Educational psychology in latin america: with linear hierarchical models

Research in clinical psychology, since its inception, has been aimed at analyzing, predicting and explaining the effect of treatments, by studying the change of patients in the course of them. To study the effects of therapy, research based on quantitative analysis models has historically used class...

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Autores:
silva d, jesus g
solano, darwin
Fernández, Claudia
Romero Marin, Ligia Cielo
ORELLANO LLINAS, NATALY
Negrete Sepúlveda, Ana María
León Coronado, Luz Estela
Barrios González, Rosio
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6078
Acceso en línea:
https://hdl.handle.net/11323/6078
https://repositorio.cuc.edu.co/
Palabra clave:
Hierarchical linear models
Growth curve models
Multilevel models
Psychotherapy
Rights
openAccess
License
CC0 1.0 Universal
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/6078
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Educational psychology in latin america: with linear hierarchical models
title Educational psychology in latin america: with linear hierarchical models
spellingShingle Educational psychology in latin america: with linear hierarchical models
Hierarchical linear models
Growth curve models
Multilevel models
Psychotherapy
title_short Educational psychology in latin america: with linear hierarchical models
title_full Educational psychology in latin america: with linear hierarchical models
title_fullStr Educational psychology in latin america: with linear hierarchical models
title_full_unstemmed Educational psychology in latin america: with linear hierarchical models
title_sort Educational psychology in latin america: with linear hierarchical models
dc.creator.fl_str_mv silva d, jesus g
solano, darwin
Fernández, Claudia
Romero Marin, Ligia Cielo
ORELLANO LLINAS, NATALY
Negrete Sepúlveda, Ana María
León Coronado, Luz Estela
Barrios González, Rosio
dc.contributor.author.spa.fl_str_mv silva d, jesus g
solano, darwin
Fernández, Claudia
Romero Marin, Ligia Cielo
ORELLANO LLINAS, NATALY
Negrete Sepúlveda, Ana María
León Coronado, Luz Estela
Barrios González, Rosio
dc.subject.spa.fl_str_mv Hierarchical linear models
Growth curve models
Multilevel models
Psychotherapy
topic Hierarchical linear models
Growth curve models
Multilevel models
Psychotherapy
description Research in clinical psychology, since its inception, has been aimed at analyzing, predicting and explaining the effect of treatments, by studying the change of patients in the course of them. To study the effects of therapy, research based on quantitative analysis models has historically used classical methods of parametric statistics, such as Pearson correlations, least squares regressions Student’s T-Tests and Variance Analysis (ANOVA). Hierarchical linear models (HLMs) represent a fundamental statistical strategy for research in psychotherapy, as they allow to overcome dependence on the observations usually presented in your data. The objective of this work is to present a guide to understanding, applying and reporting HLMs to study the effects of psychotherapy.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-11
dc.date.accessioned.none.fl_str_mv 2020-03-03T22:50:03Z
dc.date.available.none.fl_str_mv 2020-03-03T22:50:03Z
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ARTOTR
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/6078
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/6078
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv CC0 1.0 Universal
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/publicdomain/zero/1.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
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eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv Universidad de la Costa
institution Corporación Universidad de la Costa
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spelling silva d, jesus g1f6ba3473d23b4212c7f525ad6a550bcsolano, darwin59349389810fd54973d588919e60ec18Fernández, Claudiad40bc8a9b1240baca43b8b1425abecefRomero Marin, Ligia Cielo4300794b3051ef176ce3fed4897c5694ORELLANO LLINAS, NATALY57d22b524aa314c638688523ea2f7fc6Negrete Sepúlveda, Ana Maríaed0e359952a4864b3cebdb28c45cecc6300León Coronado, Luz Estela9ef9178a72ae2177839fb8f3137e0d27Barrios González, Rosioe8faffc2497b0d719bd1a08d37238f0d2020-03-03T22:50:03Z2020-03-03T22:50:03Z2019-11https://hdl.handle.net/11323/6078Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Research in clinical psychology, since its inception, has been aimed at analyzing, predicting and explaining the effect of treatments, by studying the change of patients in the course of them. To study the effects of therapy, research based on quantitative analysis models has historically used classical methods of parametric statistics, such as Pearson correlations, least squares regressions Student’s T-Tests and Variance Analysis (ANOVA). Hierarchical linear models (HLMs) represent a fundamental statistical strategy for research in psychotherapy, as they allow to overcome dependence on the observations usually presented in your data. 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