Data Analysis for Policy Research
Public policy and data analysts assist elected decision-makers in their deliberative process by furnishing analytical information on issues and options under consideration. Many diverse methodologies are needed to develop sound and timely answers to the questions that are posed by the Congress, state governments, and other governmental bodies. This book on quantitative data analysis deals with information expressed as numbers, as opposed to words, and is about statistical analysis in particular because most numerical analyses by policy researchers are of that form. The intended reader is the student in introductory to intermediate data or policy analysis courses and the practicing professional policy generalist. While offering a comprehensive treatment on the topics of data and policy analysis, this book is not specifically intended for statisticians or other experts on evaluation design and methodology, though it certainly offers enough substance to act as a handy reference for these professionals.
Primarily, this book aims to bridge the communications gap between generalist and specialist, helping the generalist evaluator be a wiser consumer of technical advice and helping report reviewers be more sensitive to the potential for methodological errors. The intent is thus to provide a brief tour of the statistical terrain by introducing concepts and issues important to the work of policy professionals, illustrating the use of a variety of statistical methods, discussing factors that influence the choice of methods, and offering some advice on how to avoid pitfalls in the analysis of quantitative data. Concepts are presented in a nontechnical way by avoiding computational procedures, except for a few illustrations, and by avoiding a rigorous discussion of assumptions that underlie statistical methods.
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Primarily, this book aims to bridge the communications gap between generalist and specialist, helping the generalist evaluator be a wiser consumer of technical advice and helping report reviewers be more sensitive to the potential for methodological errors. The intent is thus to provide a brief tour of the statistical terrain by introducing concepts and issues important to the work of policy professionals, illustrating the use of a variety of statistical methods, discussing factors that influence the choice of methods, and offering some advice on how to avoid pitfalls in the analysis of quantitative data. Concepts are presented in a nontechnical way by avoiding computational procedures, except for a few illustrations, and by avoiding a rigorous discussion of assumptions that underlie statistical methods.
Data Analysis for Policy Research
Public policy and data analysts assist elected decision-makers in their deliberative process by furnishing analytical information on issues and options under consideration. Many diverse methodologies are needed to develop sound and timely answers to the questions that are posed by the Congress, state governments, and other governmental bodies. This book on quantitative data analysis deals with information expressed as numbers, as opposed to words, and is about statistical analysis in particular because most numerical analyses by policy researchers are of that form. The intended reader is the student in introductory to intermediate data or policy analysis courses and the practicing professional policy generalist. While offering a comprehensive treatment on the topics of data and policy analysis, this book is not specifically intended for statisticians or other experts on evaluation design and methodology, though it certainly offers enough substance to act as a handy reference for these professionals.
Primarily, this book aims to bridge the communications gap between generalist and specialist, helping the generalist evaluator be a wiser consumer of technical advice and helping report reviewers be more sensitive to the potential for methodological errors. The intent is thus to provide a brief tour of the statistical terrain by introducing concepts and issues important to the work of policy professionals, illustrating the use of a variety of statistical methods, discussing factors that influence the choice of methods, and offering some advice on how to avoid pitfalls in the analysis of quantitative data. Concepts are presented in a nontechnical way by avoiding computational procedures, except for a few illustrations, and by avoiding a rigorous discussion of assumptions that underlie statistical methods.
Primarily, this book aims to bridge the communications gap between generalist and specialist, helping the generalist evaluator be a wiser consumer of technical advice and helping report reviewers be more sensitive to the potential for methodological errors. The intent is thus to provide a brief tour of the statistical terrain by introducing concepts and issues important to the work of policy professionals, illustrating the use of a variety of statistical methods, discussing factors that influence the choice of methods, and offering some advice on how to avoid pitfalls in the analysis of quantitative data. Concepts are presented in a nontechnical way by avoiding computational procedures, except for a few illustrations, and by avoiding a rigorous discussion of assumptions that underlie statistical methods.
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Data Analysis for Policy Research
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Data Analysis for Policy Research
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Product Details
BN ID: | 2940016438023 |
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Publisher: | Capitol Hill Press |
Publication date: | 05/06/2013 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 1 MB |
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