A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs

Accelerated longitudinal designs (ALD) allow studying developmental processes usually spanning multiple years in a much shorter time framework by including participants from different age cohorts, which are assumed to share the same population parameters. However, different cohorts may have been exp...

Descripción completa

Detalles Bibliográficos
Autores: Cáncer, Pablo F., Estrada Alonso, Eduardo, Ferrer, Emilio
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/712413
Acceso en línea:http://hdl.handle.net/10486/712413
https://dx.doi.org/10.1080/10705511.2022.2163647
Access Level:acceso abierto
Palabra clave:accelerated longitudinal designs
cohort differences
continuous time models
latent change score models
speed of maturation
state space models
Psicología
id ES_9ff09bbb276dd4ae1400cafe2bd39ced
oai_identifier_str oai:repositorio.uam.es:10486/712413
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designsCáncer, Pablo F.Estrada Alonso, EduardoFerrer, Emilioaccelerated longitudinal designscohort differencescontinuous time modelslatent change score modelsspeed of maturationstate space modelsPsicologíaAccelerated longitudinal designs (ALD) allow studying developmental processes usually spanning multiple years in a much shorter time framework by including participants from different age cohorts, which are assumed to share the same population parameters. However, different cohorts may have been exposed to dissimilar contextual factors, resulting in different developmental trajectories. If such differences are not accounted for, the generating process will not be adequately characterized. In this paper, we propose a continuous-time latent change score model as an approach to capture cohort differences affecting the speed of maturation of psychological processes in ALDs. This approach fills an important gap in the literature because, until now, no method existed for this goal. Using a Monte-Carlo simulation study, we show that the proposed model detects cohort differences adequately, regardless of their size in the population. Our proposed model can help developmental researchers control for cohort effects in the context of ALDsThis work was funded by the Ministry of Science and Innovation of Spain [ref. PID2019-107570GA-I00Taylor & FrancisDepartamento de Psicología Social y MetodologíaFacultad de Psicología20232023-01-24research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/712413https://dx.doi.org/10.1080/10705511.2022.2163647reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7124132026-06-23T12:46:27Z
dc.title.none.fl_str_mv A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
title A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
spellingShingle A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
Cáncer, Pablo F.
accelerated longitudinal designs
cohort differences
continuous time models
latent change score models
speed of maturation
state space models
Psicología
title_short A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
title_full A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
title_fullStr A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
title_full_unstemmed A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
title_sort A Dynamic approach to control for cohort differences in maturation speed using accelerated longitudinal designs
dc.creator.none.fl_str_mv Cáncer, Pablo F.
Estrada Alonso, Eduardo
Ferrer, Emilio
author Cáncer, Pablo F.
author_facet Cáncer, Pablo F.
Estrada Alonso, Eduardo
Ferrer, Emilio
author_role author
author2 Estrada Alonso, Eduardo
Ferrer, Emilio
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Psicología Social y Metodología
Facultad de Psicología
dc.subject.none.fl_str_mv accelerated longitudinal designs
cohort differences
continuous time models
latent change score models
speed of maturation
state space models
Psicología
topic accelerated longitudinal designs
cohort differences
continuous time models
latent change score models
speed of maturation
state space models
Psicología
description Accelerated longitudinal designs (ALD) allow studying developmental processes usually spanning multiple years in a much shorter time framework by including participants from different age cohorts, which are assumed to share the same population parameters. However, different cohorts may have been exposed to dissimilar contextual factors, resulting in different developmental trajectories. If such differences are not accounted for, the generating process will not be adequately characterized. In this paper, we propose a continuous-time latent change score model as an approach to capture cohort differences affecting the speed of maturation of psychological processes in ALDs. This approach fills an important gap in the literature because, until now, no method existed for this goal. Using a Monte-Carlo simulation study, we show that the proposed model detects cohort differences adequately, regardless of their size in the population. Our proposed model can help developmental researchers control for cohort effects in the context of ALDs
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-24
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/712413
https://dx.doi.org/10.1080/10705511.2022.2163647
url http://hdl.handle.net/10486/712413
https://dx.doi.org/10.1080/10705511.2022.2163647
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414969997524992
score 15,300719

Similares en LA Referencia