Advances In Social Science Research Using R

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Advances in Social Science Research Using R

Author : Hrishikesh D. Vinod
Publisher : Springer
Page : 205 pages
File Size : 42,5 Mb
Release : 2010-01-12
Category : Business & Economics
ISBN : 1441917632

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Advances in Social Science Research Using R by Hrishikesh D. Vinod Pdf

Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.

Advances in Social Science Research Using R

Author : Hrishikesh D. Vinod
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 47,6 Mb
Release : 2009-12-24
Category : Business & Economics
ISBN : 9781441917645

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Advances in Social Science Research Using R by Hrishikesh D. Vinod Pdf

Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.

Statistics for the Social Sciences

Author : R . Mark Sirkin
Publisher : SAGE Publications
Page : 632 pages
File Size : 41,8 Mb
Release : 2005-08-17
Category : Social Science
ISBN : 9781506318868

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Statistics for the Social Sciences by R . Mark Sirkin Pdf

Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Hands-on Intermediate Econometrics Using R: Templates For Learning Quantitative Methods And R Software (Second Edition)

Author : Hrishikesh D Vinod
Publisher : World Scientific
Page : 645 pages
File Size : 48,6 Mb
Release : 2022-04-08
Category : Business & Economics
ISBN : 9789811256196

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Hands-on Intermediate Econometrics Using R: Templates For Learning Quantitative Methods And R Software (Second Edition) by Hrishikesh D Vinod Pdf

How to learn both applied statistics (econometrics) and free, open-source software R? This book allows students to have a sense of accomplishment by copying and pasting many hands-on templates provided here.The textbook is essential for anyone wishing to have a practical understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with hands-on examples. The explicit knowledge of inputs and outputs of each new method allows the student to know which algorithm is worth studying. The book offers sufficient theoretical and algorithmic details about a vast range of statistical techniques.The second edition's preface lists the following topics generally absent in other textbooks. (i) Iteratively reweighted least squares, (ii) Pillar charts to represent 3D data. (iii) Stochastic frontier analysis (SFA) (iv) model selection with Mallows' Cp criterion. (v) Hodrick-Prescott (HP) filter. (vi) Automatic ARIMA models. (vi) Nonlinear Granger-causality using kernel regressions and bootstrap confidence intervals. (vii) new Keynesian Phillips curve (NKPC). (viii) Market-neutral pairs trading using two cointegrated stocks. (ix) Artificial neural network (ANN) for product-specific forecasting. (x) Vector AR and VARMA models. (xi) New tools for diagnosing the endogeneity problem. (xii) The elegant set-up of k-class estimators and identification. (xiii) Probit-logit models and Heckman selection bias correction. (xiv) Receiver operating characteristic (ROC) curves and areas under them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy bootstrap for time series. (xx) Convergence concepts quantified. (xxi) Generalized partial correlation coefficients (xxii) Panel data and duration (survival) models.

Handbook of Research Methods and Applications in Empirical Microeconomics

Author : Hashimzade, Nigar,Thornton, Michael A.
Publisher : Edward Elgar Publishing
Page : 672 pages
File Size : 48,7 Mb
Release : 2021-11-18
Category : Business & Economics
ISBN : 9781788976480

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Handbook of Research Methods and Applications in Empirical Microeconomics by Hashimzade, Nigar,Thornton, Michael A. Pdf

Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.

Evaluating Social Science Research

Author : Thomas R Black
Publisher : SAGE Publications Limited
Page : 200 pages
File Size : 41,7 Mb
Release : 1993
Category : Reference
ISBN : UOM:39015026868193

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Evaluating Social Science Research by Thomas R Black Pdf

Provides students with a basic introduction to assessing the meaning and validity of research in social sciences, education and related fields. The author explains in straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement.

Transparent and Reproducible Social Science Research

Author : Garret Christensen,Jeremy Freese,Edward Miguel
Publisher : University of California Press
Page : 266 pages
File Size : 53,8 Mb
Release : 2019-07-23
Category : Social Science
ISBN : 9780520296954

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Transparent and Reproducible Social Science Research by Garret Christensen,Jeremy Freese,Edward Miguel Pdf

Recently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound. Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems and are encouraged to work through new solutions and practices to improve the openness of their research. Created with both experienced and novice researchers in mind, Transparent and Reproducible Social Science Research serves as an indispensable resource for the production of high quality social science research.

Doing Quantitative Research in the Social Sciences

Author : Thomas R Black
Publisher : SAGE
Page : 768 pages
File Size : 42,6 Mb
Release : 1999-03-30
Category : Social Science
ISBN : 9781446223635

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Doing Quantitative Research in the Social Sciences by Thomas R Black Pdf

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.

Quantitative Social Science Data with R

Author : Brian J Fogarty
Publisher : Sage Publications Limited
Page : 0 pages
File Size : 43,5 Mb
Release : 2023-04-08
Category : Electronic
ISBN : 1529790468

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Quantitative Social Science Data with R by Brian J Fogarty Pdf

This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics

Applied Statistics Using R

Author : Mehmet Mehmetoglu,Matthias Mittner
Publisher : SAGE
Page : 465 pages
File Size : 41,6 Mb
Release : 2021-11-10
Category : Social Science
ISBN : 9781529766141

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Applied Statistics Using R by Mehmet Mehmetoglu,Matthias Mittner Pdf

If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.

Social Science Research

Author : Anol Bhattacherjee
Publisher : CreateSpace
Page : 156 pages
File Size : 52,8 Mb
Release : 2012-04-01
Category : Science
ISBN : 1475146124

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Social Science Research by Anol Bhattacherjee Pdf

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Understanding Social Science Research

Author : Thomas R Black
Publisher : SAGE
Page : 290 pages
File Size : 41,6 Mb
Release : 2002
Category : Social Science
ISBN : 0761973699

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Understanding Social Science Research by Thomas R Black Pdf

The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached? Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.

Resilience of Democracy

Author : Anna Lührmann,Wolfgang Merkel
Publisher : Taylor & Francis
Page : 187 pages
File Size : 53,7 Mb
Release : 2023-02-28
Category : Political Science
ISBN : 9781000842760

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Resilience of Democracy by Anna Lührmann,Wolfgang Merkel Pdf

Illiberalism and authoritarianism have become major threats to democracy across the world. In response to this development, research on the causes and processes of democratic declines has blossomed. Much less scholarly attention has been devoted to the issue of democratic resilience. Why are some democracies more resilient than others to the current trend of autocratization? What role do institutions, actors and structural factors play in this regard? What options do democratic actors have to address illiberal and authoritarian challenges? This book addresses all these questions. The present introduction sets the stage by developing a new concept of democratic resilience as the ability of a democratic system, its institutions, political actors, and citizens to prevent or react to external and internal challenges, stresses, and assaults. The book posits three potential reactions of democratic regimes: to withstand without changes, to adapt through internal changes, and to recover without losing the democratic character of its regime and its constitutive core institutions, organizations, and processes. The more democracies are resilient on all four levels of the political system (political community, institutions, actors, citizens) the less vulnerable they turn out to be in the present and future. This edited volume will be of great value to students, academics, and researchers interested in politics, political regimes and theories, democracy and democratization, autocracy and autocratization, polarization, social democracy, and comparative government. The chapters in this book were originally published as a special issue of Democratization.

Explanation in Causal Inference

Author : Tyler J. VanderWeele,Tyler VanderWeele
Publisher : Oxford University Press, USA
Page : 729 pages
File Size : 53,5 Mb
Release : 2015
Category : Medical
ISBN : 9780199325870

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Explanation in Causal Inference by Tyler J. VanderWeele,Tyler VanderWeele Pdf

The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and relations between mediation and other concepts involving intermediates such as surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book concerns interaction or "moderation," including concepts for interaction, statistical interaction, confounding and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic studies, and power and sample-size calculation for interaction. The final part of the book provides comprehensive discussion about the relationships between mediation and interaction and unites these concepts within a single framework.