Introducing Multilevel Modeling

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Introducing Multilevel Modeling

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Author : Ita G G Kreft
language : en
Publisher: SAGE
Release Date : 1998-04-07

Introducing Multilevel Modeling written by Ita G G Kreft and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-07 with Social Science categories.

This is the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioural, and educational research and it is clear from recent developments that such models are seen as being more realistic, and potentially more revealing, than ordinary regression models. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. The authors' approach is user-oriented and the formal mathematics and statistics are kept to a minimum. Other key features include the use of worked examples using real data sets, analyzed using the leading computer package for multilevel modeling - "MLn." Discussion site at: http: \www.stat.ucla.eduphplibw-agoraw-agora.phtml?bn=Sagebook Data files mentioned in the book are available from: http: \www.stat.ucla.edu deleeuwsagebook

Multilevel Analysis

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Author : Tom A B Snijders
language : en
Publisher: SAGE
Release Date : 2011-10-30

Multilevel Analysis written by Tom A B Snijders and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-30 with Reference categories.

The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Bosker′s book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book provides step-by-step coverage of: • multilevel theories • ecological fallacies • the hierarchical linear model • testing and model specification • heteroscedasticity • study designs • longitudinal data • multivariate multilevel models • discrete dependent variables There are also new chapters on: • missing data • multilevel modeling and survey weights • Bayesian and MCMC estimation and latent-class models. This book has been comprehensively revised and updated since the last edition, and now discusses modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and SuperMix. This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis. Tom A.B. Snijders is Professor of Statistics in the Social Sciences at the University of Oxford and Professor of Statistics and Methodology at the University of Groningen. Roel J. Bosker is Professor of Education and Director of GION, Groningen Institute for Educational Research, at the University of Groningen.

Introduction To Modern Modelling Methods

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Author : D. Betsy McCoach
language : en
Publisher: SAGE
Release Date : 2022-03

Introduction To Modern Modelling Methods written by D. Betsy McCoach and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03 with Reference categories.

Using concise and direct language, Betsy McCoach′s book imparts a wide range of modeling techniques for use with quantitative data, including: From 2-level multilevel models to longitudinal modeling using multilevel and stuctural equation modeling (SEM) techniques. Part of The SAGE Quantitative Research Kit, this book offers the know-how and confidence needed to succeed on your quantitative research journey.

Introduction To Experimental Designs With Proc Glimmix Of Sas

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Author : Josafhat Salinas Ruíz
language : en
Publisher: Springer Nature
Release Date : 2024-09-10

Introduction To Experimental Designs With Proc Glimmix Of Sas written by Josafhat Salinas Ruíz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-10 with Mathematics categories.

In this book, the subject of design and analysis of experiments has been covered in simple language by giving basic concepts of various designs and essential data analysis steps of designed experiments. It has become clear that among researchers, mainly from the areas of food and agricultural sciences, there is a great need for a reference work on design and analysis of experiments that covers basic concepts, provides examples of varied situations that require the use of the experimental designs and that offers clear steps required for the correct analysis execution. This book covers such needs while also sharing codes in the Statistical Analysis Systems (SAS) for each of the designs covered using Proc Glimmix to perform the analysis. It is hoped that this will allow readers to directly analyze the data from their experiments.

An Introduction To Multilevel Modeling Techniques

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

An Introduction To Multilevel Modeling Techniques 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 with Computers categories.

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. -- Provided by Publisher.

Introducing Statistical Methods

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Author :
language : en
Publisher:
Release Date :

Introducing Statistical Methods written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Innovation Entrepreneurship Geography And Growth

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Author : Philip McCann
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-17

Innovation Entrepreneurship Geography And Growth written by Philip McCann 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 2012-10-17 with Business & Economics categories.

Innovation, Entrepreneurship, Geography and Growth provides a timely, accessible review of our understanding of the complex links between innovation, entrepreneurship, geography and growth. Expert contributions provide a thorough roadmap of the developments in research at the interface of these themes. A timely and accessible review of our understanding of the complex links between innovation, entrepreneurship, geography and growth A highly comprehensive roadmap of the range of issues addressed by research in these areas Discusses the most profitable ways forward for enhancing our understanding of arising issues Contributions from leading experts in the field take a variety of theoretical, empirical and institutional angles

Applied Statistics Using Stata

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Author : Mehmet Mehmetoglu
language : en
Publisher: SAGE
Release Date : 2022-04-26

Applied Statistics Using Stata written by Mehmet Mehmetoglu and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Reference categories.

Combining theory with plenty of practical, technical advice – and accompanied by original case studies and data sets – this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.

Bayesian Hierarchical Models

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Author : Peter D. Congdon
language : en
Publisher: CRC Press
Release Date : 2019-09-16

Bayesian Hierarchical Models written by Peter D. Congdon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-16 with Mathematics categories.

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website

Introduction To Power Analysis

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Author : E. C. Hedberg
language : en
Publisher: SAGE Publications
Release Date : 2017-12-05

Introduction To Power Analysis written by E. C. Hedberg and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-05 with Social Science categories.

Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy.