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USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE

BACKGROUND: One way to contribute person-centered care is the use of a preference-based approach. In our project PELI-D the original PELI USA-version for Nursing Homes was (1) translated into German (2) and structured to explore construct validity of the instrument. Objective and Method: The PELI-D...

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Autores principales: Bergmann, Johannes-Michael, Stacke, Tobias, Purwins, Daniel, Manietta, Christina, Rommerskirch-Manietta, Mike, Stroebel, Armin, Roes, Martina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765197/
http://dx.doi.org/10.1093/geroni/igac059.702
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author Bergmann, Johannes-Michael
Stacke, Tobias
Purwins, Daniel
Manietta, Christina
Rommerskirch-Manietta, Mike
Stroebel, Armin
Roes, Martina
author_facet Bergmann, Johannes-Michael
Stacke, Tobias
Purwins, Daniel
Manietta, Christina
Rommerskirch-Manietta, Mike
Stroebel, Armin
Roes, Martina
author_sort Bergmann, Johannes-Michael
collection PubMed
description BACKGROUND: One way to contribute person-centered care is the use of a preference-based approach. In our project PELI-D the original PELI USA-version for Nursing Homes was (1) translated into German (2) and structured to explore construct validity of the instrument. Objective and Method: The PELI-D instrument (72-items) is used to illustrate how structuring procedures can be used for concept analysis. The approach allows to analyze the instrument from the perspective of the professional caregivers and to identify theoretical relations in further steps, which can be finally validated. For this purpose, the data of 58 professional nurses are analyzed. RESULTS: We computed a three-dimensional concept map of preferences enabled us in a second step to identify an appropriate cluster solution. The five-cluster solution, which explained 79 percent of the total variance, seemed to offer the best balance between statistical analysis and detailed categorisation through qualitative interpretation.
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spelling pubmed-97651972022-12-20 USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE Bergmann, Johannes-Michael Stacke, Tobias Purwins, Daniel Manietta, Christina Rommerskirch-Manietta, Mike Stroebel, Armin Roes, Martina Innov Aging Abstracts BACKGROUND: One way to contribute person-centered care is the use of a preference-based approach. In our project PELI-D the original PELI USA-version for Nursing Homes was (1) translated into German (2) and structured to explore construct validity of the instrument. Objective and Method: The PELI-D instrument (72-items) is used to illustrate how structuring procedures can be used for concept analysis. The approach allows to analyze the instrument from the perspective of the professional caregivers and to identify theoretical relations in further steps, which can be finally validated. For this purpose, the data of 58 professional nurses are analyzed. RESULTS: We computed a three-dimensional concept map of preferences enabled us in a second step to identify an appropriate cluster solution. The five-cluster solution, which explained 79 percent of the total variance, seemed to offer the best balance between statistical analysis and detailed categorisation through qualitative interpretation. Oxford University Press 2022-12-20 /pmc/articles/PMC9765197/ http://dx.doi.org/10.1093/geroni/igac059.702 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Bergmann, Johannes-Michael
Stacke, Tobias
Purwins, Daniel
Manietta, Christina
Rommerskirch-Manietta, Mike
Stroebel, Armin
Roes, Martina
USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE
title USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE
title_full USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE
title_fullStr USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE
title_full_unstemmed USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE
title_short USING MULTIDIMENSIONAL SCALING IN COMBINATION WITH CLUSTER ANALYSIS TO STRUCTURE THE PELI-D QUESTIONNAIRE
title_sort using multidimensional scaling in combination with cluster analysis to structure the peli-d questionnaire
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765197/
http://dx.doi.org/10.1093/geroni/igac059.702
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