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Identification Problems In The Social Sciences


Identification Problems In The Social Sciences
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Identification Problems In The Social Sciences


Identification Problems In The Social Sciences
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Author : Charles F. Manski
language : en
Publisher: Harvard University Press
Release Date : 1999-03-15

Identification Problems In The Social Sciences written by Charles F. Manski and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-15 with Business & Economics categories.


This book provides a language and a set of tools for finding bounds on the predictions that social and behavioral scientists can logically make from nonexperimental and experimental data. The economist Charles Manski draws on examples from criminology, demography, epidemiology, social psychology, and sociology as well as economics to illustrate this language and to demonstrate the broad usefulness of the tools. There are many traditional ways to present identification problems in econometrics, sociology, and psychometrics. Some of these are primarily statistical in nature, using concepts such as flat likelihood functions and nondistinct parameter estimates. Manski's strategy is to divorce identification from purely statistical concepts and to present the logic of identification analysis in ways that are accessible to a wide audience in the social and behavioral sciences. In each case, problems are motivated by real examples with real policy importance, the mathematics is kept to a minimum, and the deductions on identifiability are derived giving fresh insights. Manski begins with the conceptual problem of extrapolating predictions from one population to some new population or to the future. He then analyzes in depth the fundamental selection problem that arises whenever a scientist tries to predict the effects of treatments on outcomes. He carefully specifies assumptions and develops his nonparametric methods of bounding predictions. Manski shows how these tools should be used to investigate common problems such as predicting the effect of family structure on children's outcomes and the effect of policing on crime rates. Successive chapters deal with topics ranging from the use of experiments to evaluate social programs, to the use of case-control sampling by epidemiologists studying the association of risk factors and disease, to the use of intentions data by demographers seeking to predict future fertility. The book closes by examining two central identification problems in the analysis of social interactions: the classical simultaneity problem of econometrics and the reflection problem faced in analyses of neighborhood and contextual effects.



Identification For Prediction And Decision


Identification For Prediction And Decision
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Author : Charles F. Manski
language : en
Publisher: Harvard University Press
Release Date : 2009-06-30

Identification For Prediction And Decision written by Charles F. Manski and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-30 with Psychology categories.


This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements. Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behavior. Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.



Applied Multivariate Statistics For The Social Sciences Fifth Edition


Applied Multivariate Statistics For The Social Sciences Fifth Edition
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Author : James P. Stevens
language : en
Publisher: Routledge
Release Date : 2012-11-12

Applied Multivariate Statistics For The Social Sciences Fifth Edition written by James P. Stevens and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Education categories.


This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.



The Oxford Handbook Of Philosophy Of Social Science


The Oxford Handbook Of Philosophy Of Social Science
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Author : Harold Kincaid
language : en
Publisher: Oxford University Press
Release Date : 2012-08-23

The Oxford Handbook Of Philosophy Of Social Science written by Harold Kincaid and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-23 with Business & Economics categories.


The philosophy of the social sciences considers the underlying explanatory powers of the social (or human) sciences, such as history, economics, anthropology, politics, and sociology. The type of questions covered includes the methodological (the nature of observations, laws, theories, and explanations) to the ontological — whether or not these sciences can explain human nature in a way consistent with common-sense beliefs. This Handbook is a major, comprehensive look at the key ideas in the field, is guided by several principles. The first is that the philosophy of social science should be closely connected to, and informed by, developments in the sciences themselves. The second is that the volume should appeal to practicing social scientists as well as philosophers, with the contributors being both drawn from both ranks, and speaking to ongoing controversial issues in the field. Finally, the volume promotes connections across the social sciences, with greater internal discussion and interaction across disciplinary boundaries.



The Sustainable University Of The Future


The Sustainable University Of The Future
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Author : Mariam Ali S A Al-Maadeed
language : en
Publisher: Springer Nature
Release Date : 2023-01-17

The Sustainable University Of The Future written by Mariam Ali S A Al-Maadeed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Science categories.


The Sustainable University of the Future discusses the rapid changes taking place within institutions of higher education—changes that have pushed universities to reconsider their traditional policies and plans. The book, which has its origins in the Qatar University Annual Research Forum and Exhibition (QUARFE) event “University of the Future” examines the many ways universities are trying to keep pace with this transformation, despite regional and international challenges. The book looks at the role of universities in meeting the United Nation's Sustainable Development Goals (SDGs), the impact of Industry 4.0, the social aspects of University 4.0, and the future of research-based universities. The need to adopt modern programs and tools is stressed, and ways to anticipate and plan for future challenges are explored.



Social Science Methodology


Social Science Methodology
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Author : John Gerring
language : en
Publisher: Cambridge University Press
Release Date : 2011-12-15

Social Science Methodology written by John Gerring and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-15 with Social Science categories.


John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material and a thorough treatment of essential elements such as conceptualization, measurement, causality and research design. It is written for students, long-time practitioners and methodologists and covers both qualitative and quantitative methods. It synthesizes the vast and diverse field of methodology in a way that is clear, concise and comprehensive. While offering a handy overview of the subject, the book is also an argument about how we should conceptualize methodological problems. Thinking about methodology through this lens provides a new framework for understanding work in the social sciences.



Self And Identity Fundamental Issues


Self And Identity Fundamental Issues
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Author : Richard D. Ashmore Professor of Psychology Rutgers University
language : en
Publisher: Oxford University Press, USA
Release Date : 1997-04-17

Self And Identity Fundamental Issues written by Richard D. Ashmore Professor of Psychology Rutgers University and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-17 with Social Science categories.


Self and identity have been important yet volatile notions in psychology since its formative years as a scientific discipline. Recently, psychologists and other social scientists have begun to develop and refine the conceptual and empirical tools for studying the complex nature of self. This volume presents a critical analysis of fundamental issues in the scientific study of self and identity. These chapters go much farther than merely taking stock of recent scientific progress. World-class social scientists from psychology, sociology and anthropology present new and contrasting perspectives on these fundamental issues. Topics include the personal versus social nature of self and identity, multiplicity of selves versus unity of identity, and the societal, cultural, and historical formation and expression of selves. These creative contributions provide new insights into the major issues involved in understanding self and identity. As the first volume in the Rutgers Series on Self and Social Identity, the book sets the stage for a productive second century of scientific analysis and heightened understanding of self and identity. Scholars and advanced students in the social sciences will find this highly informative and provocative reading. Dr. Richard D. Ashmore is a professor and Dr. Lee Jussim is an associate professor in the Department of Psychology at Rutgers University, New Brunswick, New Jersey.



Big Data Research For Social Sciences And Social Impact


Big Data Research For Social Sciences And Social Impact
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Author : Miltiadis D. Lytras
language : en
Publisher: MDPI
Release Date : 2020-03-19

Big Data Research For Social Sciences And Social Impact written by Miltiadis D. Lytras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Technology & Engineering categories.


A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.



Finding Your Social Science Project


Finding Your Social Science Project
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Author : John Gerring
language : en
Publisher: Cambridge University Press
Release Date : 2022-10-13

Finding Your Social Science Project written by John Gerring and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-13 with Reference categories.


A practical guide to finding your research topic, applicable to all fields of social science.



Social Choice With Partial Knowledge Of Treatment Response


Social Choice With Partial Knowledge Of Treatment Response
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Author : Charles F. Manski
language : en
Publisher: Princeton University Press
Release Date : 2005-10-30

Social Choice With Partial Knowledge Of Treatment Response written by Charles F. Manski and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-30 with Business & Economics categories.


"This book addresses key aspects of this broad question, exploring and partially resolving pervasive problems of identification and statistical inference that arise when studying treatment response and making treatment choices. Charles Manski addresses the treatment-choice problem directly using Abraham Wald's statistical decision theory, taking into account the ambiguity that arises from identification problems under weak but justifiable assumptions."--BOOK JACKET.