analytical methods for social research

95折

Multiverse Analysis：Computational Methods for Robust Results

作者：Cristobal (Cornell University Young New York); Erin (Stanford University Cumberworth California) 出版社：Cambridge University Press 出版日：2024/11/30 裝訂：平裝

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定價：1689 元，優惠價：95 1604

90折

2.

Formal Models of Domestic Politics

作者：Scott Gehlbach 出版社：Cambridge Univ Pr 出版日：2021/09/30 裝訂：平裝

Formal Models of Domestic Politics offers a unified and accessible approach to canonical and important new models of politics. Intended for political science and economics students who have already taken a course in game theory, this new edition retains the widely appreciated pedagogic approach of the first edition. Coverage has been expanded to include a new chapter on nondemocracy; new material on valance and issue ownership, dynamic veto and legislative bargaining, delegation to leaders by imperfectly informed politicians, and voter competence; and numerous additional exercises. Political economists, comparativists, and Americanists will all find models in the text central to their research interests. This leading graduate textbook assumes no mathematical knowledge beyond basic calculus, with an emphasis placed on clarity of presentation. Political scientists will appreciate the simplification of economic environments to focus on the political logic of models; economists will

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定價：1859 元，優惠價：9 1673

3.

Multiverse Analysis：Computational Methods for Robust Results

作者：Cristobal (Cornell University Young New York); Erin (Stanford University Cumberworth California) 出版社：Cambridge University Press 出版日：2024/11/30 裝訂：精裝

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Time Series Analysis for the Social Sciences

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4.

Time Series Analysis for the Social Sciences

作者：Janet M. Box-Steffensmeier; John R. Freeman; Jon C. W. Pevehouse; Matthew Perry Hitt 出版社：Cambridge Univ Pr 出版日：2014/08/31 裝訂：平裝

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定價：2144 元，優惠價：1 2144

5.

Maximum Likelihood for Social Science ― Strategies for Analysis

作者：Michael D. Ward 出版社：Cambridge Univ Pr 出版日：2018/11/22 裝訂：精裝

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

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6.

Formal Models of Domestic Politics

作者：Scott Gehlbach 出版社：Cambridge Univ Pr 出版日：2021/09/30 裝訂：精裝

Formal Models of Domestic Politics offers a unified and accessible approach to canonical and important new models of politics. Intended for political science and economics students who have already taken a course in game theory, this new edition retains the widely appreciated pedagogic approach of the first edition. Coverage has been expanded to include a new chapter on nondemocracy; new material on valance and issue ownership, dynamic veto and legislative bargaining, delegation to leaders by imperfectly informed politicians, and voter competence; and numerous additional exercises. Political economists, comparativists, and Americanists will all find models in the text central to their research interests. This leading graduate textbook assumes no mathematical knowledge beyond basic calculus, with an emphasis placed on clarity of presentation. Political scientists will appreciate the simplification of economic environments to focus on the political logic of models; economists will

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Data Analysis Using Regression And Multilevel/Hierarchical Models

90折

7.

Data Analysis Using Regression And Multilevel/Hierarchical Models

作者：Andrew Gelman 出版社：Cambridge Univ Pr 出版日：2006/12/18 裝訂：平裝

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.

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定價：3119 元，優惠價：9 2807

8.

Spatial Analysis for the Social Sciences

作者：David Darmofal 出版社：Cambridge Univ Pr 出版日：2015/10/31 裝訂：精裝

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9.

Spatial Analysis for the Social Sciences

作者：David Darmofal 出版社：Cambridge Univ Pr 出版日：2015/10/31 裝訂：平裝

"Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diag

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定價：2144 元，優惠價：1 2144

10.

Regression and Other Stories

作者：Andrew Gelman 出版社：Cambridge Univ Pr 出版日：2020/08/31 裝訂：精裝

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

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11.

Event History Modeling：A Guide for Social Scientists

作者：Janet M. Box-Steffensmeier 出版社：Cambridge Univ Pr 出版日：2004/04/05 裝訂：精裝

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and

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12.

Counterfactuals and Causal Inference：Methods and Principles for Social Research

作者：Christopher Winship Stephen L. Morgan 出版社：Cambridge University Press 出版日：2007/07/30 裝訂：平裝

In this book, the essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political science, and economics. The importan

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90折

13.

Political Game Theory：An Introduction

作者：Nolan McCarty 出版社：Cambridge Univ Pr 出版日：2007/01/08 裝訂：精裝

Political Game Theory is a self-contained introduction to game theory and its applications to political science. The book presents choice theory, social choice theory, static and dynamic games of complete information, static and dynamic games of incomplete information, repeated games, bargaining theory, mechanism design and a mathematical appendix covering, logic, real analysis, calculus and probability theory. The methods employed have many applications in various disciplines including comparative politics, international relations and American politics. Political Game Theory is tailored to students without extensive backgrounds in mathematics, and traditional economics, however there are also many special sections that present technical material that will appeal to more advanced students. A large number of exercises are also provided to practice the skills and techniques discussed.

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定價：3379 元，優惠價：9 3041

90折

14.

Spatial Models of Parliamentary Voting

作者：Keith T. Poole 出版社：Cambridge Univ Pr 出版日：2005/04/11 裝訂：精裝

This book presents a simple geometric model of voting as a tool to analyze parliamentary roll call data. Each legislator is represented by one point and each roll call is represented by two points that correspond to the policy consequences of voting Yea or Nay. On every roll call each legislator votes for the closer outcome point, at least probabilistically. These points form a spatial map that summarizes the roll calls. In this sense a spatial map is much like a road map because it visually depicts the political world of a legislature. The closeness of two legislators on the map shows how similar their voting records are, and the distribution of legislators shows what the dimensions are. These maps can be used to study a wide variety of topics including how political parties evolve over time, the existence of sophisticated voting and how an executive influences legislative outcomes.

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定價：3964 元，優惠價：9 3568

Ecological Inference：New Methodological Strategies

90折

15.

Ecological Inference：New Methodological Strategies

作者：Gary King 出版社：Cambridge Univ Pr 出版日：2004/09/13 裝訂：平裝

Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference.

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定價：2014 元，優惠價：9 1813

90折

16.

Spatial Models Of Parliamentary Voting

作者：Keith T. Poole 出版社：Cambridge Univ Pr 出版日：2005/04/11 裝訂：平裝

This book presents a simple geometric model of voting as a tool to analyze parliamentary roll call data. Each legislator is represented by one point and each roll call is represented by two points that correspond to the policy consequences of voting Yea or Nay. On every roll call each legislator votes for the closer outcome point, at least probabilistically. These points form a spatial map that summarizes the roll calls. In this sense a spatial map is much like a road map because it visually depicts the political world of a legislature. The closeness of two legislators on the map shows how similar their voting records are, and the distribution of legislators shows what the dimensions are. These maps can be used to study a wide variety of topics including how political parties evolve over time, the existence of sophisticated voting and how an executive influences legislative outcomes.

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定價：1819 元，優惠價：9 1637

Essential Mathematics for Political and Social Research

90折

17.

Essential Mathematics for Political and Social Research

作者：Jeff Gill 出版社：Cambridge Univ Pr 出版日：2006/04/24 裝訂：平裝

Essential Mathematics for Political and Social Research addresses an educational deficiency in the social and behavioral sciences. This 2006 book was the first of its kind to specifically address the comprehensive introduction to the mathematical principles needed by modern social scientists. The material introduces basic mathematical principles necessary to do analytical work in the social sciences, starting from first principles, but without unnecessary complexity. The core purpose is to present fundamental notions in standard notation and standard language with a clear, unified framework throughout. Through examples and exercises, this book is intended to not only motivate specific mathematical principles and practices, but also introduce the way that social science researchers use these tools. The intended emphasis is on conceptual understanding of key principles and their subsequent application.

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定價：2599 元，優惠價：9 2339

90折

18.

Counterfactuals and Causal Inference ─ Methods and Principles for Social Research

作者：Stephen L. Morgan; Christopher Winship 出版社：Cambridge University Press 出版日：2007/07/30 裝訂：平裝

Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use

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定價：1440 元，優惠價：9 1296

19.

Time Series Analysis for the Social Sciences

作者：Janet M. Box-Steffensmeier; John R. Freeman; Jon C. W. Pevehouse; Matthew Perry Hitt 出版社：Cambridge Univ Pr 出版日：2014/08/31 裝訂：精裝

"Time-series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time-series properties of their data as a nuisance rather than a substantively meanin

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滿額折

20.

Counterfactuals and Causal Inference ─ Methods and Principles for Social Research

作者：Stephen L. Morgan 出版社：Cambridge Univ Pr 出版日：2014/11/30 裝訂：平裝

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.

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定價：1949 元，優惠價：9 1754

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Multiverse Analysis：Computational Methods for Robust Results

Formal Models of Domestic Politics

Multiverse Analysis：Computational Methods for Robust Results

Time Series Analysis for the Social Sciences

Maximum Likelihood for Social Science ― Strategies for Analysis

Formal Models of Domestic Politics

Data Analysis Using Regression And Multilevel/Hierarchical Models

Spatial Analysis for the Social Sciences

Spatial Analysis for the Social Sciences

Regression and Other Stories

Event History Modeling：A Guide for Social Scientists

Counterfactuals and Causal Inference：Methods and Principles for Social Research

Political Game Theory：An Introduction

Spatial Models of Parliamentary Voting

Ecological Inference：New Methodological Strategies

Spatial Models Of Parliamentary Voting

Essential Mathematics for Political and Social Research

Counterfactuals and Causal Inference ─ Methods and Principles for Social Research

Time Series Analysis for the Social Sciences

Counterfactuals and Causal Inference ─ Methods and Principles for Social Research