Quantitative Social Science
  • Language: en
  • Pages: 432

Quantitative Social Science

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the resultsâ€...

Quantitative Social Science
  • Language: en
  • Pages: 432

Quantitative Social Science

  • Type: Book
  • -
  • Published: 2017-01-08
  • -
  • Publisher: Unknown

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--i...

Quantitative Social Science
  • Language: en
  • Pages: 432

Quantitative Social Science

  • Type: Book
  • -
  • Published: 2017-01-08
  • -
  • Publisher: Unknown

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--i...

Finding Pathways
  • Language: en
  • Pages: 171

Finding Pathways

Introduces 'pathway analysis': a method to combine large and small-N research techniques and to aid understanding of causal mechanisms.

Experimental Political Science and the Study of Causality
  • Language: en

Experimental Political Science and the Study of Causality

Increasingly, political scientists use the term 'experiment' or 'experimental' to describe their empirical research. One of the primary reasons for doing so is the advantage of experiments in establishing causal inferences. In this book, Rebecca B. Morton and Kenneth C. Williams discuss in detail how experiments and experimental reasoning with observational data can help researchers determine causality. They explore how control and random assignment mechanisms work, examining both the Rubin causal model and the formal theory approaches to causality. They also cover general topics in experimentation such as the history of experimentation in political science; internal and external validity of experimental research; types of experiments - field, laboratory, virtual, and survey - and how to choose, recruit, and motivate subjects in experiments. They investigate ethical issues in experimentation, the process of securing approval from institutional review boards for human subject research, and the use of deception in experimentation.

Civic Talk
  • Language: en
  • Pages: 184

Civic Talk

Does talking about civic issues encourage civic participation? In his innovative book, Civic Talk, Casey Klofstad shows that our discussions about politics and current events with our friends, colleagues, and relatives—"civic talk"—has the ability to turn thought into action—from voting to volunteering in civic organizations. Klofstad’s path breaking research is the first to find evidence of a causal relationship between the casual chatting and civic participation. He employs survey information and focus groups consisting of randomly assigned college freshman roommates to show this behavior in action. Klofstad also illustrates how civic talk varies under different circumstances and how the effects can last years into the future. Based on these findings, Klofstad contends that social context plays a central role in maintaining the strength of democracy. This conclusion cuts against the grain of previous research, which primarily focuses on individual-level determinants of civic participation, and negates social-level explanations.

SAS and R
  • Language: en
  • Pages: 468

SAS and R

  • Type: Book
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  • Published: 2014-07-17
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  • Publisher: CRC Press

An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the S...

Rethinking Social Inquiry
  • Language: en
  • Pages: 428

Rethinking Social Inquiry

With innovative new chapters on process tracing, regression analysis, and natural experiments, the second edition of Rethinking Social Inquiry further extends the reach of this path-breaking book. The original debate with King, Keohane, and Verba_now updated_remains central to the volume, and the new material illuminates evolving discussions of essential methodological tools. Thus, process tracing is often invoked as fundamental to qualitative analysis, but is rarely applied with precision. Pitfalls of regression analysis are sometimes noted, but often are inadequately examined. And the complex assumptions and trade-offs of natural experiments are poorly understood. The second edition extends the methodological horizon through exploring these critical tools. A distinctive feature of this edition is the online placement of four chapters from the prior edition, all focused on the dialogue with King, Keohane, and Verba. Also posted online are exercises for teaching process tracing and understanding process tracing.

Process Tracing
  • Language: en
  • Pages: 344

Process Tracing

This book provides empirically grounded conceptual, design and practical advice on conducting process tracing, a key method of qualitative research.

Counterfactuals and Causal Inference
  • Language: en

Counterfactuals and Causal Inference

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.