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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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Nursing Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2013/706842 |
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| author | Ruth A. Anderson Donde Plowman Kirsten Corazzini Pi-Ching Hsieh Hui Fang Su Lawrence R. Landerman Reuben R. McDaniel |
| author_facet | Ruth A. Anderson Donde Plowman Kirsten Corazzini Pi-Ching Hsieh Hui Fang Su Lawrence R. Landerman Reuben R. McDaniel |
| author_sort | Ruth A. Anderson |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-af94a6989a7a4662b648ff71eaf89ac3 |
| institution | Kabale University |
| issn | 2090-1429 2090-1437 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Nursing Research and Practice |
| spelling | doaj-art-af94a6989a7a4662b648ff71eaf89ac32025-02-03T00:59:53ZengWileyNursing Research and Practice2090-14292090-14372013-01-01201310.1155/2013/706842706842Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a MeasureRuth A. Anderson0Donde Plowman1Kirsten Corazzini2Pi-Ching Hsieh3Hui Fang Su4Lawrence R. Landerman5Reuben R. McDaniel6Duke University School of Nursing, DUMC Box 3322, Durham, NC 27710, USAThe University of Nebraska-Lincoln, College of Business Administration, Lincoln, NE 68508, USADuke University School of Nursing, DUMC Box 3322, Durham, NC 27710, USANational Taipei University of Nursing and Health Sciences, Health and Nursing Service Administration Department, Beitou District, Taipei City 112, TaiwanNational Taipei University of Nursing and Health Sciences, Health and Nursing Service Administration Department, Beitou District, Taipei City 112, TaiwanDuke University, Center for the Study Aging and Human Development, Durham, NC 27710, USAThe University of Texas at Austin, McCombs School of Business, Austin, TX 78705, USAObjectives. 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.http://dx.doi.org/10.1155/2013/706842 |
| spellingShingle | Ruth A. Anderson Donde Plowman Kirsten Corazzini Pi-Ching Hsieh Hui Fang Su Lawrence R. Landerman Reuben R. McDaniel Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure Nursing Research and Practice |
| 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 |
| url | http://dx.doi.org/10.1155/2013/706842 |
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