The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements
The usefulness of Bayesian methods in estimating complex statistical models is undeniable. From a Bayesian standpoint, this paper aims to demonstrate the capacity of Bayesian methods and propose a comprehensive model combining both a measurement model (e.g., an item response model, IRM) and a struct...
- Autores:
-
Hsieh, Chueh An
Von Eye, Alexander
- Tipo de recurso:
- Fecha de publicación:
- 2010
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- spa
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/6549
- Acceso en línea:
- http://hdl.handle.net/10819/6549
- Palabra clave:
- Bayesian inference
Generalized linear latent and mixed mode
Item response model
Latent growth curve analysis
Simulation
Análisis de curva de crecimiento latente
Inferencia Bayesiana
Modelo de respuesta al ítem
Modelo linear generalizado latente y mixto
Simulación
Estadística
Investigación cuantitativa
- Rights
- License
- Atribución-NoComercial-SinDerivadas 2.5 Colombia
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dc.title.spa.fl_str_mv |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
dc.title.alternative.spa.fl_str_mv |
Lo mejor de ambos mundos: una propuesta de modelamiento combinado para la evaluación del cambio a lo largo de mediciones repetidas |
title |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
spellingShingle |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements Bayesian inference Generalized linear latent and mixed mode Item response model Latent growth curve analysis Simulation Análisis de curva de crecimiento latente Inferencia Bayesiana Modelo de respuesta al ítem Modelo linear generalizado latente y mixto Simulación Estadística Investigación cuantitativa |
title_short |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
title_full |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
title_fullStr |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
title_full_unstemmed |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
title_sort |
The best of both worlds: a joint modeling approach for the assessment of change across repeated measurements |
dc.creator.fl_str_mv |
Hsieh, Chueh An Von Eye, Alexander |
dc.contributor.author.none.fl_str_mv |
Hsieh, Chueh An Von Eye, Alexander |
dc.subject.spa.fl_str_mv |
Bayesian inference Generalized linear latent and mixed mode Item response model Latent growth curve analysis Simulation Análisis de curva de crecimiento latente Inferencia Bayesiana Modelo de respuesta al ítem Modelo linear generalizado latente y mixto Simulación |
topic |
Bayesian inference Generalized linear latent and mixed mode Item response model Latent growth curve analysis Simulation Análisis de curva de crecimiento latente Inferencia Bayesiana Modelo de respuesta al ítem Modelo linear generalizado latente y mixto Simulación Estadística Investigación cuantitativa |
dc.subject.lemb.spa.fl_str_mv |
Estadística Investigación cuantitativa |
description |
The usefulness of Bayesian methods in estimating complex statistical models is undeniable. From a Bayesian standpoint, this paper aims to demonstrate the capacity of Bayesian methods and propose a comprehensive model combining both a measurement model (e.g., an item response model, IRM) and a structural model (e.g., a latent variable model, LVM). That is, through the incorporation of the probit link and Bayesian estimation, the item response model can be introduced naturally into a latent variable model. The utility of this IRM-LVM comprehensive framework is investigated with a real data example and promising results are obtained, in which the data drawn from part of the British Social Attitudes Panel Survey 1983-1986 reveal the attitude toward abortion of a representative sample of adults aged 18 or older living in Great Britain. The application of IRMs to responses gathered from repeated assessments allows us to take the characteristics of both item responses and measurement error into consideration in the analysis of individual developmental trajectories, and helps resolve some difficult modeling issues commonly encountered in developmental research, such as small sample sizes, multiple discretely scaled items, many repeated assessments, and attrition over time |
publishDate |
2010 |
dc.date.issued.none.fl_str_mv |
2010 |
dc.date.accessioned.none.fl_str_mv |
2018-11-19T21:35:21Z |
dc.date.available.none.fl_str_mv |
2018-11-19T21:35:21Z |
dc.date.submitted.none.fl_str_mv |
2018-11-15 |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.identifier.citation.spa.fl_str_mv |
Hsieh, C., & Von Eye, A. (2010). The Best of Both Worlds: A Joint Modeling Approach for the Assessment of Change across Repeated Measurements. International Journal of Psychological Research (Vol. 3). Retrieved from http://bit.ly/2A2ciQu |
dc.identifier.issn.none.fl_str_mv |
2011-7922 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10819/6549 |
identifier_str_mv |
Hsieh, C., & Von Eye, A. (2010). The Best of Both Worlds: A Joint Modeling Approach for the Assessment of Change across Repeated Measurements. International Journal of Psychological Research (Vol. 3). Retrieved from http://bit.ly/2A2ciQu 2011-7922 |
url |
http://hdl.handle.net/10819/6549 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.uri.spa.fl_str_mv |
http://dx.doi.org/10.21500/20112084.862 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.cc.spa.fl_str_mv |
Atribución-NoComercial-SinDerivadas 2.5 Colombia |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/2.5/co/ |
rights_invalid_str_mv |
Atribución-NoComercial-SinDerivadas 2.5 Colombia http://creativecommons.org/licenses/by-nc-nd/2.5/co/ http://purl.org/coar/access_right/c_abf2 |
dc.format.spa.fl_str_mv |
pdf |
dc.format.extent.spa.fl_str_mv |
34 páginas |
dc.format.medium.spa.fl_str_mv |
Recurso en linea |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Editorial Bonaventuriana |
dc.publisher.faculty.spa.fl_str_mv |
Psicología |
dc.publisher.sede.spa.fl_str_mv |
Medellín |
dc.source.spa.fl_str_mv |
International Journal of Psychological Research |
institution |
Universidad de San Buenaventura |
dc.source.instname.spa.fl_str_mv |
Universidad de San Buenaventura - Medellín |
dc.source.reponame.spa.fl_str_mv |
Biblioteca Digital Universidad de San Buenaventura |
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Comunidad Científica y AcadémicaHsieh, Chueh An2944fb08-9935-4b61-ab26-b85621dd0d86-1Von Eye, Alexander1ee93af2-bd10-4fcd-8735-053cf33ba631-12018-11-19T21:35:21Z2018-11-19T21:35:21Z20102018-11-15The usefulness of Bayesian methods in estimating complex statistical models is undeniable. From a Bayesian standpoint, this paper aims to demonstrate the capacity of Bayesian methods and propose a comprehensive model combining both a measurement model (e.g., an item response model, IRM) and a structural model (e.g., a latent variable model, LVM). That is, through the incorporation of the probit link and Bayesian estimation, the item response model can be introduced naturally into a latent variable model. The utility of this IRM-LVM comprehensive framework is investigated with a real data example and promising results are obtained, in which the data drawn from part of the British Social Attitudes Panel Survey 1983-1986 reveal the attitude toward abortion of a representative sample of adults aged 18 or older living in Great Britain. The application of IRMs to responses gathered from repeated assessments allows us to take the characteristics of both item responses and measurement error into consideration in the analysis of individual developmental trajectories, and helps resolve some difficult modeling issues commonly encountered in developmental research, such as small sample sizes, multiple discretely scaled items, many repeated assessments, and attrition over timeLa utilidad de los métodos Bayesianos en la estimación de modelos estadísticos complejos es innegable. Desde un punto de vista Bayesiano, el presente artículo busca demostrar la capacidad de los métodos Bayesianos y proponer un modelo exhaustivo que combina un modelo de medición y un modelo estructural. La utilidad de este método combinado se investiga usando datos reales tomados de una encuesta sobre actitudes sociales. El método combinado permite extraer las características de las respuestas a los ítems como de los errores en la medición para el análisis individual de trayectorias del desarrollo. Tales resultados permiten resolver asuntos que se presentan en investigación en psicología del desarrollo, e.g., tamaños de muestra pequeños, evaluaciones repetidas, etc.pdf34 páginasRecurso en lineaapplication/pdfHsieh, C., & Von Eye, A. (2010). The Best of Both Worlds: A Joint Modeling Approach for the Assessment of Change across Repeated Measurements. International Journal of Psychological Research (Vol. 3). Retrieved from http://bit.ly/2A2ciQu2011-7922http://hdl.handle.net/10819/6549spaEditorial BonaventurianaPsicologíaMedellínhttp://dx.doi.org/10.21500/20112084.862Atribución-NoComercial-SinDerivadas 2.5 ColombiaPor medio de este formato manifiesto mi voluntad de AUTORIZAR a la Universidad de San Buenaventura, Sede Bogotá, Seccionales Medellín, Cali y Cartagena, la difusión en texto completo de manera gratuita y por tiempo indefinido en la Biblioteca Digital Universidad de San Buenaventura, el documento académico-investigativo objeto de la presente autorización, con fines estrictamente educativos, científicos y culturales, en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión Andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre derechos de autor. Como autor manifiesto que el presente documento académico-investigativo es original y se realiza sin violar o usurpar derechos de autor de terceros, por lo tanto, la obra es de mi exclusiva autora y poseo la titularidad sobre la misma. La Universidad de San Buenaventura no será responsable de ninguna utilización indebida del documento por parte de terceros y será exclusivamente mi responsabilidad atender personalmente cualquier reclamación que pueda presentarse a la Universidad. Autorizo a la Biblioteca Digital de la Universidad de San Buenaventura convertir el documento al formato que el repositorio lo requiera (impreso, digital, electrónico o cualquier otro conocido o por conocer) o con fines de preservación digital. Esta autorización no implica renuncia a la facultad que tengo de publicar posteriormente la obra, en forma total o parcial, por lo cual podrá, dando aviso por escrito con no menos de un mes de antelación, solicitar que el documento deje de estar disponible para el público en la Biblioteca Digital de la Universidad de San Buenaventura, así mismo, cuando se requiera por razones legales y/o reglas del editor de una revista.http://creativecommons.org/licenses/by-nc-nd/2.5/co/http://purl.org/coar/access_right/c_abf2International Journal of Psychological ResearchUniversidad de San Buenaventura - MedellínBiblioteca Digital Universidad de San BuenaventuraBayesian inferenceGeneralized linear latent and mixed modeItem response modelLatent growth curve analysisSimulationAnálisis de curva de crecimiento latenteInferencia BayesianaModelo de respuesta al ítemModelo linear generalizado latente y mixtoSimulaciónEstadísticaInvestigación cuantitativaThe best of both worlds: a joint modeling approach for the assessment of change across repeated measurementsLo mejor de ambos mundos: una propuesta de modelamiento combinado para la evaluación del cambio a lo largo de mediciones repetidasArtículo de revistaArtículoinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1PublicationORIGINALBest_ Both_Worlds_Hsieh_2010.pdfBest_ Both_Worlds_Hsieh_2010.pdfapplication/pdf1858084https://bibliotecadigital.usb.edu.co/bitstreams/59d79e5a-1520-46d2-ba25-d16cf0d9c757/download6308d4d8f9820753ec0bf95111b7bf8eMD51LICENSElicense.txtlicense.txttext/plain; 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