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Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure

Objectives. To (1) describe participation in decision-making as a systems-level property of complex adaptive systems and (2) present empirical evidence of reliability and validity of a corresponding measure. Method. Study 1 was a mail survey of a single respondent (administrators or directors of nur...

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Autores principales: Anderson, Ruth A., Plowman, Donde, Corazzini, Kirsten, Hsieh, Pi-Ching, Su, Hui Fang, Landerman, Lawrence R., McDaniel, Reuben R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857844/
https://www.ncbi.nlm.nih.gov/pubmed/24349771
http://dx.doi.org/10.1155/2013/706842
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author Anderson, Ruth A.
Plowman, Donde
Corazzini, Kirsten
Hsieh, Pi-Ching
Su, Hui Fang
Landerman, Lawrence R.
McDaniel, Reuben R.
author_facet Anderson, Ruth A.
Plowman, Donde
Corazzini, Kirsten
Hsieh, Pi-Ching
Su, Hui Fang
Landerman, Lawrence R.
McDaniel, Reuben R.
author_sort Anderson, Ruth A.
collection PubMed
description Objectives. To (1) describe participation in decision-making as a systems-level property of complex adaptive systems and (2) present empirical evidence of reliability and validity of a corresponding measure. Method. Study 1 was a mail survey of a single respondent (administrators or directors of nursing) in each of 197 nursing homes. Study 2 was a field study using random, proportionally stratified sampling procedure that included 195 organizations with 3,968 respondents. Analysis. In Study 1, we analyzed the data to reduce the number of scale items and establish initial reliability and validity. In Study 2, we strengthened the psychometric test using a large sample. Results. Results demonstrated validity and reliability of the participation in decision-making instrument (PDMI) while measuring participation of workers in two distinct job categories (RNs and CNAs). We established reliability at the organizational level aggregated items scores. We established validity of the multidimensional properties using convergent and discriminant validity and confirmatory factor analysis. Conclusions. Participation in decision making, when modeled as a systems-level property of organization, has multiple dimensions and is more complex than is being traditionally measured. Managers can use this model to form decision teams that maximize the depth and breadth of expertise needed and to foster connection among them.
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spelling pubmed-38578442013-12-17 Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure Anderson, Ruth A. Plowman, Donde Corazzini, Kirsten Hsieh, Pi-Ching Su, Hui Fang Landerman, Lawrence R. McDaniel, Reuben R. Nurs Res Pract Research Article Objectives. To (1) describe participation in decision-making as a systems-level property of complex adaptive systems and (2) present empirical evidence of reliability and validity of a corresponding measure. Method. Study 1 was a mail survey of a single respondent (administrators or directors of nursing) in each of 197 nursing homes. Study 2 was a field study using random, proportionally stratified sampling procedure that included 195 organizations with 3,968 respondents. Analysis. In Study 1, we analyzed the data to reduce the number of scale items and establish initial reliability and validity. In Study 2, we strengthened the psychometric test using a large sample. Results. Results demonstrated validity and reliability of the participation in decision-making instrument (PDMI) while measuring participation of workers in two distinct job categories (RNs and CNAs). We established reliability at the organizational level aggregated items scores. We established validity of the multidimensional properties using convergent and discriminant validity and confirmatory factor analysis. Conclusions. Participation in decision making, when modeled as a systems-level property of organization, has multiple dimensions and is more complex than is being traditionally measured. Managers can use this model to form decision teams that maximize the depth and breadth of expertise needed and to foster connection among them. Hindawi Publishing Corporation 2013 2013-11-21 /pmc/articles/PMC3857844/ /pubmed/24349771 http://dx.doi.org/10.1155/2013/706842 Text en Copyright © 2013 Ruth A. Anderson et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Anderson, Ruth A.
Plowman, Donde
Corazzini, Kirsten
Hsieh, Pi-Ching
Su, Hui Fang
Landerman, Lawrence R.
McDaniel, Reuben R.
Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure
title Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure
title_full Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure
title_fullStr Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure
title_full_unstemmed Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure
title_short Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure
title_sort participation in decision making as a property of complex adaptive systems: developing and testing a measure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857844/
https://www.ncbi.nlm.nih.gov/pubmed/24349771
http://dx.doi.org/10.1155/2013/706842
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