suddengains: An R package to identify sudden gains in longitudinal data.

Sudden gains are large and stable improvements in an outcome variable between consecutive measurements, for example during a psychological intervention with multiple assessments. Researching these occurrences could help understand individual change processes in longitudinal data. Three criteria are...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Milan Wiedemann, Graham R Thew, Richard Stott, Anke Ehlers
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2020
Materias:
R
Q
Acceso en línea:https://doaj.org/article/2f6cc6d066b64137a9fc5b68cebcaab2
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:2f6cc6d066b64137a9fc5b68cebcaab2
record_format dspace
spelling oai:doaj.org-article:2f6cc6d066b64137a9fc5b68cebcaab22021-12-02T20:11:29Zsuddengains: An R package to identify sudden gains in longitudinal data.1932-620310.1371/journal.pone.0230276https://doaj.org/article/2f6cc6d066b64137a9fc5b68cebcaab22020-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0230276https://doaj.org/toc/1932-6203Sudden gains are large and stable improvements in an outcome variable between consecutive measurements, for example during a psychological intervention with multiple assessments. Researching these occurrences could help understand individual change processes in longitudinal data. Three criteria are generally used to identify sudden gains in psychological interventions. However, applying these criteria can be time consuming and prone to errors if not fully automated. Adaptations to these criteria and methodological decisions such as how multiple gains are handled vary across studies and are reported with different levels of detail. These problems limit the comparability of individual studies and make it hard to understand or replicate the exact methods used. The R package suddengains provides a set of tools to facilitate sudden gains research. This article illustrates how to use the package to identify sudden gains or sudden losses and how to extract descriptive statistics as well as exportable data files for further analysis. It also outlines how these analyses can be customised to apply adaptations of the standard criteria. The suddengains package therefore offers significant scope to improve the efficiency, reporting, and reproducibility of sudden gains research.Milan WiedemannGraham R ThewRichard StottAnke EhlersPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 15, Iss 3, p e0230276 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Milan Wiedemann
Graham R Thew
Richard Stott
Anke Ehlers
suddengains: An R package to identify sudden gains in longitudinal data.
description Sudden gains are large and stable improvements in an outcome variable between consecutive measurements, for example during a psychological intervention with multiple assessments. Researching these occurrences could help understand individual change processes in longitudinal data. Three criteria are generally used to identify sudden gains in psychological interventions. However, applying these criteria can be time consuming and prone to errors if not fully automated. Adaptations to these criteria and methodological decisions such as how multiple gains are handled vary across studies and are reported with different levels of detail. These problems limit the comparability of individual studies and make it hard to understand or replicate the exact methods used. The R package suddengains provides a set of tools to facilitate sudden gains research. This article illustrates how to use the package to identify sudden gains or sudden losses and how to extract descriptive statistics as well as exportable data files for further analysis. It also outlines how these analyses can be customised to apply adaptations of the standard criteria. The suddengains package therefore offers significant scope to improve the efficiency, reporting, and reproducibility of sudden gains research.
format article
author Milan Wiedemann
Graham R Thew
Richard Stott
Anke Ehlers
author_facet Milan Wiedemann
Graham R Thew
Richard Stott
Anke Ehlers
author_sort Milan Wiedemann
title suddengains: An R package to identify sudden gains in longitudinal data.
title_short suddengains: An R package to identify sudden gains in longitudinal data.
title_full suddengains: An R package to identify sudden gains in longitudinal data.
title_fullStr suddengains: An R package to identify sudden gains in longitudinal data.
title_full_unstemmed suddengains: An R package to identify sudden gains in longitudinal data.
title_sort suddengains: an r package to identify sudden gains in longitudinal data.
publisher Public Library of Science (PLoS)
publishDate 2020
url https://doaj.org/article/2f6cc6d066b64137a9fc5b68cebcaab2
work_keys_str_mv AT milanwiedemann suddengainsanrpackagetoidentifysuddengainsinlongitudinaldata
AT grahamrthew suddengainsanrpackagetoidentifysuddengainsinlongitudinaldata
AT richardstott suddengainsanrpackagetoidentifysuddengainsinlongitudinaldata
AT ankeehlers suddengainsanrpackagetoidentifysuddengainsinlongitudinaldata
_version_ 1718374874483785728