Probability And Social Science

Author : Daniel Courgeau
Publisher : Springer Science & Business Media
Page : 333 pages
File Size : 49,9 Mb
Release : 2012-02-22
Category : Social Science
ISBN : 9789400728790

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Probability and Social Science by Daniel Courgeau Pdf

This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.

Author : Ralph E. S. Tanner
Publisher : Concept Publishing Company
Page : 368 pages
File Size : 41,6 Mb
Release : 2011
Category : Chance
ISBN : 8180697290

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Chance and Probability by Ralph E. S. Tanner Pdf

Author : William Lee Hays
Publisher : Unknown
Page : 988 pages
File Size : 49,5 Mb
Release : 1973
Category : Mathematics
ISBN : UOM:39015015285102

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Statistics for the Social Sciences by William Lee Hays Pdf

Author : Simon Jackman
Publisher : John Wiley & Sons
Page : 598 pages
File Size : 42,7 Mb
Release : 2009-10-27
Category : Mathematics
ISBN : 0470686634

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Bayesian Analysis for the Social Sciences by Simon Jackman Pdf

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.

Author : Lyman Ott,Richard F. Larson,William Mendenhall
Publisher : Brooks/Cole
Page : 602 pages
File Size : 42,8 Mb
Release : 1987
Category : Social sciences
ISBN : UCSC:32106019463600

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Statistics by Lyman Ott,Richard F. Larson,William Mendenhall Pdf

A well-developed and organized introductory statistics text, which has specific applications and relevance to the social sciences. The only mathematical background required is an understanding of the use of basic mathematical formulae.

Author : Norman R. Kurtz
Publisher : Prentice Hall
Page : 410 pages
File Size : 46,9 Mb
Release : 1999
Category : Business & Economics
ISBN : NWU:35556027822329

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Statistical Analysis for the Social Sciences by Norman R. Kurtz Pdf

People are bombarded with statistical data every day, but not many have had training in how to interpret or analyze this information. Kurtz's accessible writing style provides a basic yet sophisticated introduction to understanding and analyzing statistical applications. The book gives careful attention to the flow of ideas and concepts so there is a stream of logic which flows throughout, adding to the book's readability. The book begins with a discussion of methods for describing the distribution of a variable. The introduction of probability avoids the traditional discussion of the basic laws of probability, providing instead an explanation which can be directly applied in the everyday use of statistical probability. The discussion of the book is focused primarily on the relationship of probability to outcomes. Sociologists, psychologists, social workers, political scientists, educators, as well as anyone who wants to analyze data.

Author : Goldberg
Publisher : Birkhauser
Page : 144 pages
File Size : 51,8 Mb
Release : 1983-01-01
Category : Mathematics
ISBN : 0817631283

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Probability in Social Science by Goldberg Pdf

Author : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 55,9 Mb
Release : 2022-11-29
Category : Computers
ISBN : 9780691199436

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Data Analysis for Social Science by Elena Llaudet,Kosuke Imai Pdf

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Author : David Kaplan
Publisher : Guilford Publications
Page : 275 pages
File Size : 54,9 Mb
Release : 2023-10-02
Category : Social Science
ISBN : 9781462553556

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Bayesian Statistics for the Social Sciences by David Kaplan Pdf

The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayesian workflow for statistical modeling. Clearly explaining frequentist and epistemic probability and prior distributions, the second edition emphasizes use of the open-source RStan software package. The text covers Hamiltonian Monte Carlo, Bayesian linear regression and generalized linear models, model evaluation and comparison, multilevel modeling, models for continuous and categorical latent variables, missing data, and more. Concepts are fully illustrated with worked-through examples from large-scale educational and social science databases, such as the Program for International Student Assessment and the Early Childhood Longitudinal Study. Annotated RStan code appears in screened boxes; the companion website (www.guilford.com/kaplan-materials) provides data sets and code for the book's examples. New to This Edition *Utilizes the R interface to Stan--faster and more stable than previously available Bayesian software--for most of the applications discussed. *Coverage of Hamiltonian MC; Cromwell’s rule; Jeffreys' prior; the LKJ prior for correlation matrices; model evaluation and model comparison, with a critique of the Bayesian information criterion; variational Bayes as an alternative to Markov chain Monte Carlo (MCMC) sampling; and other new topics. *Chapters on Bayesian variable selection and sparsity, model uncertainty and model averaging, and Bayesian workflow for statistical modeling.

Author : Daniel Courgeau
Publisher : Springer Science & Business Media
Page : 333 pages
File Size : 51,5 Mb
Release : 2012-02-23
Category : Social Science
ISBN : 9789400728783

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Probability and Social Science by Daniel Courgeau Pdf

This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.

Author : S. Goldberg
Publisher : Springer Science & Business Media
Page : 127 pages
File Size : 44,7 Mb
Release : 2012-12-06
Category : Social Science
ISBN : 9781461256168

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Probability in Social Science by S. Goldberg Pdf

Birkhauser Boston, Inc., will publish a series of carefully selected mono graphs in the area of mathematical modeling to present serious applications of mathematics for both the undergraduate and the professional audience. Some of the monographs to be selected and published will appeal more to the professional mathematician and user of mathematics, serving to familiarize the user with new models and new methods. Some, like the present monograph, will stress the educational aspect and will appeal more to a student audience, either as a textbook or as additional reading. We feel that this first volume in the series may in itself serve as a model for our program. Samuel Goldberg attaches a high priority to teaching stu dents the art of modeling, that is, to use his words, the art of constructing useful mathematical models of real-world phenomena. We concur. It is our strong conviction as editors that the connection between the actual problems and their mathematical models must be factually plausible, if not actually real. As this first volume in the new series goes to press, we invite its readers to share with us both their criticisms and their constructive suggestions.

Author : Nikolaj Malchow-Møller,Allan Würtz
Publisher : Gyldendal Akademisk
Page : 0 pages
File Size : 49,8 Mb
Release : 2016
Category : Social Science
ISBN : 8741256913

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An Insight Into Statistics by Nikolaj Malchow-Møller,Allan Würtz Pdf

An insight into statistics is a comprehensive introduction to probability theory and statistical methods in the social sciences. The book forms the basis for empirical studies within disciplines such as economics, sociology and political science. The practical approach is illustrated by systematic review of all phrases of a study from sampling and data collection to processing and interpretation. Each chapter ends with assignments that test your understanding of both the theory and the practical methods."

Author : Sean Gailmard
Publisher : Cambridge University Press
Page : 393 pages
File Size : 41,6 Mb
Release : 2014-06-09
Category : Business & Economics
ISBN : 9781107003149

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Statistical Modeling and Inference for Social Science by Sean Gailmard Pdf

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.

Author : Alan Agresti,Barbara Finlay
Publisher : Prentice Hall
Page : 632 pages
File Size : 43,9 Mb
Release : 2009
Category : Business & Economics
ISBN : UOM:39015082731699

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Statistical Methods for the Social Sciences by Alan Agresti,Barbara Finlay Pdf

The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

Author : Michael W. Oakes
Publisher : Unknown
Page : 208 pages
File Size : 54,5 Mb
Release : 1986
Category : Mathematics
ISBN : STANFORD:36105040488681

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Statistical Inference by Michael W. Oakes Pdf

This book is about the way in which statistical inference is employed in social and behavioural research. It does not outline techniques but is a commentary upon them - an analysis of their proper role, their logic and their abuse.