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Multilevel And Longitudinal Modeling Using Stata Second Edition


Multilevel And Longitudinal Modeling Using Stata Second Edition
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Multilevel And Longitudinal Modeling Using Stata Second Edition


Multilevel And Longitudinal Modeling Using Stata Second Edition
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Author : Sophia Rabe-Hesketh
language : en
Publisher: Stata Press
Release Date : 2008-02-07

Multilevel And Longitudinal Modeling Using Stata Second Edition written by Sophia Rabe-Hesketh and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Computers categories.


This textbook looks specifically at Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.



Multilevel And Longitudinal Modeling Using Stata


Multilevel And Longitudinal Modeling Using Stata
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Author : Sophia Rabe-Hesketh
language : en
Publisher: Stata Press
Release Date : 2012-04-02

Multilevel And Longitudinal Modeling Using Stata written by Sophia Rabe-Hesketh and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-02 with Mathematics categories.


Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new chapter); models for count data; and models for survival data, including discrete-time and continuous-time (a new chapter) survival responses. The final part in volume II describes models with nested and crossed-random effects with an emphasis on binary outcomes.



Multilevel And Longitudinal Modeling Using Stata


Multilevel And Longitudinal Modeling Using Stata
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Author : Sophia Rabe-Hesketh
language : en
Publisher: Stata Press
Release Date : 2005-08-15

Multilevel And Longitudinal Modeling Using Stata written by Sophia Rabe-Hesketh and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-15 with Mathematics categories.


Presenting a thorough and accessible treatment of generalized linear mixed models, also known as multilevel or hierarchical models, Multilevel and Longitudinal Modeling Using Stata explains the models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. Beginning with the comparatively simple random-intercept linear model without covariates, the text develops the mixed model from first principles, familiarizing the reader with terminology, summarizing and relating the widely used estimating strategies, and providing historical perspective. Once this mixed-model foundation has been established, the text smoothly transitions to random-intercept models with covariates and then to random-coefficient models. The middle chapters apply the concepts defined earlier for Gaussian models to models for binary responses (e.g., logit and probit), ordinal responses (e.g., ordered logit and ordered probit), and count responses (e.g., Poisson). Models with multiple levels of random variation are then considered, as well as models with crossed (nonnested) random effects. The most complete and up-to-date depiction of Stata’s capacity for fitting generalized linear mixed models, Multilevel and Longitudinal Modeling Using Stata serves as an ideal introduction for Stata users wishing to learn about this powerful data-analysis tool.



Multilevel And Longitudinal Modeling With Ibm Spss


Multilevel And Longitudinal Modeling With Ibm Spss
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Author : Ronald H. Heck
language : en
Publisher: Routledge
Release Date : 2022-04-11

Multilevel And Longitudinal Modeling With Ibm Spss 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 2022-04-11 with Psychology categories.


Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.



A Gentle Introduction To Stata Second Edition


A Gentle Introduction To Stata Second Edition
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Author : Alan C. Acock
language : en
Publisher: Stata Press
Release Date : 2008-09-03

A Gentle Introduction To Stata Second Edition written by Alan C. Acock and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-03 with Computers categories.


"A Gentle Introduction to Stata, Second Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will not only be able to use Stata well but also learn new aspects of Stata easily. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the portion of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset on the computer. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that should help the reader develop good work habits. This mixture of explaining good Stata habits and good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward-referencing. Rather than splitting topics by their Stata implementation, Acock chose to arrange the topics as they would be in a basic statistics textbook; graphics and postestimation are woven into the material in a natural fashion. Real datasets, such as the General Social Surveys from 2002 and 2006, are used throughout the book. The focus of the book is especially helpful for those in psychology and the social sciences, because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. The second edition of the book has been updated to reflect new features in Stata 10 and includes a new chapter on the use of factor analysis to develop valid, reliable scale measures."--Publisher's website.



Quantitative Studies In Green And Conservation Criminology


Quantitative Studies In Green And Conservation Criminology
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Author : Michael J. Lynch
language : en
Publisher: Routledge
Release Date : 2019-07-17

Quantitative Studies In Green And Conservation Criminology written by Michael J. Lynch and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-17 with Law categories.


During the early development and throughout the short history of green/conservation criminology, limited attention has been directed toward quantitative analyses of relevant environmental crime, law and justice concerns. While recognizing the importance of establishing a theory and terminology in the early stages of development, this book redresses this imbalance. The work features contributions that undertake empirical quantitative studies of green/conservation crime and justice issues by both conservation and green criminologists. The collection highlights the shared concerns of these groups within important forms of ecological crime and victimization, and illustrates the ways in which these approaches can be undertaken quantitatively. It includes quantitative conservation/green criminological studies that represent the work of both well-established scholars in these fields, along with studies by scholars whose works are less well-known and who are also contributing to shaping this area of research. The book presents a valuable contribution to the areas of Green and Conservation Criminology. It will appeal to academics and students working in these areas.



Multivariate Survival Analysis And Competing Risks


Multivariate Survival Analysis And Competing Risks
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Author : Martin J. Crowder
language : en
Publisher: CRC Press
Release Date : 2012-04-17

Multivariate Survival Analysis And Competing Risks written by Martin J. Crowder and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Mathematics categories.


Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate



Elections And Democracy


Elections And Democracy
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Author : Jacques Thomassen
language : en
Publisher: OUP Oxford
Release Date : 2014-07-03

Elections And Democracy written by Jacques Thomassen and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-03 with Political Science categories.


Elections and Democracy addresses the contrast between two different views on representative democracy. According to the first view elections are a mechanism to hold government accountable. In the second view elections are primarily a means to ensure that citizens' views and interests are properly represented in the democratic process. The majoritarian and consensus models of democracy are the embodiment in institutional structures of these two different views of democracy. In the majoritarian view the single most important function of an election is the selection of a government. The concentration of power in the hands of an elected majority government makes it accountable to the people. In consensus models of democracy, or proportional systems, the major function of elections is to elect the members of parliament who together should be as representative as possible of the electorate as a whole. The criterion for the democratic quality of the system is how representative parliament really is. The book explores how far these different views and their embodiment in institutional structures influence vote choice, political participation and satisfaction with the functioning of democracy. The volume is based on data from the Comparative Study of Electoral Systems (CSES), a comparative study across 36 countries. The general conclusion of the book is that formal political institutions are less relevant for people's attitudes and behavior than often presumed. Rather than formal political institutions like the electoral system it seems to be characteristics of the party system like polarization and the clarity of responsibility that really matter. The Comparative Study of Electoral Systems (CSES) is a collaborative program of research among election study teams from around the world. Participating countries include a common module of survey questions in their post-election studies. The resulting data are deposited along with voting, demographic, district, and macro variables. The studies are then merged into a single, free, public dataset for use in comparative study and cross-level analysis. The set of volumes in this series is based on these CSES modules, and the volumes address the key theoretical issues and empirical debates in the study of elections and representative democracy. Some of the volumes will be organized around the theoretical issues raised by a particular module, while others will be thematic in their focus. Taken together, these volumes will provide a rigorous and ongoing contribution to understanding the expansion and consolidation of democracy in the twenty-first century. Series editors: Hans-Dieter Klingemann and Ian McAllister



Methodological Artefacts Data Manipulation And Fraud In Economics And Social Science


Methodological Artefacts Data Manipulation And Fraud In Economics And Social Science
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Author : Andreas Diekmann
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2016-11-21

Methodological Artefacts Data Manipulation And Fraud In Economics And Social Science written by Andreas Diekmann and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Business & Economics categories.


No detailed description available for "Methodological Artefacts, Data Manipulation and Fraud in Economics and Social Science".



American Journal Of Public Health


American Journal Of Public Health
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Author :
language : en
Publisher:
Release Date : 2009

American Journal Of Public Health written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Public health categories.