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A Quantitative Tour Of The Social Sciences
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Book Synopsis A Quantitative Tour of the Social Sciences by : Andrew Gelman
Download or read book A Quantitative Tour of the Social Sciences written by Andrew Gelman and published by Cambridge University Press. This book was released on 2009-04-06 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social scientists become experts in their own disciplines but aren't always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would benefit from understanding how models are tested in psychology, historians should learn how political processes are studied, psychologists should understand sociological theories, and so forth. This overview by prominent social scientists gives an accessible, non-technical sense of how quantitative research is done in different areas. Readers will find out about models and ways of thinking in economics, history, sociology, political science, and psychology, which in turn they can bring back to their own work.
Book Synopsis A Quantitative Tour of the Social Sciences by : Cortina Jeronimo Gelman Andrew
Download or read book A Quantitative Tour of the Social Sciences written by Cortina Jeronimo Gelman Andrew and published by . This book was released on 2014-05-14 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This overview gives an accessible, non-technical sense of how quantitative research is done in the social sciences. Upon finishing this book, the reader should have a sense of the different models and different ways of thinking in economics, history, sociology, political science and psychology.
Book Synopsis Quantitative Social Science by : Kosuke Imai
Download or read book Quantitative Social Science written by Kosuke Imai and published by Princeton University Press. This book was released on 2021-03-16 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
Book Synopsis Doing Quantitative Research in the Social Sciences by : Thomas R Black
Download or read book Doing Quantitative Research in the Social Sciences written by Thomas R Black and published by SAGE. This book was released on 1999-03-30 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
Book Synopsis Quantitative Methods for the Social Sciences by : Daniel Stockemer
Download or read book Quantitative Methods for the Social Sciences written by Daniel Stockemer and published by Springer. This book was released on 2018-11-19 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Book Synopsis The SAGE Handbook of Quantitative Methodology for the Social Sciences by : David Kaplan
Download or read book The SAGE Handbook of Quantitative Methodology for the Social Sciences written by David Kaplan and published by SAGE. This book was released on 2004-06-21 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
Book Synopsis The Reviewer’s Guide to Quantitative Methods in the Social Sciences by : Gregory R. Hancock
Download or read book The Reviewer’s Guide to Quantitative Methods in the Social Sciences written by Gregory R. Hancock and published by Routledge. This book was released on 2010-04-26 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.
Book Synopsis Applied Quantitative Analysis in Education and the Social Sciences by : Yaacov Petscher
Download or read book Applied Quantitative Analysis in Education and the Social Sciences written by Yaacov Petscher and published by Routledge. This book was released on 2013-03-05 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.
Download or read book Time Counts written by Gregory Wawro and published by Princeton University Press. This book was released on 2022-05-03 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to study the past using data Quantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past. Traditional statistical methods have been inadequate in addressing temporality, periodicity, specificity, and context—features central to good historical analysis. To address these shortcomings, Wawro and Katznelson argue for the application of alternative approaches that are particularly well-suited to incorporating these features in empirical investigations. The authors demonstrate the advantages of these techniques with replications of research that locate structural breaks and uncover temporal evolution. They develop new practices for testing claims about path dependence in time-series data, and they discuss the promise and perils of using historical approaches to enhance causal inference. Opening a dialogue among traditional qualitative scholars and applied quantitative social scientists focusing on history, Quantitative Analysis for Historical Social Science illustrates powerful ways to move historical social science research forward.
Book Synopsis Multi-Method Social Science by : Jason Seawright
Download or read book Multi-Method Social Science written by Jason Seawright and published by Cambridge University Press. This book was released on 2016-09-08 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the first systematic guide to designing multi-method research, considering a wide range of statistical and qualitative tools.
Book Synopsis Quantitative Social Science Data with R by : Brian J. Fogarty
Download or read book Quantitative Social Science Data with R written by Brian J. Fogarty and published by SAGE. This book was released on 2018-11-24 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
Book Synopsis A Tale of Two Cultures by : Gary Goertz
Download or read book A Tale of Two Cultures written by Gary Goertz and published by Princeton University Press. This book was released on 2012-09-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.
Book Synopsis Internet Data Collection by : Samuel J. Best
Download or read book Internet Data Collection written by Samuel J. Best and published by SAGE. This book was released on 2004-04-29 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet has emerged as a popular medium for collecting data because of its ability to access millions of users, facilitate an array of research designs, & efficiently deliver & compile questionnaires. This volume offers advice on how to utilize the power of the Internet efficiently.
Download or read book Calculus written by Gudmund R. Iversen and published by SAGE. This book was released on 1996-01-18 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This overview of the central ideas of calculus provides many examples of how calculus is used to translate many real world phenomena into mathematical functions.
Book Synopsis A Quantitative Tour of the Social Sciences by : Andrew Gelman
Download or read book A Quantitative Tour of the Social Sciences written by Andrew Gelman and published by Cambridge University Press. This book was released on 2009-04-06 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, prominent social scientists describe quantitative models in economics, history, sociology, political science, and psychology.
Book Synopsis Computational Modeling by : Charles S. Taber
Download or read book Computational Modeling written by Charles S. Taber and published by SAGE. This book was released on 1996-03-21 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this introduction to computational modelling the authors provide a concise description of computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools.
Book Synopsis Bayesian Statistics for the Social Sciences by : David Kaplan
Download or read book Bayesian Statistics for the Social Sciences written by David Kaplan and published by Guilford Publications. This book was released on 2023-10-02 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
