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      Structural equation and log-linear modeling: a comparison of methods in the analysis of a study on caregivers' health

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          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.

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          Most cited references28

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          Applied multivariate statistics for the social sciences

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            Principles and Practice of Structural Equation Modeling

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              Prognosis for gross motor function in cerebral palsy: creation of motor development curves.

              Lack of a valid classification of severity of cerebral palsy and the absence of longitudinal data on which to base an opinion have made it difficult to consider prognostic issues accurately. To describe patterns of gross motor development of children with cerebral palsy by severity, using longitudinal observations, as a basis for prognostic counseling with parents and for planning clinical management. Longitudinal cohort study of children with cerebral palsy, stratified by age and severity of motor function and observed serially for up to 4 years during the period from 1996 to 2001. Nineteen publicly funded regional children's ambulatory rehabilitation programs in Ontario. A total of 657 children aged 1 to 13 years at study onset, representing the full spectrum of clinical severity of motor impairment in children with cerebral palsy. Severity of cerebral palsy, classified with the 5-level Gross Motor Function Classification System; function, formally assessed with the Gross Motor Function Measure (GMFM). Based on a total of 2632 GMFM assessments, 5 distinct motor development curves were created; these describe important and significant differences in the rates and limits of gross motor development among children with cerebral palsy by severity. There is substantial within-stratum variation in gross motor development. Evidence-based prognostication about gross motor progress in children with cerebral palsy is now possible, providing parents and clinicians with a means to plan interventions and to judge progress over time. Further work is needed to describe motor function of adolescents with cerebral palsy.
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                Author and article information

                Journal
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central (London )
                1471-2288
                2006
                12 October 2006
                : 6
                : 49
                Affiliations
                [1 ]Centre for Clinical Epidemiology and Community Studies, Sir Mortimer B. Davis-Jewish General Hospital, Montreal, Quebec, Canada
                [2 ]Department of Clinical Epidemiology & Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
                [3 ]McMaster University Evidenced-based Practice Centre, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
                [4 ]Department of Paediatrics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
                [5 ] CanChild Centre for Childhood Disability Research, McMaster University, Hamilton, Ontario, Canada
                [6 ]School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
                Article
                1471-2288-6-49
                10.1186/1471-2288-6-49
                1618851
                17038188
                70ce68b9-80c4-4fb9-8c76-bf83f7b2141c
                Copyright © 2006 Zhu et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 May 2006
                : 12 October 2006
                Categories
                Research Article

                Medicine
                Medicine

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