Multilevel Modeling Of Educational Data

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Multilevel Modeling of Educational Data

Ann A. O'Connell,D. Betsy McCoach
Multilevel Modeling of Educational Data Book PDF

Author : Ann A. O'Connell,D. Betsy McCoach
Publisher : IAP
Page : 541 pages
File Size : 50,8 Mb
Release : 2008-04-01
Category : Education
ISBN : 9781607527299

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Multilevel Modeling of Educational Data by Ann A. O'Connell,D. Betsy McCoach Pdf

(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, co-edited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D., is the next volume in the series: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching (Information Age Publishing), sponsored by the Educational Statisticians' Special Interest Group (Ed-Stat SIG) of the American Educational Research Association. The use of multilevel analyses to examine effects of groups or contexts on individual outcomes has burgeoned over the past few decades. Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies (i.e.- the classroom, the school, and/or the district). Examples of multilevel research problems involving schools include establishing trajectories of academic achievement for children within diverse classrooms or schools or studying school-level characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional single-level approaches to working with clustered or hierarchical data; however, multilevel data present complex and interesting methodological challenges for the applied education research community. In keeping with the pedagogical focus for this book series, the papers this volume emphasize applications of multilevel models using educational data, with chapter topics ranging from basic to advanced. This book represents a comprehensive and instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work, as well as for professors and students of quantitative methods courses focusing on multilevel analysis. Through the contributions of experienced researchers and teachers of multilevel modeling, this volume provides an accessible and practical treatment of methods appropriate for use in a first and/or second course in multilevel analysis. A supporting website links chapter examples to actual data, creating an opportunity for readers to reinforce their knowledge through hands-on data analysis. This book serves as a guide for designing multilevel studies and applying multilevel modeling techniques in educational and behavioral research, thus contributing to a better understanding of and solution for the challenges posed by multilevel systems and data.

Multilevel Analysis of Educational Data

R. Darrell Bock
Multilevel Analysis of Educational Data Book PDF

Author : R. Darrell Bock
Publisher : Elsevier
Page : 367 pages
File Size : 42,7 Mb
Release : 2014-06-28
Category : Education
ISBN : 9781483295602

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Multilevel Analysis of Educational Data by R. Darrell Bock Pdf

Multilevel Analysis of Educational Data Bayesian methods Empirical Bayes Generalized least squares Profile likelihoods E-M algorithm Fisher scoring procedures Both educational and social science applications

Advances in Multilevel Modeling for Educational Research

Jeffrey R. Harring,Laura M. Stapleton,S. Natasha Beretvas
Advances in Multilevel Modeling for Educational Research Book PDF

Author : Jeffrey R. Harring,Laura M. Stapleton,S. Natasha Beretvas
Publisher : IAP
Page : 389 pages
File Size : 45,9 Mb
Release : 2015-12-01
Category : Education
ISBN : 9781681233291

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Advances in Multilevel Modeling for Educational Research by Jeffrey R. Harring,Laura M. Stapleton,S. Natasha Beretvas Pdf

The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data structures. Simply scan the applied literature and one can see evidence of this trend by noticing the number of articles adopting multilevel models as their primary modeling framework. Helping to drive the popularity of their use, governmental funding agencies continue to advocate the use of multilevel models as part of a comprehensive analytic strategy for conducting rigorous and relevant research to improve our nation’s education system. Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real?World Applications is a resource intended for advanced graduate students, faculty and/or researchers interested in multilevel data analysis, especially in education, social and behavioral sciences. The chapters are written by prominent methodological researchers across diverse research domains such as educational statistics, quantitative psychology, and psychometrics. Each chapter exposes the reader to some of the latest methodological innovations, refinements and state?of?the?art developments and perspectives in the analysis of multilevel data including current best practices of standard techniques. We believe this volume will be particularly appealing to researchers in domains including but not limited to: educational policy and administration, educational psychology including school psychology and special education, and clinical psychology. In fact, we believe this volume will be a desirable resource for any research area that uses hierarchically nested data. The book will likely be attractive to applied and methodological researchers in several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Educational Effectiveness (SREE), and other related organizations.

An Introduction to Multilevel Modeling Techniques

Ronald H. Heck,Scott L. Thomas
An Introduction to Multilevel Modeling Techniques Book PDF

Author : Ronald H. Heck,Scott L. Thomas
Publisher : Psychology Press
Page : 233 pages
File Size : 55,8 Mb
Release : 1999-11-01
Category : Computers
ISBN : 9781135678319

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An Introduction to Multilevel Modeling Techniques by Ronald H. Heck,Scott L. Thomas Pdf

This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples will help the reader discover other applications for these techniques. Two basic classes of multilevel models are developed: multilevel regression models and multilevel models for covariance structures--are used to develop the rationale behind these models and provide an introduction to the design and analysis of research studies using two multilevel analytic techniques--hierarchical linear modeling and structural equation modeling.

Multilevel Analysis

Tom A. B. Snijders,Roel J. Bosker
Multilevel Analysis Book PDF

Author : Tom A. B. Snijders,Roel J. Bosker
Publisher : SAGE
Page : 282 pages
File Size : 44,9 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.

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman,Jennifer Hill
Data Analysis Using Regression and Multilevel Hierarchical Models Book PDF

Author : Andrew Gelman,Jennifer Hill
Publisher : Cambridge University Press
Page : 654 pages
File Size : 49,8 Mb
Release : 2007
Category : Mathematics
ISBN : 052168689X

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Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman,Jennifer Hill Pdf

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Multilevel Models

Jichuan Wang,Haiyi Xie,James F. Fisher
Multilevel Models Book PDF

Author : Jichuan Wang,Haiyi Xie,James F. Fisher
Publisher : Walter de Gruyter
Page : 275 pages
File Size : 41,5 Mb
Release : 2011-12-23
Category : Mathematics
ISBN : 9783110267709

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Multilevel Models by Jichuan Wang,Haiyi Xie,James F. Fisher Pdf

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or clustered structure. Multilevel models are now applied to a wide range of studies in sociology, population studies, education studies, psychology, economics, epidemiology, and public health. This book covers a broad range of topics about multilevel modeling. The goal of the authors is to help students and researchers who are interested in analysis of multilevel data to understand the basic concepts, theoretical frameworks and application methods of multilevel modeling. The book is written in non-mathematical terms, focusing on the methods and application of various multilevel models, using the internationally widely used statistical software, the Statistics Analysis System (SAS®). Examples are drawn from analysis of real-world research data. The authors focus on twolevel models in this book because it is most frequently encountered situation in real research. These models can be readily expanded to models with three or more levels when applicable. A wide range of linear and non-linear multilevel models are introduced and demonstrated.

Classification, Data Analysis, and Data Highways

Ingo Balderjahn,Rudolf Mathar,Martin Schader
Classification Data Analysis and Data Highways Book PDF

Author : Ingo Balderjahn,Rudolf Mathar,Martin Schader
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 52,6 Mb
Release : 2013-03-12
Category : Business & Economics
ISBN : 9783642720871

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Classification, Data Analysis, and Data Highways by Ingo Balderjahn,Rudolf Mathar,Martin Schader Pdf

This volume presents 43 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and WWW- and Internet-related topics as well as many applications. These articles are selected from more than 100 papers presented at the 21st Annual Conference of the Gesellschaft für Klassifikation. Based on the submitted and revised papers six sections have been arranged: - Classification and Data Analysis - Mathematical and Statistical Methods - World Wide Web and the Internet - Speech and Pattern Recognition - Marketing.

Multilevel Modeling Using R

W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley
Multilevel Modeling Using R Book PDF

Author : W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley
Publisher : CRC Press
Page : 242 pages
File Size : 41,5 Mb
Release : 2019-07-16
Category : Mathematics
ISBN : 9781351062251

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Multilevel Modeling Using R by W. Holmes Finch,Jocelyn E. Bolin,Ken Kelley Pdf

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.

Methodology for Multilevel Modeling in Educational Research

Myint Swe Khine
Methodology for Multilevel Modeling in Educational Research Book PDF

Author : Myint Swe Khine
Publisher : Springer Nature
Page : 419 pages
File Size : 48,5 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.

Multilevel Models in Educational and Social Research

Harvey Goldstein
Multilevel Models in Educational and Social Research Book PDF

Author : Harvey Goldstein
Publisher : Oxford University Press, USA
Page : 116 pages
File Size : 55,6 Mb
Release : 1987
Category : Education
ISBN : UOM:39015060080036

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Multilevel Models in Educational and Social Research by Harvey Goldstein Pdf

This general methodological discussion presents the essential features of multilevel modelling. The models described solve a number of problems in different fields, including the social and biological sciences, where data have a hierarchical structure. Practical examples are used to illustrate topics such as school effectiveness, progress in reading achievement, child growth, and social attitudes. A basic familiarity with structure and application of linear or multiple regression models is assumed.

Multilevel Modeling Methods with Introductory and Advanced Applications

Ann A. O'Connell,D. Betsy McCoach,Bethany A. Bell
Multilevel Modeling Methods with Introductory and Advanced Applications Book PDF

Author : Ann A. O'Connell,D. Betsy McCoach,Bethany A. Bell
Publisher : IAP
Page : 645 pages
File Size : 51,8 Mb
Release : 2022-03-01
Category : Education
ISBN : 9781648028731

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Multilevel Modeling Methods with Introductory and Advanced Applications by Ann A. O'Connell,D. Betsy McCoach,Bethany A. Bell Pdf

Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation. In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs. Each chapter contains a section called Try This!, which poses a structured data problem for the reader. We have linked our book to a website (http://modeling.uconn.edu) containing data for the Try This! section, creating an opportunity for readers to learn by doing. The inclusion of the Try This! problems, data, and sample code eases the burden for instructors, who must continually search for class examples and homework problems. In addition, each chapter provides recommendations for additional methodological and applied readings.

Handbook of Advanced Multilevel Analysis

Joop Hox,J. Kyle Roberts
Handbook of Advanced Multilevel Analysis Book PDF

Author : Joop Hox,J. Kyle Roberts
Publisher : Psychology Press
Page : 408 pages
File Size : 40,8 Mb
Release : 2011-01-11
Category : Psychology
ISBN : 9781136951275

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Handbook of Advanced Multilevel Analysis by Joop Hox,J. Kyle Roberts Pdf

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Ronald H Heck,Scott Thomas,Lynn Tabata
Multilevel Modeling of Categorical Outcomes Using IBM SPSS Book PDF

Author : Ronald H Heck,Scott Thomas,Lynn Tabata
Publisher : Routledge
Page : 449 pages
File Size : 55,9 Mb
Release : 2013-05-07
Category : Psychology
ISBN : 9781136672347

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Multilevel Modeling of Categorical Outcomes Using IBM SPSS by Ronald H Heck,Scott Thomas,Lynn Tabata Pdf

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

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 : 46,6 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.