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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9765197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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