BACKGROUND: In this paper we compare the results in an analysis of determinants of caregivers' health derived from two approaches, a structural equation model and a log-linear model, using the same data set. METHODS: The data were collected from a cross-sectional population-based sample of 468 families in Ontario, Canada who had a child with cerebral palsy (CP). The self-completed questionnaires and the home-based interviews used in this study included scales reflecting socio-economic status, child and caregiver characteristics, and the physical and psychological well-being of the caregivers. Both analytic models were used to evaluate the relationships between child behaviour, caregiving demands, coping factors, and the well-being of primary caregivers of children with CP. RESULTS: The results were compared, together with an assessment of the positive and negative aspects of each approach, including their practical and conceptual implications. CONCLUSION: No important differences were found in the substantive conclusions of the two analyses. The broad confirmation of the Structural Equation Modeling (SEM) results by the Log-linear Modeling (LLM) provided some reassurance that the SEM had been adequately specified, and that it broadly fitted the data.
%0 Journal Article
%1 Zhu2006
%A Zhu, Bin
%A Walter, Stephen D
%A Rosenbaum, Peter L
%A Russell, Dianne J
%A Raina, Parminder
%D 2006
%J BMC Med Res Methodol
%K Adaptation, Psychological; Adult; Caregivers; Cerebral Palsy; Child; Cross-Sectional Studies; Disabled Children; Family; Female; Health Status; Humans; Linear Models; Logistic Male; Ontario; Questionnaires; Self Concept; Social Support; Socioeconomic Factors
%P 49
%R 10.1186/1471-2288-6-49
%T Structural equation and log-linear modeling: a comparison of methods in the analysis of a study on caregivers' health.
%U http://dx.doi.org/10.1186/1471-2288-6-49
%V 6
%X BACKGROUND: In this paper we compare the results in an analysis of determinants of caregivers' health derived from two approaches, a structural equation model and a log-linear model, using the same data set. METHODS: The data were collected from a cross-sectional population-based sample of 468 families in Ontario, Canada who had a child with cerebral palsy (CP). The self-completed questionnaires and the home-based interviews used in this study included scales reflecting socio-economic status, child and caregiver characteristics, and the physical and psychological well-being of the caregivers. Both analytic models were used to evaluate the relationships between child behaviour, caregiving demands, coping factors, and the well-being of primary caregivers of children with CP. RESULTS: The results were compared, together with an assessment of the positive and negative aspects of each approach, including their practical and conceptual implications. CONCLUSION: No important differences were found in the substantive conclusions of the two analyses. The broad confirmation of the Structural Equation Modeling (SEM) results by the Log-linear Modeling (LLM) provided some reassurance that the SEM had been adequately specified, and that it broadly fitted the data.
@article{Zhu2006,
abstract = {BACKGROUND: In this paper we compare the results in an analysis of determinants of caregivers' health derived from two approaches, a structural equation model and a log-linear model, using the same data set. METHODS: The data were collected from a cross-sectional population-based sample of 468 families in Ontario, Canada who had a child with cerebral palsy (CP). The self-completed questionnaires and the home-based interviews used in this study included scales reflecting socio-economic status, child and caregiver characteristics, and the physical and psychological well-being of the caregivers. Both analytic models were used to evaluate the relationships between child behaviour, caregiving demands, coping factors, and the well-being of primary caregivers of children with CP. RESULTS: The results were compared, together with an assessment of the positive and negative aspects of each approach, including their practical and conceptual implications. CONCLUSION: No important differences were found in the substantive conclusions of the two analyses. The broad confirmation of the Structural Equation Modeling (SEM) results by the Log-linear Modeling (LLM) provided some reassurance that the SEM had been adequately specified, and that it broadly fitted the data.},
added-at = {2014-07-20T09:31:00.000+0200},
author = {Zhu, Bin and Walter, Stephen D and Rosenbaum, Peter L and Russell, Dianne J and Raina, Parminder},
biburl = {https://www.bibsonomy.org/bibtex/2dc1a74c0448770e23565f8664645cb0c/ar0berts},
doi = {10.1186/1471-2288-6-49},
groups = {public},
interhash = {d03e9576084b9f89989c0e2c3b8bd18a},
intrahash = {dc1a74c0448770e23565f8664645cb0c},
journal = {BMC Med Res Methodol},
keywords = {Adaptation, Psychological; Adult; Caregivers; Cerebral Palsy; Child; Cross-Sectional Studies; Disabled Children; Family; Female; Health Status; Humans; Linear Models; Logistic Male; Ontario; Questionnaires; Self Concept; Social Support; Socioeconomic Factors},
pages = 49,
pii = {1471-2288-6-49},
pmid = {17038188},
timestamp = {2014-07-20T09:31:00.000+0200},
title = {Structural equation and log-linear modeling: a comparison of methods in the analysis of a study on caregivers' health.},
url = {http://dx.doi.org/10.1186/1471-2288-6-49},
username = {ar0berts},
volume = 6,
year = 2006
}