Regression Analysis For Social Sciences

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Regression Analysis for the Social Sciences

Author : Rachel A. Gordon
Publisher : Routledge
ISBN 13 : 1317607104
Total Pages : 553 pages
Book Rating : 4.3/5 (176 download)

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Book Synopsis Regression Analysis for the Social Sciences by : Rachel A. Gordon

Download or read book Regression Analysis for the Social Sciences written by Rachel A. Gordon and published by Routledge. This book was released on 2015-03-17 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: •interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. •thorough integration of teaching statistical theory with teaching data processing and analysis. •teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

Regression Analysis for Social Sciences

Author : Alexander von Eye
Publisher : Academic Press
ISBN 13 : 9780127249551
Total Pages : 386 pages
Book Rating : 4.2/5 (495 download)

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Book Synopsis Regression Analysis for Social Sciences by : Alexander von Eye

Download or read book Regression Analysis for Social Sciences written by Alexander von Eye and published by Academic Press. This book was released on 1998-07-09 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text. Presents accessible methods of regression analysis Includes a broad spectrum of methods Techniques are explained step-by-step Provides sample command and result files for SYSTAT

Understanding Regression Analysis

Author : Larry D. Schroeder
Publisher : SAGE
ISBN 13 : 9780803927582
Total Pages : 100 pages
Book Rating : 4.9/5 (275 download)

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Book Synopsis Understanding Regression Analysis by : Larry D. Schroeder

Download or read book Understanding Regression Analysis written by Larry D. Schroeder and published by SAGE. This book was released on 1986-04 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing beginners with a background to the frequently-used technique of linear regression, this text provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.

Regression Analysis for Categorical Moderators

Author : Herman Aguinis
Publisher : Guilford Press
ISBN 13 : 9781572309692
Total Pages : 230 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Regression Analysis for Categorical Moderators by : Herman Aguinis

Download or read book Regression Analysis for Categorical Moderators written by Herman Aguinis and published by Guilford Press. This book was released on 2004-01-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does the stability of personality vary by gender or ethnicity? Does a particular therapy work better to treat clients with one type of personality disorder than those with another? Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group membership through the use of a statistical technique, moderated multiple regression (MMR). Clearly written, the book requires only basic knowledge of inferential statistics. It helps students, researchers, and practitioners determine whether a particular intervention is likely to yield dissimilar outcomes for members of various groups. Associated computer programs and data sets are available at the author's website (http: //mypage.iu.edu/ haguinis/mmr).

The SAGE Handbook of Regression Analysis and Causal Inference

Author : Henning Best
Publisher : SAGE
ISBN 13 : 1473908353
Total Pages : 425 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis The SAGE Handbook of Regression Analysis and Causal Inference by : Henning Best

Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′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.

Understanding Regression Analysis

Author : Larry D. Schroeder
Publisher : SAGE Publications
ISBN 13 : 1506361617
Total Pages : 122 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Understanding Regression Analysis by : Larry D. Schroeder

Download or read book Understanding Regression Analysis written by Larry D. Schroeder and published by SAGE Publications. This book was released on 2016-11-08 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E. Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.

Quantitative Social Science

Author : Kosuke Imai
Publisher : Princeton University Press
ISBN 13 : 0691191093
Total Pages : 464 pages
Book Rating : 4.6/5 (911 download)

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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"--

Regression Analysis

Author : Richard A. Berk
Publisher : SAGE
ISBN 13 : 9780761929048
Total Pages : 286 pages
Book Rating : 4.9/5 (29 download)

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Book Synopsis Regression Analysis by : Richard A. Berk

Download or read book Regression Analysis written by Richard A. Berk and published by SAGE. This book was released on 2004 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: PLEASE UPDATE SAGE INDIA AND SAGE UK ADDRESSES ON IMPRINT PAGE.

Theory-Based Data Analysis for the Social Sciences

Author : Carol S. Aneshensel
Publisher : SAGE
ISBN 13 : 1412994357
Total Pages : 473 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Theory-Based Data Analysis for the Social Sciences by : Carol S. Aneshensel

Download or read book Theory-Based Data Analysis for the Social Sciences written by Carol S. Aneshensel and published by SAGE. This book was released on 2013 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.

Data Analysis for Social Science

Author : Elena Llaudet
Publisher : Princeton University Press
ISBN 13 : 0691199434
Total Pages : 256 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Data Analysis for Social Science by : Elena Llaudet

Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-11-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Spatial Regression Models for the Social Sciences

Author : Guangqing Chi
Publisher : SAGE Publications
ISBN 13 : 1544302053
Total Pages : 229 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Spatial Regression Models for the Social Sciences by : Guangqing Chi

Download or read book Spatial Regression Models for the Social Sciences written by Guangqing Chi and published by SAGE Publications. This book was released on 2019-03-06 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us.

Regression Analysis and Linear Models

Author : Richard B. Darlington
Publisher : Guilford Publications
ISBN 13 : 1462527981
Total Pages : 689 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Regression Analysis and Linear Models by : Richard B. Darlington

Download or read book Regression Analysis and Linear Models written by Richard B. Darlington and published by Guilford Publications. This book was released on 2016-08-22 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Regression Models for Categorical and Limited Dependent Variables

Author : J. Scott Long
Publisher : SAGE
ISBN 13 : 9780803973749
Total Pages : 334 pages
Book Rating : 4.9/5 (737 download)

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Book Synopsis Regression Models for Categorical and Limited Dependent Variables by : J. Scott Long

Download or read book Regression Models for Categorical and Limited Dependent Variables written by J. Scott Long and published by SAGE. This book was released on 1997-01-09 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.

Interaction Effects in Multiple Regression

Author : James Jaccard
Publisher : SAGE Publications
ISBN 13 : 1544332572
Total Pages : 108 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Interaction Effects in Multiple Regression by : James Jaccard

Download or read book Interaction Effects in Multiple Regression written by James Jaccard and published by SAGE Publications. This book was released on 2003-03-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis.

Semiparametric Regression for the Social Sciences

Author : Luke John Keele
Publisher : John Wiley & Sons
ISBN 13 : 9780470998120
Total Pages : 230 pages
Book Rating : 4.9/5 (981 download)

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Book Synopsis Semiparametric Regression for the Social Sciences by : Luke John Keele

Download or read book Semiparametric Regression for the Social Sciences written by Luke John Keele and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. It also demonstrates the potential of these techniques using detailed empirical examples drawn from the social and political sciences. Each chapter includes exercises and examples and there is a supplementary website containing all the datasets used, as well as computer code, allowing readers to replicate every analysis reported in the book. Includes software for implementing the methods in S-Plus and R.

Quantile Regression

Author : Lingxin Hao
Publisher : SAGE Publications
ISBN 13 : 1483316904
Total Pages : 142 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Quantile Regression by : Lingxin Hao

Download or read book Quantile Regression written by Lingxin Hao and published by SAGE Publications. This book was released on 2007-04-18 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantile Regression, the first book of Hao and Naiman′s two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research

Logistic Regression

Author : Fred C. Pampel
Publisher : SAGE
ISBN 13 : 9780761920106
Total Pages : 98 pages
Book Rating : 4.9/5 (21 download)

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Book Synopsis Logistic Regression by : Fred C. Pampel

Download or read book Logistic Regression written by Fred C. Pampel and published by SAGE. This book was released on 2000-05-26 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trying to determine when to use a logistic regression and how to interpret the coefficients? Frustrated by the technical writing in other books on the topic? Pampel's book offers readers the first "nuts and bolts" approach to doing logist