The Sage Handbook Of Regression Analysis And Causal Inference

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The SAGE Handbook of Regression Analysis and Causal Inference

Author : Henning Best,Christof Wolf
Publisher : SAGE
Page : 424 pages
File Size : 43,6 Mb
Release : 2014-09-27
Category : Reference
ISBN : 9781473908352

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The SAGE Handbook of Regression Analysis and Causal Inference by Henning Best,Christof Wolf Pdf

'The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.' - John Fox, Professor, Department of Sociology, McMaster University 'The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.' - Ben Jann, Executive Director, Institute of Sociology, University of Bern 'Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.' -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

The Sage Handbook of Regression Analysis and Causal Inference

Author : Henning Best
Publisher : Unknown
Page : 425 pages
File Size : 55,8 Mb
Release : 2024-06-01
Category : Causation
ISBN : 1446288145

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The Sage Handbook of Regression Analysis and Causal Inference by Henning Best Pdf

Edited and written by a team of leading international social scientists, this handbook provides a comprehensive introduction to multivariate methods. It focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities.

Regression Analysis

Author : Richard A. Berk
Publisher : SAGE
Page : 281 pages
File Size : 55,5 Mb
Release : 2004
Category : Social Science
ISBN : 9780761929048

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Regression Analysis by Richard A. Berk Pdf

PLEASE UPDATE SAGE INDIA AND SAGE UK ADDRESSES ON IMPRINT PAGE.

The SAGE Handbook of Multilevel Modeling

Author : Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx
Publisher : SAGE
Page : 745 pages
File Size : 45,7 Mb
Release : 2013-08-31
Category : Social Science
ISBN : 9781473971318

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The SAGE Handbook of Multilevel Modeling by Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx Pdf

In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

Applied Regression

Author : Colin Lewis-Beck,Michael Lewis-Beck
Publisher : SAGE Publications
Page : 71 pages
File Size : 48,7 Mb
Release : 2015-06-18
Category : Social Science
ISBN : 9781483381497

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Applied Regression by Colin Lewis-Beck,Michael Lewis-Beck Pdf

Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. The authors then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.

Applied Regression Analysis

Author : Christer Thrane
Publisher : Routledge
Page : 192 pages
File Size : 52,9 Mb
Release : 2019-10-16
Category : Business & Economics
ISBN : 9780429813030

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Applied Regression Analysis by Christer Thrane Pdf

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book’s accessible approach is recommended for students from across the social sciences.

Statistical Approaches to Causal Analysis

Author : Matthew McBee
Publisher : SAGE
Page : 178 pages
File Size : 49,9 Mb
Release : 2022-03-01
Category : Social Science
ISBN : 9781529711110

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Statistical Approaches to Causal Analysis by Matthew McBee Pdf

This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

Author : David Kaplan
Publisher : SAGE
Page : 532 pages
File Size : 49,8 Mb
Release : 2004-06-21
Category : Reference
ISBN : 0761923594

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The SAGE Handbook of Quantitative Methodology for the Social Sciences by David Kaplan Pdf

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.

Handbook of Data Analysis

Author : Melissa A Hardy,Alan Bryman
Publisher : SAGE
Page : 728 pages
File Size : 51,5 Mb
Release : 2009-06-17
Category : Social Science
ISBN : 9781446203446

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Handbook of Data Analysis by Melissa A Hardy,Alan Bryman Pdf

Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

Handbook of Health Inequalities Across the Life Course

Author : Rasmus Hoffmann
Publisher : Edward Elgar Publishing
Page : 435 pages
File Size : 50,5 Mb
Release : 2023-01-20
Category : Social Science
ISBN : 9781800888166

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Handbook of Health Inequalities Across the Life Course by Rasmus Hoffmann Pdf

The development of health across an individual’s life depends on many factors, but social determinants play a vital role. This timely Handbook simultaneously uses theoretical, descriptive, explanatory and policy approaches to explore health inequalities related to income, education, occupational status, social capital, and also biological and genetic factors.

The SAGE Handbook of Innovation in Social Research Methods

Author : Malcolm Williams,W Paul Vogt
Publisher : SAGE Publications
Page : 665 pages
File Size : 42,8 Mb
Release : 2011-04-19
Category : Social Science
ISBN : 9781412946483

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The SAGE Handbook of Innovation in Social Research Methods by Malcolm Williams,W Paul Vogt Pdf

Social research is a bourgeoning field. Of course it has many traditions and approaches, but there is a high premium upon thinking differently and thinking anew because social life is never static or wholly predictable. The Handbook, edited by internationally recognized scholars, provides a comprehensive, pitch-perfect critical assessment of the field. The main features of the Handbook are: Clear organization into 4 parts dealing with The Social Context of Research; Design and Data Collection; Integrating The Analysis of New Data Types; Sampling, Inference and Measurement Clear, cutting edge chapters on Objectivity; Causation; Organizing Social Research; Correspondence Analysis; Grounded Theory; Conversational Surveys; Mixed Methods; Meta-Analysis; Optimal Matching Analysis; GIS Analysis; Quantitative Narrative Analysis; Longitudinal Studies; SEM; MLM; Qualitative Comparative Analysis; Respondent Driven Sampling Brings together a glittering assembly of the key figures working in the field of research methods Demonstrates the continuities and productive tensions between classical traditions and real world research. The result is a superbly organized text which will be required reading for anyone interested in the routes and future of social research. It is an unparalleled teaching resource and a 'must have' for serious social researchers.

Applied Regression

Author : Michael Lewis-Beck
Publisher : SAGE Publications, Incorporated
Page : 88 pages
File Size : 48,8 Mb
Release : 1980-08
Category : Social Science
ISBN : STANFORD:36105038914680

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Applied Regression by Michael Lewis-Beck Pdf

Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy variables.

The SAGE Handbook of Research Methods in Political Science and International Relations

Author : Luigi Curini,Robert Franzese
Publisher : SAGE
Page : 1861 pages
File Size : 52,7 Mb
Release : 2020-04-09
Category : Political Science
ISBN : 9781526486394

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The SAGE Handbook of Research Methods in Political Science and International Relations by Luigi Curini,Robert Franzese Pdf

The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions & Designing Good Research Projects Part Two: Methods of Theoretical Argumentation Part Three: Conceptualization & Measurement Part Four: Large-Scale Data Collection & Representation Methods Part Five: Quantitative-Empirical Methods Part Six: Qualitative & "Mixed" Methods

Causal Analysis with Panel Data

Author : Steven E. Finkel
Publisher : SAGE
Page : 108 pages
File Size : 47,8 Mb
Release : 1995-01-17
Category : Medical
ISBN : 0803938969

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Causal Analysis with Panel Data by Steven E. Finkel Pdf

Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.

Advanced Statistics for Testing Assumed Causal Relationships

Author : Hooshang Nayebi
Publisher : Springer Nature
Page : 125 pages
File Size : 54,7 Mb
Release : 2020-08-15
Category : Mathematics
ISBN : 9783030547547

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Advanced Statistics for Testing Assumed Causal Relationships by Hooshang Nayebi Pdf

This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.