Multivariate Assessment of the Effects of Participant Attrition in Longitudinal Research

2.50
Hdl Handle:
http://hdl.handle.net/10755/155623
Type:
Presentation
Title:
Multivariate Assessment of the Effects of Participant Attrition in Longitudinal Research
Abstract:
Multivariate Assessment of the Effects of Participant Attrition in Longitudinal Research
Conference Sponsor:Sigma Theta Tau International
Conference Year:2004
Conference Date:July 22-24, 2004
Author:Zalon, Margarete Lieb, PhD, RN, APRN, BC
P.I. Institution Name:University of Scranton
Title:Professor of Nursing
Objective: Participant attrition may affect the results of longitudinal research when the probability of continuing depends on the values of one or more of the variables. The aim was to assess the non-random sampling effects of participant attrition in a four-wave longitudinal study that examined the relationship of pain, fatigue, depression in relation to self-perception of recovery and functional status in persons aged 60 and older recovering from major abdominal surgery using procedures recommended by Goodman and Blum (1996). Sample: This was a secondary data analysis for a study examining correlates of recovery after major abdominal surgery conducted from 1997-2000. The sample consisted of 192 patients, 102 females and 90 males, aged 60 years and older. Method: Data were collected during hospitalization, and then by telephone three to five days, one month and three months following discharge. Depression, fatigue, pain and functional status were measured with the Geriatric Depression Scale Short-Form (Sheikh & Yesavage, 1986), Modified Fatigue Symptom Checklist (Yoshitake, 1971; Pugh, 1993), Brief Pain Inventory (Daut, Cleeland & Flanery, 1983) and Enforced Social Dependency Scale (Benoliel, McCorkle & Young, 1980). Self-perception of recovery was measured with a single question. Results: Logistic regression analysis with the initial pain, fatigue, depression and self-perception of recovery measurements indicated those completing the study were significantly different from dropouts. Statistically significant logistic coefficients indicated dropouts scored higher in depressive symptoms and had lower recovery ratings. Participant attrition affected means, variances and relationships among the variables. Conclusions: The impact of pain, fatigue, depression and perception of recovery on subsequent participation may underestimate the magnitude of relationships among these variables. Implications: A multivariate approach should be used to examine attrition effects by assessing the presence of non-random sampling in longitudinal studies. Such an approach facilitates more accurate interpretation of findings.
Repository Posting Date:
26-Oct-2011
Date of Publication:
22-Jul-2004
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleMultivariate Assessment of the Effects of Participant Attrition in Longitudinal Researchen_GB
dc.identifier.urihttp://hdl.handle.net/10755/155623-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Multivariate Assessment of the Effects of Participant Attrition in Longitudinal Research</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">2004</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">July 22-24, 2004</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Zalon, Margarete Lieb, PhD, RN, APRN, BC</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Scranton</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Professor of Nursing</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">margarete.zalon@scranton.edu</td></tr><tr><td colspan="2" class="item-abstract">Objective: Participant attrition may affect the results of longitudinal research when the probability of continuing depends on the values of one or more of the variables. The aim was to assess the non-random sampling effects of participant attrition in a four-wave longitudinal study that examined the relationship of pain, fatigue, depression in relation to self-perception of recovery and functional status in persons aged 60 and older recovering from major abdominal surgery using procedures recommended by Goodman and Blum (1996). Sample: This was a secondary data analysis for a study examining correlates of recovery after major abdominal surgery conducted from 1997-2000. The sample consisted of 192 patients, 102 females and 90 males, aged 60 years and older. Method: Data were collected during hospitalization, and then by telephone three to five days, one month and three months following discharge. Depression, fatigue, pain and functional status were measured with the Geriatric Depression Scale Short-Form (Sheikh &amp; Yesavage, 1986), Modified Fatigue Symptom Checklist (Yoshitake, 1971; Pugh, 1993), Brief Pain Inventory (Daut, Cleeland &amp; Flanery, 1983) and Enforced Social Dependency Scale (Benoliel, McCorkle &amp; Young, 1980). Self-perception of recovery was measured with a single question. Results: Logistic regression analysis with the initial pain, fatigue, depression and self-perception of recovery measurements indicated those completing the study were significantly different from dropouts. Statistically significant logistic coefficients indicated dropouts scored higher in depressive symptoms and had lower recovery ratings. Participant attrition affected means, variances and relationships among the variables. Conclusions: The impact of pain, fatigue, depression and perception of recovery on subsequent participation may underestimate the magnitude of relationships among these variables. Implications: A multivariate approach should be used to examine attrition effects by assessing the presence of non-random sampling in longitudinal studies. Such an approach facilitates more accurate interpretation of findings.</td></tr></table>en_GB
dc.date.available2011-10-26T14:00:57Z-
dc.date.issued2004-07-22en_GB
dc.date.accessioned2011-10-26T14:00:57Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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