Multilevel Modeling In Plain Language

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Multilevel Modeling in Plain Language

Karen Robson,David J. Pevalin
Multilevel Modeling in Plain Language Book PDF

Author : Karen Robson,David J. Pevalin
Publisher : Unknown
Page : 152 pages
File Size : 43,6 Mb
Release : 2016
Category : Multilevel models (Statistics)
ISBN : 147392071X

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Multilevel Modeling in Plain Language by Karen Robson,David J. Pevalin Pdf

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

Karen Robson,David Pevalin
Multilevel Modeling in Plain Language Book PDF

Author : Karen Robson,David Pevalin
Publisher : SAGE
Page : 160 pages
File Size : 52,5 Mb
Release : 2015-11-02
Category : Reference
ISBN : 9781473934313

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Multilevel Modeling in Plain Language by Karen Robson,David Pevalin Pdf

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

G. David Garson
Multilevel Modeling Book PDF

Author : G. David Garson
Publisher : SAGE Publications
Page : 910 pages
File Size : 47,5 Mb
Release : 2019-07-31
Category : Education
ISBN : 9781544319285

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Multilevel Modeling by G. David Garson Pdf

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.

Interpreting and Visualizing Regression Models Using Stata

MICHAEL N. MITCHELL
Interpreting and Visualizing Regression Models Using Stata Book PDF

Author : MICHAEL N. MITCHELL
Publisher : Stata Press
Page : 610 pages
File Size : 49,9 Mb
Release : 2020-12-18
Category : Electronic
ISBN : 1597183210

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Interpreting and Visualizing Regression Models Using Stata by MICHAEL N. MITCHELL Pdf

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.

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

Joseph F. Hair, Jr.,G. Tomas M. Hult,Christian Ringle,Marko Sarstedt
A Primer on Partial Least Squares Structural Equation Modeling PLS SEM Book PDF

Author : Joseph F. Hair, Jr.,G. Tomas M. Hult,Christian Ringle,Marko Sarstedt
Publisher : SAGE Publications
Page : 385 pages
File Size : 52,9 Mb
Release : 2016-02-29
Category : Social Science
ISBN : 9781483377438

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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by Joseph F. Hair, Jr.,G. Tomas M. Hult,Christian Ringle,Marko Sarstedt Pdf

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.

Multilevel and Longitudinal Modeling with IBM SPSS

Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata
Multilevel and Longitudinal Modeling with IBM SPSS Book PDF

Author : Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata
Publisher : Routledge
Page : 835 pages
File Size : 42,5 Mb
Release : 2013-08-22
Category : Psychology
ISBN : 9781135074241

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Multilevel and Longitudinal Modeling with IBM SPSS by Ronald H. Heck,Scott L. Thomas,Lynn N. Tabata Pdf

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.

The Multivariate Social Scientist

Graeme D Hutcheson,Nick Sofroniou
The Multivariate Social Scientist Book PDF

Author : Graeme D Hutcheson,Nick Sofroniou
Publisher : SAGE
Page : 289 pages
File Size : 51,5 Mb
Release : 1999-05-19
Category : Social Science
ISBN : 9780857021908

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The Multivariate Social Scientist by Graeme D Hutcheson,Nick Sofroniou Pdf

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.

Statistical Rethinking

Richard McElreath
Statistical Rethinking Book PDF

Author : Richard McElreath
Publisher : CRC Press
Page : 488 pages
File Size : 51,5 Mb
Release : 2018-01-03
Category : Mathematics
ISBN : 9781315362618

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Statistical Rethinking by Richard McElreath Pdf

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.

Introducing Multilevel Modeling

Ita G G Kreft,Jan de Leeuw
Introducing Multilevel Modeling Book PDF

Author : Ita G G Kreft,Jan de Leeuw
Publisher : SAGE
Page : 164 pages
File Size : 51,9 Mb
Release : 1998-06-18
Category : Mathematics
ISBN : 0761951415

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Introducing Multilevel Modeling by Ita G G Kreft,Jan de Leeuw Pdf

This is the first practical guide to using multilevel models in social research. The authors' approach is user-oriented, with formal mathematics and statistics kept to the minimum and worked examples using real data sets.

Bayesian Data Analysis, Third Edition

Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin
Bayesian Data Analysis Third Edition Book PDF

Author : Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin
Publisher : CRC Press
Page : 677 pages
File Size : 54,7 Mb
Release : 2013-11-01
Category : Mathematics
ISBN : 9781439840955

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Bayesian Data Analysis, Third Edition by Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin Pdf

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Applied Regression Modeling

Iain Pardoe
Applied Regression Modeling Book PDF

Author : Iain Pardoe
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 49,5 Mb
Release : 2013-01-07
Category : Mathematics
ISBN : 9781118345047

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Applied Regression Modeling by Iain Pardoe Pdf

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 Modeling

Douglas A. Luke
Multilevel Modeling Book PDF

Author : Douglas A. Luke
Publisher : SAGE
Page : 92 pages
File Size : 42,9 Mb
Release : 2004-07-08
Category : Mathematics
ISBN : 0761928790

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Multilevel Modeling by Douglas A. Luke Pdf

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

Ray Pawson,Nick Tilley
Realistic Evaluation Book PDF

Author : Ray Pawson,Nick Tilley
Publisher : SAGE
Page : 260 pages
File Size : 52,7 Mb
Release : 1997-06-23
Category : Business & Economics
ISBN : 0761950095

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Realistic Evaluation by Ray Pawson,Nick Tilley Pdf

Table of Contents

Multiple Regression and Beyond

Timothy Z. Keith
Multiple Regression and Beyond Book PDF

Author : Timothy Z. Keith
Publisher : Routledge
Page : 862 pages
File Size : 48,7 Mb
Release : 2019-01-14
Category : Education
ISBN : 9781351667920

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Multiple Regression and Beyond by Timothy Z. Keith Pdf

Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources

Applied Ordinal Logistic Regression Using Stata

Xing Liu
Applied Ordinal Logistic Regression Using Stata Book PDF

Author : Xing Liu
Publisher : SAGE Publications
Page : 372 pages
File Size : 48,7 Mb
Release : 2015-09-30
Category : Social Science
ISBN : 9781483319766

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Applied Ordinal Logistic Regression Using Stata by Xing Liu Pdf

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.