Data Analysis for Politics and Policy
Title | Data Analysis for Politics and Policy PDF eBook |
Author | Edward R. Tufte |
Publisher | Prentice Hall |
Pages | 200 |
Release | 1974 |
Genre | Political Science |
ISBN |
Introduction to data analysis; Predictions and projections: some issues of research design; Two-variable linear regression; Multiple regression.
Public Policy Analytics
Title | Public Policy Analytics PDF eBook |
Author | Ken Steif |
Publisher | CRC Press |
Pages | 229 |
Release | 2021-08-18 |
Genre | Business & Economics |
ISBN | 100040157X |
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.
Data Analysis for Business, Economics, and Policy
Title | Data Analysis for Business, Economics, and Policy PDF eBook |
Author | Gábor Békés |
Publisher | Cambridge University Press |
Pages | 741 |
Release | 2021-05-06 |
Genre | Business & Economics |
ISBN | 1108483011 |
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Data and Policy Change
Title | Data and Policy Change PDF eBook |
Author | David Dery |
Publisher | Springer Science & Business Media |
Pages | 168 |
Release | 2013-11-11 |
Genre | Political Science |
ISBN | 940092187X |
This is a work on "hostile" data and the conditions under which they are accepted and rejected. What is the place of data in politics and organization? Why are politicians and administrators so often hostile to research data, or why do they tend to perceive data as hostile to them? How can data become relevant to policy? These questions are the focus of this book. In answer I try to show how political and administrative institutions cope with "hostile" data; how they seek to maintain closedness to disconfirming data, and how they are led, in a free society, to change their policies despite the epistemological bias in favor of the already known and the initial inclination to resist change. At the same time, I demonstrate that data producers must learn that while their research findings may be subjected to science's own standards of verifiability, such data must also meet standards of contestability by the various interests involved in political and administrative decisions. The production and "appropriate" publication of a research report may at best buy one an admission ticket to participate in political and administrative contests, but not the power nor the justification to determine the outcomes of the contest. I begin with two hypotheses: Hypothesis 1: Politicians or administrators reject data that do not coincide with behavior they are unwilling to change. Hypothesis II: Politicians or administrators change behavior that does not coincide with data they are unwilling to reject.
Introduction to Data Science for Social and Policy Research
Title | Introduction to Data Science for Social and Policy Research PDF eBook |
Author | Jose Manuel Magallanes Reyes |
Publisher | Cambridge University Press |
Pages | 317 |
Release | 2017-09-21 |
Genre | Computers |
ISBN | 1107117410 |
This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.
Analytics, Policy, and Governance
Title | Analytics, Policy, and Governance PDF eBook |
Author | Jennifer Bachner |
Publisher | Yale University Press |
Pages | 272 |
Release | 2017-01-01 |
Genre | Political Science |
ISBN | 0300208391 |
Cover -- Half-title -- Title -- Copyright -- Contents -- Introduction -- PART I: ENGAGING THE DATA -- 1 Measuring Political and Policy Preferences Using Item Response Scaling -- 2 Causal Inference with Observational Data -- 3 Causal Inference with Experimental Data -- PART II: EMERGING DATA SOURCES AND TECHNIQUES -- 4 Descriptive Network Analysis: Interest Group Lobbying Dynamics Around Immigration Policy -- 5 Learning from Place in the Era of Geolocation -- 6 Text Analysis: Estimating Policy Preferences from Written and Spoken Words -- 7 Machine Learning and Governance -- PART III: IMPLICATIONS FOR GOVERNANCE -- 8 Governing a Data-Driven Society -- 9 Big Data and Privacy -- 10 Reflections on Analytics: Knowledge and Power -- List of Contributors -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y
Text as Data
Title | Text as Data PDF eBook |
Author | Justin Grimmer |
Publisher | Princeton University Press |
Pages | 360 |
Release | 2022-03-29 |
Genre | Computers |
ISBN | 0691207550 |
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry