Multilevel Model Foundations

Author : Ralph B. Taylor
Publisher : Taylor & Francis
Page : 162 pages
File Size : 46,8 Mb
Release : 2023-12-07
Category : Psychology
ISBN : 9781003823537

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Multilevel Model Foundations by Ralph B. Taylor Pdf

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.

Author : G. David Garson
Publisher : SAGE Publications
Page : 910 pages
File Size : 41,8 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.

Author : Katherine J. Klein,Steve W. J. Kozlowski
Publisher : Pfeiffer
Page : 648 pages
File Size : 43,6 Mb
Release : 2000
Category : Business & Economics
ISBN : UOM:39015055454683

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Multilevel Theory, Research, and Methods in Organizations by Katherine J. Klein,Steve W. J. Kozlowski Pdf

This study on multilevel analysis cuts through the confusion surrounding the development and testing of multilevel theories. It illuminates processes and effects within organisations, synthesising and updating current theory.

Author : Ralph B. Taylor
Publisher : Unknown
Page : 0 pages
File Size : 55,6 Mb
Release : 2024
Category : Electronic
ISBN : 103249218X

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Multilevel Model Foundations by Ralph B. Taylor Pdf

Author : Ralph B. Taylor
Publisher : Taylor & Francis
Page : 179 pages
File Size : 51,8 Mb
Release : 2023-12-07
Category : Psychology
ISBN : 9781003823490

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Multilevel Model Foundations by Ralph B. Taylor Pdf

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.

Author : Tom A. B. Snijders,Roel J. Bosker
Publisher : SAGE
Page : 282 pages
File Size : 52,5 Mb
Release : 1999
Category : Mathematics
ISBN : 0761958908

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Multilevel Analysis by Tom A. B. Snijders,Roel J. Bosker Pdf

Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.

Author : Paul Roback,Julie Legler
Publisher : CRC Press
Page : 436 pages
File Size : 50,7 Mb
Release : 2021-01-14
Category : Mathematics
ISBN : 9781439885406

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Beyond Multiple Linear Regression by Paul Roback,Julie Legler Pdf

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)

Author : Myint Swe Khine
Publisher : Springer Nature
Page : 419 pages
File Size : 51,7 Mb
Release : 2022-04-10
Category : Education
ISBN : 9789811691423

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Methodology for Multilevel Modeling in Educational Research by Myint Swe Khine Pdf

This edited volume documents attempts to conduct systematic and prodigious research using multilevel analysis in educational settings, and present their findings and identify future research directions. It showcases the versatility of multilevel analysis, and elucidates the unique advantages in examining complex and wide-ranging educational issues. This book brings together leading experts around the world to share their works in the field, highlighting recent advances, creative and unique approaches, and innovative methods using multilevel modeling and theoretical and practical aspects of multilevel analysis in culturally and linguistically-diverse educational contexts.

Author : RALPH B. TAYLOR
Publisher : Routledge
Page : 0 pages
File Size : 48,5 Mb
Release : 2023-12-07
Category : Electronic
ISBN : 1032431970

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Multilevel Model Foundations by RALPH B. TAYLOR Pdf

This book introduces the foundations of multilevel models, using Monopoly(R) rent data from the classic board game, and the statistical program Stata(R). 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, oneway 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.

Author : Eugene Demidenko
Publisher : John Wiley & Sons
Page : 768 pages
File Size : 51,9 Mb
Release : 2013-08-05
Category : Mathematics
ISBN : 9781118091579

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Mixed Models by Eugene Demidenko Pdf

Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.

Author : Steven J. Molinsky,Bill Bliss
Publisher : Pearson Education ESL
Page : 464 pages
File Size : 45,8 Mb
Release : 2007-08-17
Category : English language
ISBN : 013135437X

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Foundations Multilevel Activity Book by Steven J. Molinsky,Bill Bliss Pdf

Author : Steven C. Hertler,Aurelio José Figueredo,Mateo Peñaherrera-Aguirre
Publisher : Springer Nature
Page : 402 pages
File Size : 47,9 Mb
Release : 2020-09-02
Category : Psychology
ISBN : 9783030495206

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Multilevel Selection by Steven C. Hertler,Aurelio José Figueredo,Mateo Peñaherrera-Aguirre Pdf

This book embeds a novel evolutionary analysis of human group selection within a comprehensive overview of multilevel selection theory, a theory wherein evolution proceeds at the level of individual organisms and collectives, such as human families, tribes, states, and empires. Where previous works on the topic have variously supported multilevel selection with logic, theory, experimental data, or via review of the zoological literature; in this book the authors uniquely establish the validity of human group selection as a historical evolutionary process within a multilevel selection framework. Select portions of the historical record are examined from a multilevel selectionist perspective, such that clashing civilizations, decline and fall, law, custom, war, genocide, ostracism, banishment, and the like are viewed with the end of understanding their implications for internal cohesion, external defense, and population demography. In doing so, its authors advance the potential for further interdisciplinary study in fostering, for instance, the convergence of history and biology. This work will provide fresh insights not only for evolutionists but also for researchers working across the social sciences and humanities.

Author : Steven P. Reise,Naihua Duan
Publisher : Psychology Press
Page : 332 pages
File Size : 43,8 Mb
Release : 2003-01-30
Category : Psychology
ISBN : 9781135655358

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Multilevel Modeling by Steven P. Reise,Naihua Duan Pdf

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world. The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.

Author : David Kaplan
Publisher : SAGE Publications, Incorporated
Page : 248 pages
File Size : 40,6 Mb
Release : 2000-10-17
Category : Psychology
ISBN : UOM:39015064117479

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Structural Equation Modeling by David Kaplan Pdf

By focusing on how structural equation modeling (SEM) can illuminate what we know abou social and behavioral phenomena rather than on the "ins and outs" of the various SEM programs (eg., AMOS, LISREL, EQS), David Kaplan demonstrates to the reader the utility of SEM, its limitations, and the statistical underpinnings of the method. The book begins with an explanation of confirmatory factor analysis and path analysis, and how these two techniques can be combined for SEM.

Author : David Kaplan
Publisher : SAGE Publications
Page : 272 pages
File Size : 50,9 Mb
Release : 2008-07-23
Category : Social Science
ISBN : 9781483342597

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Structural Equation Modeling by David Kaplan Pdf

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.