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Data Analysis With Mplus


Author : Christian Geiser
language : en
Publisher: Guilford Press
Release Date : 2012-11-14


PDF Download Data Analysis With Mplus Books For free written by Christian Geiser and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-14 with Social Science categories.


A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (http://crmda.ku.edu/guilford/geiser) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.

Longitudinal Structural Equation Modeling


Author : Todd D. Little
language : en
Publisher: Guilford Press
Release Date : 2013-02-26


PDF Download Longitudinal Structural Equation Modeling Books For free written by Todd D. Little and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-26 with Psychology categories.


Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

Dyadic Data Analysis


Author : David A. Kenny
language : en
Publisher: Guilford Press
Release Date : 2006-07-28


PDF Download Dyadic Data Analysis Books For free written by David A. Kenny and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-28 with Social Science categories.


The first book on the subject, this unique resource is comprehensive and authoritative. The authors' approach has wide applications for analyzing data related to couples, siblings, friends, coworkers, parent-child, doctor-patient pairs, and more. They compare and contrast different quantitative methods and evaluate their suitability for diverse situations.

Intensive Longitudinal Methods


Author : Niall Bolger
language : en
Publisher: Guilford Press
Release Date : 2013-01-22


PDF Download Intensive Longitudinal Methods Books For free written by Niall Bolger and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Psychology categories.


This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).

Growth Modeling


Author : Kevin J. Grimm
language : en
Publisher: Guilford Publications
Release Date : 2016-10-17


PDF Download Growth Modeling Books For free written by Kevin J. Grimm and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-17 with Social Science categories.


Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.

Latent Class And Latent Transition Analysis


Author : Linda M. Collins
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-20


PDF Download Latent Class And Latent Transition Analysis Books For free written by Linda M. Collins 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 2013-05-20 with Mathematics categories.


A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data. The book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring: A complete treatment of longitudinal latent class models Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution Use of parameter restrictions and detection of identification problems Advanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariates The authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a "Points to Remember" section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SASĀ® environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations. Latent Class and Latent Transition Analysis is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.

Structural Equation Modeling With Mplus


Author : Barbara M. Byrne
language : en
Publisher: Routledge
Release Date : 2013-06-17


PDF Download Structural Equation Modeling With Mplus Books For free written by Barbara M. Byrne and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Education categories.


"This text aims to provide readers with a nonmathematical introduction to the basic concepts associated with structural equation modeling, and to illustrate its basic applications using the Mplus program"--Provided by publisher.