multilevel analysis of educational data

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Multilevel Analysis Of Educational Data

Author : R. Darrell Bock
ISBN : 9781483295602
Genre : Education
File Size : 90. 20 MB
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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

Multilevel Modeling Of Educational Data

Author : Ann A. O'Connell
ISBN : 9781593116842
Genre : Education
File Size : 40. 48 MB
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Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies. This book represents an instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work.

Methodology And Epistemology Of Multilevel Analysis

Author : D. Courgeau
ISBN : 9781402046759
Genre : Philosophy
File Size : 77. 80 MB
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The purpose of the multilevel approach is to understand individual behaviors taking into account the social context in which they occur. This book deals with concepts and methods underlying this approach. This book is of interest to a broad audience of social scientists, statisticians and philosophers concerned with new issues raised by the multilevel approach, and more generally with explanation in the social sciences.

Teacher Professionalization And Teacher Commitment A Multilevel Analysis

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ISBN : 9781428927773
Genre :
File Size : 71. 59 MB
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Handbook Of Advanced Multilevel Analysis

Author : Joop Hox
ISBN : 9781136951275
Genre : Education
File Size : 62. 81 MB
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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 . 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.

The Multilevel Design

Author : Harry J. M. Hüttner
ISBN : 0313273103
Genre : Reference
File Size : 32. 78 MB
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In the social sciences, phenomena tend to be hierarchically structured, so that individuals belong to groups, and groups belong to larger organizations and societies. Multilevel research stresses this hierarchical structure of social life called a "research design. "An annotated bibliography of major studies is included in this book on the theoretical and methodological aspects of multilevel research and multilevel design.

Regression Based Analyses Of Multilevel Education Data

Author : Leigh Burstein
ISBN : OCLC:10608151
Genre : Educational statistics
File Size : 86. 89 MB
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Multilevel Analysis

Author : Joop J. Hox
ISBN : 9781136975349
Genre : Psychology
File Size : 57. 85 MB
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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 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
ISBN : 9780805832181
Genre : Mathematics
File Size : 31. 1 MB
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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.

Modeling Longitudinal And Multilevel Data

Author : Todd D. Little
ISBN : 9781135675943
Genre : Psychology
File Size : 88. 7 MB
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This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding command files are available via the Web. The working examples are available in the four major SEM packages--LISREL, EQS, MX, and AMOS--and two Multi-level packages--HLM and MLn. All equations and figural conventions are standardized across each contribution. The material is accessible to practicing researchers and students. Users can compare and contrast various analytic approaches to longitudinal and multiple-group data including SEM, Multi-level, LTA, and standard GLM techniques. Ideal for graduate students and practicing researchers in social and behavioral sciences.

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