Multilevel Modeling In Plain Language

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Multilevel Modeling in Plain Language

Author : Karen Robson
Publisher : SAGE
ISBN 13 : 1473934303
Total Pages : 166 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis Multilevel Modeling in Plain Language by : Karen Robson

Download or read book Multilevel Modeling in Plain Language written by Karen Robson and published by SAGE. This book was released on 2015-11-02 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.

Multilevel Modeling in Plain Language

Author : Karen Robson
Publisher :
ISBN 13 : 9781473920712
Total Pages : 152 pages
Book Rating : 4.9/5 (27 download)

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Book Synopsis Multilevel Modeling in Plain Language by : Karen Robson

Download or read book Multilevel Modeling in Plain Language written by Karen Robson and published by . This book was released on 2016 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.

Multilevel Modeling in Plain Language

Author : Karen Robson
Publisher : SAGE
ISBN 13 : 1473934311
Total Pages : 160 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis Multilevel Modeling in Plain Language by : Karen Robson

Download or read book Multilevel Modeling in Plain Language written by Karen Robson and published by SAGE. This book was released on 2015-11-02 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.

Multilevel Modeling

Author : G. David Garson
Publisher : SAGE Publications
ISBN 13 : 1544319282
Total Pages : 910 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Multilevel Modeling by : G. David Garson

Download or read book Multilevel Modeling written by G. David Garson and published by SAGE Publications. This book was released on 2019-07-31 with total page 910 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLMTM provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

Author : Joseph F. Hair, Jr.
Publisher : SAGE Publications
ISBN 13 : 1483377431
Total Pages : 385 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by : Joseph F. Hair, Jr.

Download or read book A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) written by Joseph F. Hair, Jr. and published by SAGE Publications. This book was released on 2016-02-29 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt is a practical guide that provides concise instructions on how to use partial least squares structural equation modeling (PLS-SEM), an evolving statistical technique, to conduct research and obtain solutions. Featuring the latest research, new examples using the SmartPLS software, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.

Applied Regression Modeling

Author : Iain Pardoe
Publisher : John Wiley & Sons
ISBN 13 : 1118345045
Total Pages : 372 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Applied Regression Modeling by : Iain Pardoe

Download or read book Applied Regression Modeling written by Iain Pardoe and published by John Wiley & Sons. This book was released on 2013-01-07 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.

Multilevel and Longitudinal Modeling with IBM SPSS

Author : Ronald H. Heck
Publisher : Routledge
ISBN 13 : 1135074240
Total Pages : 835 pages
Book Rating : 4.1/5 (35 download)

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Book Synopsis Multilevel and Longitudinal Modeling with IBM SPSS by : Ronald H. Heck

Download or read book Multilevel and Longitudinal Modeling with IBM SPSS written by Ronald H. Heck and published by Routledge. This book was released on 2013-08-22 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.

Applied Ordinal Logistic Regression Using Stata

Author : Xing Liu
Publisher : SAGE Publications
ISBN 13 : 1483319768
Total Pages : 372 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Applied Ordinal Logistic Regression Using Stata by : Xing Liu

Download or read book Applied Ordinal Logistic Regression Using Stata written by Xing Liu and published by SAGE Publications. This book was released on 2015-09-30 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step instructions, this non-technical, applied book leads students, applied researchers, and practitioners to a deeper understanding of statistical concepts by closely connecting the underlying theories of models with the application of real-world data using statistical software. An open-access website for the book contains data sets, Stata code, and answers to in-text questions.

Interpreting and Visualizing Regression Models Using Stata

Author : MICHAEL N. MITCHELL
Publisher : Stata Press
ISBN 13 : 9781597183215
Total Pages : 610 pages
Book Rating : 4.1/5 (832 download)

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Book Synopsis Interpreting and Visualizing Regression Models Using Stata by : MICHAEL N. MITCHELL

Download or read book Interpreting and Visualizing Regression Models Using Stata written by MICHAEL N. MITCHELL and published by Stata Press. This book was released on 2020-12-18 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials, and piecewise), interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models, models where time is a continuous predictor, models with time as a categorical predictor, nonlinear models (such as logistic or ordinal logistic regression), and models involving complex survey data. The examples illustrate the use of the margins, marginsplot, contrast, and pwcompare commands. This new edition reflects new and enhanced features added to Stata, most importantly the ability to label statistical output using value labels associated with factor variables. As a result, output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature, emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally, this second edition illustrates other new features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata, this book is for you.

Statistical Rethinking

Author : Richard McElreath
Publisher : CRC Press
ISBN 13 : 1482253488
Total Pages : 489 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Statistical Rethinking by : Richard McElreath

Download or read book Statistical Rethinking written by Richard McElreath and published by CRC Press. This book was released on 2018-01-03 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Multilevel Modeling

Author : G. David Garson
Publisher : SAGE Publications
ISBN 13 : 1544319304
Total Pages : 553 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Multilevel Modeling by : G. David Garson

Download or read book Multilevel Modeling written by G. David Garson and published by SAGE Publications. This book was released on 2019-07-31 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences.

The Multivariate Social Scientist

Author : Graeme D Hutcheson
Publisher : SAGE
ISBN 13 : 0857021907
Total Pages : 289 pages
Book Rating : 4.8/5 (57 download)

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Book Synopsis The Multivariate Social Scientist by : Graeme D Hutcheson

Download or read book The Multivariate Social Scientist written by Graeme D Hutcheson and published by SAGE. This book was released on 1999-05-19 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Starting from simple hypothesis testing and then moving towards model-building, this valuable book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports appropriately. Using a unified conceptual framework (based around the Generalized Linear Model) the authors explain the commonalities and relationships between methods that include both the analysis of categorical and continuous data.

Multilevel Modeling

Author : Douglas A. Luke
Publisher : SAGE
ISBN 13 : 9780761928799
Total Pages : 92 pages
Book Rating : 4.9/5 (287 download)

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Book Synopsis Multilevel Modeling by : Douglas A. Luke

Download or read book Multilevel Modeling written by Douglas A. Luke and published by SAGE. This book was released on 2004-07-08 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.

Realistic Evaluation

Author : Ray Pawson
Publisher : SAGE
ISBN 13 : 9780761950097
Total Pages : 260 pages
Book Rating : 4.9/5 (5 download)

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Book Synopsis Realistic Evaluation by : Ray Pawson

Download or read book Realistic Evaluation written by Ray Pawson and published by SAGE. This book was released on 1997-06-23 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of Contents

Introducing Multilevel Modeling

Author : Ita G G Kreft
Publisher : SAGE
ISBN 13 : 9781446230923
Total Pages : 164 pages
Book Rating : 4.2/5 (39 download)

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Book Synopsis Introducing Multilevel Modeling by : Ita G G Kreft

Download or read book Introducing Multilevel Modeling written by Ita G G Kreft and published by SAGE. This book was released on 1998-04-07 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioural, and educational research and it is clear from recent developments that such models are seen as being more realistic, and potentially more revealing, than ordinary regression models. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. The authors' approach is user-oriented and the formal mathematics and statistics are kept to a minimum. Other key features include the use of worked examples using real data sets, analyzed using the leading computer package for multilevel modeling - "MLn." Discussion site at: http: \www.stat.ucla.eduphplibw-agoraw-agora.phtml?bn=Sagebook Data files mentioned in the book are available from: http: \www.stat.ucla.edu deleeuwsagebook

Statistical Approaches to Causal Analysis

Author : Matthew McBee
Publisher : SAGE
ISBN 13 : 1529711118
Total Pages : 178 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Statistical Approaches to Causal Analysis by : Matthew McBee

Download or read book Statistical Approaches to Causal Analysis written by Matthew McBee and published by SAGE. This book was released on 2022-03-01 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multilevel Model Foundations

Author : Ralph B. Taylor
Publisher : Taylor & Francis
ISBN 13 : 100382353X
Total Pages : 162 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multilevel Model Foundations by : Ralph B. Taylor

Download or read book Multilevel Model Foundations written by Ralph B. Taylor and published by Taylor & Francis. This book was released on 2023-12-07 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the foundations of multilevel models, using Monopoly® rent data, from the classic board game, and the statistical program Stata®. Widespread experience with the game means many readers have a head start on understanding these models. The small-data set, 132 rent values for 22 properties clustered by the four sides of the playing board, combines with extensive graphical displays of data and results so all readers can see core multilevel ideas in action at a granular level. Two chapters on standard statistical models, one-way analysis of variance and multiple regression, help readers see how multilevel models rely on but also extend these monolevel ideas. Chapters present three basic multilevel models for cross-sectional analyses – analysis of variance, analysis of covariance, and random coefficients regression – and one basic developmental model for longitudinal analyses. Troubleshooting guidance, combined with close examination of data patterns, and careful inspection of model parameters, all help readers better grasp what model results mean, when model results should or should not be trusted, and how model results link back to core theoretical questions. Consequently, readers will develop a sense of best practices for building and diagnosing their own multilevel models. Those who complete the volume can readily apply what they have learned to more complex datasets and models and adapt available online Stata do files to those projects. Any social scientist working with data clustered in time, in space, or in both, and seeking to learn more about how to use, interpret, or teach these models, will find the book useful.