Author: Rocío Titiunik
Publisher:
ISBN:
Category :
Languages : en
Pages : 410
Book Description
Essays in Political Representation
Author: Rocío Titiunik
Publisher:
ISBN:
Category :
Languages : en
Pages : 410
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 410
Book Description
The Oxford Handbook of American Elections and Political Behavior
Author: Jan E. Leighley
Publisher: Oxford University Press (UK)
ISBN: 0199604517
Category : History
Languages : en
Pages : 796
Book Description
The Oxford Handbooks of American Politics are the essential guide to the study of American political life in the 21st Century. With engaging contributions from the major figures in the field The Oxford Handbook of American Elections and Political Behavior provides the key point of reference for anyone working in American Politics today
Publisher: Oxford University Press (UK)
ISBN: 0199604517
Category : History
Languages : en
Pages : 796
Book Description
The Oxford Handbooks of American Politics are the essential guide to the study of American political life in the 21st Century. With engaging contributions from the major figures in the field The Oxford Handbook of American Elections and Political Behavior provides the key point of reference for anyone working in American Politics today
Experimental and Quasi-experimental Designs for Generalized Causal Inference
Author: William R. Shadish
Publisher: Cengage Learning
ISBN:
Category : Education
Languages : en
Pages : 664
Book Description
Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.
Publisher: Cengage Learning
ISBN:
Category : Education
Languages : en
Pages : 664
Book Description
Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.
Causal Inference in Statistics
Author: Judea Pearl
Publisher: John Wiley & Sons
ISBN: 1119186862
Category : Mathematics
Languages : en
Pages : 162
Book Description
CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
Publisher: John Wiley & Sons
ISBN: 1119186862
Category : Mathematics
Languages : en
Pages : 162
Book Description
CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
Designing Social Inquiry
Author: Gary King
Publisher: Princeton University Press
ISBN: 0691034710
Category : Social Science
Languages : en
Pages : 259
Book Description
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?
Publisher: Princeton University Press
ISBN: 0691034710
Category : Social Science
Languages : en
Pages : 259
Book Description
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?
How Democracy Works
Author: Bas Denters
Publisher: Amsterdam University Press
ISBN: 908555036X
Category : Political Science
Languages : en
Pages : 296
Book Description
This text analyses the functioning of modern democracies in terms of two basic principles: political representation and policy congruence between citizens and their representatives. A group of scholars examines if democracy still works today, and how it works, while its functioning is challenged by fundamental changes in society.
Publisher: Amsterdam University Press
ISBN: 908555036X
Category : Political Science
Languages : en
Pages : 296
Book Description
This text analyses the functioning of modern democracies in terms of two basic principles: political representation and policy congruence between citizens and their representatives. A group of scholars examines if democracy still works today, and how it works, while its functioning is challenged by fundamental changes in society.
Counterfactuals and Causal Inference
Author: Stephen L. Morgan
Publisher: Cambridge University Press
ISBN: 1316165159
Category : Mathematics
Languages : en
Pages : 525
Book Description
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.
Publisher: Cambridge University Press
ISBN: 1316165159
Category : Mathematics
Languages : en
Pages : 525
Book Description
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.
The Book of Why
Author: Judea Pearl
Publisher: Basic Books
ISBN: 0465097618
Category : Computers
Languages : en
Pages : 432
Book Description
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
Publisher: Basic Books
ISBN: 0465097618
Category : Computers
Languages : en
Pages : 432
Book Description
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
Participation in America
Author: Sidney Verba
Publisher: University of Chicago Press
ISBN: 0226852962
Category : Political Science
Languages : en
Pages : 452
Book Description
Participation in America represents the largest study ever conducted of the ways in which citizens participate in American political life. Sidney Verba and Norman H. Nie addresses the question of who participates in the American democratic process, how, and with what effects. They distinguish four kinds of political participation: voting, campaigning, communal activity, and interaction with a public official to achieve a personal goal. Using a national sample survey and interviews with leaders in 64 communities, the authors investigate the correlation between socioeconomic status and political participation. Recipient of the Kammerer Award (1972), Participation in America provides fundamental information about the nature of American democracy.
Publisher: University of Chicago Press
ISBN: 0226852962
Category : Political Science
Languages : en
Pages : 452
Book Description
Participation in America represents the largest study ever conducted of the ways in which citizens participate in American political life. Sidney Verba and Norman H. Nie addresses the question of who participates in the American democratic process, how, and with what effects. They distinguish four kinds of political participation: voting, campaigning, communal activity, and interaction with a public official to achieve a personal goal. Using a national sample survey and interviews with leaders in 64 communities, the authors investigate the correlation between socioeconomic status and political participation. Recipient of the Kammerer Award (1972), Participation in America provides fundamental information about the nature of American democracy.
Dissertation Abstracts International
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 640
Book Description
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 640
Book Description