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Multilevel Analysis


Author : Joop J. Hox
language : en
Publisher: Routledge
Release Date : 2010-09-13


PDF Download Multilevel Analysis Books For free written by Joop J. Hox and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-13 with Psychology categories.


This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models. Highlights of the second edition include: Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years. The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained. A new section on multivariate meta-analysis (Ch. 11). Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected. Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods. An updated website at http://www.joophox.net/ with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors. Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.

Multilevel Analysis


Author : J. J. Hox
language : en
Publisher: Routledge
Release Date : 2002


PDF Download Multilevel Analysis Books For free written by J. J. Hox and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.


This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model and a model for multilevel covariance structures.

Multilevel Analysis


Author : Joop Hox
language : en
Publisher: Routledge
Release Date : 2002-04-01


PDF Download Multilevel Analysis Books For free written by Joop Hox and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-01 with Psychology categories.


An introductory level bk for applied researchers. It assumes that readers have a basic knowledge of social science statistics, including analysis of variance & multiple regression. The book has been used in several multilevel courses including one at the

Multilevel Modeling Of Categorical Outcomes Using Ibm Spss


Author : Ronald H Heck
language : en
Publisher: Routledge
Release Date : 2013-05-07


PDF Download Multilevel Modeling Of Categorical Outcomes Using Ibm Spss Books For free written by Ronald H Heck and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-07 with Psychology categories.


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.

An Introduction To Multilevel Modeling Techniques


Author : Ronald H. Heck
language : en
Publisher: Psychology Press
Release Date : 1999-11-01


PDF Download An Introduction To Multilevel Modeling Techniques Books For free written by Ronald H. Heck and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-11-01 with Computers categories.


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 Modeling Of Educational Data


Author : Ann A. O'Connell
language : en
Publisher: IAP
Release Date : 2008-04-01


PDF Download Multilevel Modeling Of Educational Data Books For free written by Ann A. O'Connell and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-01 with Education categories.


(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, coedited 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 (EdStat 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 schoollevel characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional singlelevel 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 handson 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 Modeling Techniques And Applications In Institutional Research


Author : Joe L. Lott
language : en
Publisher: John Wiley & Sons
Release Date : 2013-02-22


PDF Download Multilevel Modeling Techniques And Applications In Institutional Research Books For free written by Joe L. Lott and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-22 with Education categories.


Multilevel modeling is an increasingly popular multivariatetechnique that is widely applied in the social sciences.Increasingly, practitioners are making instructional decisionsbased on results from their multivariate analyses, which often comefrom nested data that lend themselves to multilevel modelingtechniques. As data-driven decision making becomes more critical tocolleges and universities, multilevel modeling is a tool that willlead to more efficient estimates and enhance understanding ofcomplex relationships. This volume illustrates both the theoretical underpinnings andpractical applications of multilevel modeling in IR. It introducesthe fundamental concepts of multilevel modeling techniques in aconceptual and technical manner. Providing a range of examples ofnested models that are based on linear and categoricaloutcomes, it then offers important suggestions aboutpresenting results of multilevel models through charts andgraphs. This is the 154th volume of this Jossey-Bassquarterly report series. Always timely and comprehensive, NewDirections for Institutional Research provides planners andadministrators in all types of academic institutions withguidelines in such areas as resource coordination, informationanalysis, program evaluation, and institutional management.