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The Fundamentals of Political Science Research
  • Language: en
  • Pages: 293

The Fundamentals of Political Science Research

This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research.

The Fundamentals of Political Science Research
  • Language: en
  • Pages: 345

The Fundamentals of Political Science Research

The third edition of the textbook is aimed at upper-level undergraduates and graduate students in political science. It provides the basic tools necessary for students to understand and craft scientific research on politics. The new edition contains a new pedagogical feature, 'Your Turn' boxes, meant to engage students.

The Fundamentals of Political Science Research
  • Language: en
  • Pages: 293

The Fundamentals of Political Science Research

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.

The Mass Media and the Dynamics of American Racial Attitudes
  • Language: en
  • Pages: 180

The Mass Media and the Dynamics of American Racial Attitudes

Paul M. Kellstedt explains the variation in Americans' racial attitudes over the last half-century, particularly the relationship between media coverage of race and American public opinion on race. The analyses reveal that racial policy preferences have evolved in an interesting and unpredicted (if not unpredictable) fashion over the past fifty years. There have been sustained periods of liberalism, where the public prefers an active government to bring about racial equality, and these periods are invariably followed by eras of conservatism, where the public wants the government to stay out of racial politics altogether. These opinions respond to cues presented in the national media. Kellstedt then examines the relationship between attitudes on the two major issues of the twentieth century: race and the welfare state.

An R Companion for the Third Edition of The Fundamentals of Political Science Research
  • Language: en
  • Pages: 125

An R Companion for the Third Edition of The Fundamentals of Political Science Research

An R Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of R using real political data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using R. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of R step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in R to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses.

The Fundamentals of Social Research
  • Language: en
  • Pages: 315

The Fundamentals of Social Research

This text links the complementary processes of research design and statistical analysis in assessing causal relationships in the social sciences.

An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research
  • Language: en
  • Pages: 105

An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research

An SPSS Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of SPSS using real political science data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using SPSS. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of SPSS step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in SPSS to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses.

An R Companion for The Fundamentals of Social Research
  • Language: en
  • Pages: 97

An R Companion for The Fundamentals of Social Research

Teaches students how to use R to conduct the statistical analyses most commonly used in political science.

Designing Social Inquiry
  • Language: en
  • Pages: 259

Designing Social Inquiry

Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?

Robustness Tests for Quantitative Research
  • Language: en
  • Pages: 269

Robustness Tests for Quantitative Research

This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.