2.50
Hdl Handle:
http://hdl.handle.net/10755/152992
Type:
Presentation
Title:
Rasch Analysis of the Power as Knowing Participation in Change Tool
Abstract:
Rasch Analysis of the Power as Knowing Participation in Change Tool
Conference Sponsor:Sigma Theta Tau International
Conference Year:2011
Author:Guedes, Erika de Souza, RN
P.I. Institution Name:University of Sao Paulo
Title:Master Student
Co-Authors:Mariana Alvina Santos RN, MNSc, Doctoral Student
Fabiana Goncalves Matos RN, MNSc, Assistant Professor and Doctoral Student
Michelle Mendes Trindade RN, Master Student
Luis Carlos Orozco Vargas MD, MEpi, Associate Professor
Dina de Almeida Lopes Monteiro
[22nd International Nursing Research Congress - Research Presentation] Purpose: The 48 item Power as Knowing Participation in Change Tool (PKPCT) has been used to assess power. Modern psychometric theory has established new quality standards for measurement tools going beyond reliability and validity emphasized by classical test theory. The aim of this study was to examine the psychometric properties of the PKPCT - Brazilian Version by means of the Rasch analysis.
Methods:  A questionnaire, including the PKPCT adapted to Portuguese Brazilian language by means of back translation, was answered by 458 nurses or baccalaureate students. Responses were assessed in terms of Cronbach's alpha, factor analysis, and Rasch analysis.
Results: The four domains of the PKPCT (12 items each) as also as the overall tool showed good internal consistency (Cronbach's alpha ranged from 0.87 to 0.96). Unrotated factor analysis (principal components analysis) of the 48 items showed nine eigenvalues greater than 1 and explained 66.6% of the variance. A reduction from seven to four rating categories was needed to comply with criteria for correct category function in Rasch analysis. The factor analysis in Rasch showed 4.9 eigenvalues greater than 1.0. Factor analysis of each domain confirmed sufficient unidimensionality, so each domain was analyzed separately. Person reliability ranged between 0.86 and 0.90. Item reliability ranged between 0.98 and 0.99. The mean infit and outfit of the four domains ranged between 1.00 and 1.04 meaning the response patterns fit the expected pattern measurement. The precision of measurement depends on how well the items of an instrument separate individuals of different ability levels. The person-separation index of the four domains ranged from 2,43 to 3,03. 
Conclusion: Rasch analysis enabled us to confirm the validity of PKPCT - Brazilian Version as a four-scale tool to measure power. Summing scores of all 48 items is not recommended because unidimensionality was not supported by Rasch Analysis.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleRasch Analysis of the Power as Knowing Participation in Change Toolen_GB
dc.identifier.urihttp://hdl.handle.net/10755/152992-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Rasch Analysis of the Power as Knowing Participation in Change Tool</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2011</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Guedes, Erika de Souza, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Sao Paulo</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Master Student</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">guedes_erika@hotmail.com</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Mariana Alvina Santos RN, MNSc, Doctoral Student<br/>Fabiana Goncalves Matos RN, MNSc, Assistant Professor and Doctoral Student<br/>Michelle Mendes Trindade RN, Master Student<br/>Luis Carlos Orozco Vargas MD, MEpi, Associate Professor<br/>Dina de Almeida Lopes Monteiro </td></tr><tr><td colspan="2" class="item-abstract">[22nd International Nursing Research Congress - Research Presentation] Purpose:&nbsp;The 48 item Power as Knowing Participation in Change Tool (PKPCT) has been used to assess power. Modern psychometric theory has established new quality standards for measurement tools going beyond reliability and validity emphasized by classical test theory. The aim of this study was to examine the psychometric properties of the PKPCT - Brazilian Version by means of the Rasch analysis. <br/>Methods:&nbsp;&nbsp;A questionnaire, including the PKPCT adapted to Portuguese Brazilian language by means of back translation, was answered by 458 nurses or baccalaureate students. Responses were assessed in terms of Cronbach's alpha, factor analysis, and Rasch analysis. <br/>Results: The four domains of the PKPCT (12 items each) as also as the overall tool showed good internal consistency (Cronbach's alpha ranged from 0.87 to 0.96). Unrotated factor analysis (principal components analysis) of the 48 items showed nine eigenvalues greater than 1 and explained 66.6% of the variance. A reduction from seven to four rating categories was needed to comply with criteria for correct category function in Rasch analysis. The factor analysis in Rasch showed 4.9 eigenvalues greater than 1.0. Factor analysis of each domain confirmed sufficient unidimensionality, so each domain was analyzed separately. Person reliability ranged between 0.86 and 0.90. Item reliability ranged between 0.98 and 0.99. The mean infit and outfit of the four domains ranged between 1.00 and 1.04 meaning the response patterns fit the expected pattern measurement. The precision of measurement depends on how well the items of an instrument separate individuals of different ability levels. The person-separation index of the four domains ranged from 2,43 to 3,03.&nbsp; <br/>Conclusion:&nbsp;Rasch analysis enabled us to confirm the validity of PKPCT - Brazilian Version as a four-scale tool to measure power. Summing scores of all 48 items is not recommended because unidimensionality was not supported by Rasch Analysis.</td></tr></table>en_GB
dc.date.available2011-10-26T11:58:04Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T11:58:04Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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