means to take a scientific approach to the study of politics. At the core of such an approach is the development of causal theories. Because there is no magic formula by which theories are developed, the authors present a series of strategies and develop an integrated approach to research design and empirical analyses that allows students to determine the plausibility of their causal theories. The text's accessible presentation of mathematical concepts and regression models with two or more independent variables is a key component to this process, along with the integration of examples from political science and the real world to help students grasp the fundamental concepts. |
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The Fundamentals of Political Science Research Paul M. Kellstedt,Guy D. Whitten Begränsad förhandsgranskning - 2013 |
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answer assumption benefits Bivariate Hypothesis Testing Bivariate Regression Models Bush calculate candidate categorical variables causal claims causal relationships causal theories causes Chapter coefficient column concepts confidence interval correlation covariation Crucial Extensions data set define definition democracy democratic dependent variable difficult discuss distribution economic performance effect equal to zero Evaluating Causal example expect figure find findings first fit formula fourth causal hurdle FPSR CUUS473/Kellstedt 978 gender growth Hillary Clinton Identification incumbent vote individual inferences influence measure multicollinearity Multiple Regression Multiple Regression Models November 9 null hypothesis observational studies outliers p—value parameter estimate particular parties political science political science research political scientists predicted probabilities problem question regression line regression model represent research design scientific slope parameter spatial unit specific standard deviation standard error statistical hypothesis testing statistically significant Table Thermometer time—series U.S. presidential election underlying population variance variation vote percentage voters