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Research design and subject characte...

Neumark, Donna Edwards.

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Research design and subject characteristics predicting sample attrition in a panel survey of older families with cancer: An ecological model and empirical tests.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Research design and subject characteristics predicting sample attrition in a panel survey of older families with cancer: An ecological model and empirical tests./
Author:	Neumark, Donna Edwards.
Description:	151 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-09, Section: A, page: 3306.
Contained By:	Dissertation Abstracts International63-09A.
Subject:	Gerontology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3064280
ISBN:	0493831371

Research design and subject characteristics predicting sample attrition in a panel survey of older families with cancer: An ecological model and empirical tests.
Neumark, Donna Edwards.

Research design and subject characteristics predicting sample attrition in a panel survey of older families with cancer: An ecological model and empirical tests. - 151 p.

Source: Dissertation Abstracts International, Volume: 63-09, Section: A, page: 3306.

Thesis (Ph.D.)--Michigan State University, 2002.

A common problem in the conduct of health care research with families is sample attrition. Researchers describe racial, cultural, gender, functional, psychological, and age-related variables associated with higher attrition in surveys, cancer prevention trials, and intervention research. Others suggest that the research design has substantial effects on subjects' attrition and retention over time. Sharing strategies is imperative, however, comprehensive frameworks which encompass subject, societal, and research design characteristics have not been systematically applied to panel health care surveys.

ISBN: 0493831371Subjects--Topical Terms:

533633
Gerontology.

Research design and subject characteristics predicting sample attrition in a panel survey of older families with cancer: An ecological model and empirical tests.
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100 1 $a Neumark, Donna Edwards. $3 1925215
245 1 0 $a Research design and subject characteristics predicting sample attrition in a panel survey of older families with cancer: An ecological model and empirical tests.
300 $a 151 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-09, Section: A, page: 3306.
500 $a Adviser: Barbara Ames.
502 $a Thesis (Ph.D.)--Michigan State University, 2002.
520 $a A common problem in the conduct of health care research with families is sample attrition. Researchers describe racial, cultural, gender, functional, psychological, and age-related variables associated with higher attrition in surveys, cancer prevention trials, and intervention research. Others suggest that the research design has substantial effects on subjects' attrition and retention over time. Sharing strategies is imperative, however, comprehensive frameworks which encompass subject, societal, and research design characteristics have not been systematically applied to panel health care surveys.
520 $a This dissertation achieves two purposes. The first is the development of the Ecological Model of Sample Attrition (EMSA). The model conceptualizes the interactions of subject characteristics, research design features, and the societal, family, and health care environments that influence whether subjects participate or do not participate in family health care panel surveys, and whether participating subjects drop out over time. The second purpose is to test the ecological model. Statistical techniques are used to examine the relationships between research design and subject predictors on the outcome of attrition from a sample of older individuals with cancer and their families. Data are from the Family Care Study, a survey of elderly cancer patients and family caregivers, interviewed by telephone 4 times in the first year after cancer diagnosis.
520 $a Two secondary analyses are discussed. In the first, demographic and cancer variables and features of the study protocol are used as predictors in a multinomial logit regression model to compare those who declined participation (n = 748), consenters who dropped out before the first interview (n = 208), and consenters who participated in the interview (n = 992). Among subject characteristics, age and cancer diagnosis played major roles in whether consent was obtained. Race did not influence consent but increased odds of early drop out. Study design features, such as if caregivers participated, recruitment staff roles, and whether recruiters were paid, strongly affected the probability of subjects declining participation or dropping out prior to the interview. In the second analysis, similar subject and research design variables, as well as data from patient interviews, are included in pooled time-series cross-section models to compare those who died (n = 133) or those who dropped out (n = 168), to those who remained on the study for one year (n = 704). The analysis helped distinguish that when attrition was due to reasons other than death, research design characteristics were more likely to be associated with the attrition. Thus, the effects of the research design characteristics diminished, mainly in the later waves of the study, when odds of dropping out for reasons other than death decreased.
520 $a Sample attrition is inevitable in studies about families with cancer. Although having little control over health or age-related reasons contributing to attrition, researchers can design studies flexible to the needs of ill participants, families, and project personnel, particularly during accrual and the early phases of data collection. Studies investigating sample attrition are needed. Predicting who is prone to decline participation or to drop out, and why, may help researchers target efforts and reduce the extent to which study-related factors contribute to attrition.
590 $a School code: 0128.
650 4 $a Gerontology. $3 533633
650 4 $a Health Sciences, Nursing. $3 1017798
650 4 $a Health Sciences, Oncology. $3 1018566
650 4 $a Sociology, Theory and Methods. $3 626625
690 $a 0351
690 $a 0569
690 $a 0992
690 $a 0344
710 2 0 $a Michigan State University. $3 676168
773 0 $t Dissertation Abstracts International $g 63-09A.
790 1 0 $a Ames, Barbara, $e advisor
790 $a 0128
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3064280