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

BackgroundIn 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.MethodsThe 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.ResultsThe results were compared, together with an assessment of the positive and negative aspects of each approach, including their practical and conceptual implications.ConclusionNo 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.

[1]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[2]  Stephen E. Fienberg,et al.  Discrete Multivariate Analysis: Theory and Practice , 1976 .

[3]  L. A. Goodman.  The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications , 1970 .

[4]  Peter M. Bentler,et al.  Structural modeling and psychometrika: An historical perspective on growth and achievements , 1986 .

[5]  Ware J.E.Jr.,et al.  THE MOS 36- ITEM SHORT FORM HEALTH SURVEY (SF- 36) CONCEPTUAL FRAMEWORK AND ITEM SELECTION , 1992 .

[6]  R. Gonzalez.  Applied Multivariate Statistics for the Social Sciences , 2003 .

[7]  Christopher Hertzog,et al.  Structural Equation Modeling with LISREL: Essentials and Advances , 1989 .

[8]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[9]  S. Brooks,et al.  Applied Multivariate Statistics for the Social Sciences , 1993 .

[10]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[11]  G. King,et al.  HOW MOTHERS AND FATHERS VIEW PROFESSIONAL CAREGMNG FOR CHILDREN WITH DISABILITIES , 1996, Developmental medicine and child neurology.

[12]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[13]  G. A. Marcoulides,et al.  Advanced structural equation modeling : issues and techniques , 1996 .

[14]  Dianne M. Finkelstein,et al.  A Beginner's Guide to Structural Equation Modeling , 2005, Technometrics.

[15]  Karl G. Jöreskog,et al.  LISREL 7: A guide to the program and applications , 1988 .

[16]  J. S. Long,et al.  Testing Structural Equation Models , 1993 .

[17]  K. Bollen,et al.  Improper Solutions in Structural Equation Models , 2001 .

[18]  C. Gustafson,et al.  Pediatric evaluation of disability inventory, PEDI. en jämförelse mellan ett svenskt referensmaterial och det amerikanska normalmaterialet för åldersgrupperna 0,5 t.o.m. 1,4 år samt 7,0 t.o.m. 7,5 år , 1998 .

[19]  L. A. Goodman.  The Analysis of Multidimensional Contingency Tables: Stepwise Procedures and Direct Estimation Methods for Building Models for Multiple Classifications , 1971 .

[20]  David Rindskopf,et al.  Parameterizing inequality constraints on unique variances in linear structural models , 1983 .

[21]  P. Raina,et al.  Caregiving process and caregiver burden: Conceptual models to guide research and practice , 2004, BMC pediatrics.

[22]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[23]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[24]  H. Mccubbin,et al.  The Family Stress Process: The Double ABCX Model of Adjustment and Adaptation , 1983 .

[25]  Peter M. Bentler,et al.  Practical Issues in Structural Modeling , 1987 .

[26]  A. DeMaris,et al.  Logit Modelling: Practical Applications , 1994 .

[27]  Larry H. Ludlow,et al.  Pediatric Evaluation of Disability Inventory , 1994 .

[28]  P. Szatmari,et al.  Ontario Child Health Study. I. Methodology. , 1987, Archives of general psychiatry.

[29]  Kristopher J Preacher,et al.  On the practice of dichotomization of quantitative variables. , 2002, Psychological methods.

[30]  Parminder Raina,et al.  The Health and Well-Being of Caregivers of Children With Cerebral Palsy , 2005, Pediatrics.

[31]  J. Jaccard,et al.  LISREL Approaches to Interaction Effects in Multiple Regression , 1998 .

[32]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[33]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

[34]  P. Raina,et al.  Prognosis for gross motor function in cerebral palsy: creation of motor development curves. , 2002, JAMA.

[35]  C. Sherbourne,et al.  The MOS 36-Item Short-Form Health Survey (SF-36) , 1992 .