Transplant Symptom Inventory (TSI): A Confirmatory Factor Analysis (CFA) Using Parcels

2.50
Hdl Handle:
http://hdl.handle.net/10755/158569
Type:
Presentation
Title:
Transplant Symptom Inventory (TSI): A Confirmatory Factor Analysis (CFA) Using Parcels
Abstract:
Transplant Symptom Inventory (TSI): A Confirmatory Factor Analysis (CFA) Using Parcels
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2006
Author:Lefaiver, Cheryl, MSN, RN
P.I. Institution Name:Loyola University, Chicago - SON
Title:Project Director
Contact Address:Bldg 105 Room 2840, 2160 S. First Ave., Maywood, IL, 60153, USA
Contact Telephone:708-216-8097
Co-Authors:Dorothy M. Lanuza, PhD, MS, BSN, Professor
Purpose: To test the psychometric properties and model fit of the TSI. Theoretical/Conceptual Framework: The Roy Adaptation Model and Wilson and Cleary's Quality of Life (QOL) Conceptual Model guided this study. Subjects: The sample consisted of 162 lung transplant candidates; mean age 47.7 years, predominantly female (58.6%), white (79%) and diagnosed with Emphysema (24.7%). Method: Candidates recruited at a clinic appointment returned self-administered instruments via a pre-paid mailer. The TSI, a newly developed two part instrument, measures symptom frequency and symptom distress. Weighted item scores reflect frequency adjusted for the amount of reported distress for that item. Pre transplant TSI data served as a baseline measurement for a longitudinal pre to post transplant QOL study. Results: CFA and item-to-construct balance were used to reduce 67 items into 13 parcels (Cronbach alpha = .941). Unidimensional, oblique and orthogonal four factor models, and a second factor model with four first factors were tested and compared. A priori testing revealed the oblique four factor and second order models to have the best model fit. However, post hoc analyses with reconfigured 10 parcels suggested the second factor model with three subscales had superior model and conceptual fit for this sample (see table). Conclusion: The TSI is a reliable, valid instrument that measures the concept of transplant symptom distress with three subscales of dyspnea-fatigue; mood-cognitive; and physical. Model Fit [Note- it was not possible to display the original table for this posting.] A priori CFA Model: Satorra-Bentler Sealer Scaled------df------RMSEA------GFI------CFI-----------------(N = 151, 59 items)--------------c2-------------------------------------------------------------------------------One 2nd-order Symptom.------74.49-------------------------61-------.038-------.089-----.979----------------factor & four 1st-order factors (Dyspnea-fatigue, Body Image, Mood, Physical)-------------------------------Post Hoc CFA Model (N = 159, 45 items)-------------------------------------------------------------------------One 2nd-order Symptom ------43.56-------------------------32-------.048--------.92------.98 ----------------factor & three 1st-order factors (Dyspnea-fatigue, Mood, Physical)--------------------------------[Poster Presentation]
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleTransplant Symptom Inventory (TSI): A Confirmatory Factor Analysis (CFA) Using Parcelsen_GB
dc.identifier.urihttp://hdl.handle.net/10755/158569-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Transplant Symptom Inventory (TSI): A Confirmatory Factor Analysis (CFA) Using Parcels</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2006</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Lefaiver, Cheryl, MSN, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Loyola University, Chicago - SON</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Project Director</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">Bldg 105 Room 2840, 2160 S. First Ave., Maywood, IL, 60153, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">708-216-8097</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">clefaiv@luc.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Dorothy M. Lanuza, PhD, MS, BSN, Professor</td></tr><tr><td colspan="2" class="item-abstract">Purpose: To test the psychometric properties and model fit of the TSI. Theoretical/Conceptual Framework: The Roy Adaptation Model and Wilson and Cleary's Quality of Life (QOL) Conceptual Model guided this study. Subjects: The sample consisted of 162 lung transplant candidates; mean age 47.7 years, predominantly female (58.6%), white (79%) and diagnosed with Emphysema (24.7%). Method: Candidates recruited at a clinic appointment returned self-administered instruments via a pre-paid mailer. The TSI, a newly developed two part instrument, measures symptom frequency and symptom distress. Weighted item scores reflect frequency adjusted for the amount of reported distress for that item. Pre transplant TSI data served as a baseline measurement for a longitudinal pre to post transplant QOL study. Results: CFA and item-to-construct balance were used to reduce 67 items into 13 parcels (Cronbach alpha = .941). Unidimensional, oblique and orthogonal four factor models, and a second factor model with four first factors were tested and compared. A priori testing revealed the oblique four factor and second order models to have the best model fit. However, post hoc analyses with reconfigured 10 parcels suggested the second factor model with three subscales had superior model and conceptual fit for this sample (see table). Conclusion: The TSI is a reliable, valid instrument that measures the concept of transplant symptom distress with three subscales of dyspnea-fatigue; mood-cognitive; and physical. Model Fit [Note- it was not possible to display the original table for this posting.] A priori CFA Model: Satorra-Bentler Sealer Scaled------df------RMSEA------GFI------CFI-----------------(N = 151, 59 items)--------------c2-------------------------------------------------------------------------------One 2nd-order Symptom.------74.49-------------------------61-------.038-------.089-----.979----------------factor &amp; four 1st-order factors (Dyspnea-fatigue, Body Image, Mood, Physical)-------------------------------Post Hoc CFA Model (N = 159, 45 items)-------------------------------------------------------------------------One 2nd-order Symptom ------43.56-------------------------32-------.048--------.92------.98 ----------------factor &amp; three 1st-order factors (Dyspnea-fatigue, Mood, Physical)--------------------------------[Poster Presentation]</td></tr></table>en_GB
dc.date.available2011-10-26T21:11:07Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:11:07Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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