ABSTRACT
In this paper, a log-linear multidimensional Rasch model is proposed for capture-recapture analysis of registration data. In the model, heterogeneity of capture probabilities is taken into account, and registrations are viewed as dichotomously scored indicators of one or more latent variables that can account for correlations among registrations. It is shown how the probability of a generic capture profile is expressed under the log-linear multidimensional Rasch model and how the parameters of the traditional log-linear model are derived from those of the log-linear multidimensional Rasch model. Finally, an application of the model to neural tube defects data is presented.
Subject(s)
Models, Statistical , Neural Tube Defects/epidemiology , Algorithms , Epidemiologic Methods , Humans , Infant, Newborn , Netherlands/epidemiology , Population Surveillance , ProbabilityABSTRACT
A sample of 90 persons who had been hospitalized for severe burns were interviewed 1-4 years after the incident. Current DSM-IV post-traumatic stress disorder (PTSD) was assessed with the Composite International Diagnostic Interview. Perceived attributed responsibility and related positive and negative emotional states were examined using a semi-structured interview. Findings showed that PTSD was established in 8% of the participants and partial PTSD in 13%. In a homogeneity analysis (HOMALS), PTSD was associated with the attribution of responsibility for the incident to impersonal relationships and with a negative emotional state. The absence of (partial) PTSD was associated with the attribution of responsibility to close relationships, internal and circumstance-related attribution of responsibility and neutral or forgiving feelings. In logit analyses, both emotional state as well as attributed responsibility are significantly related to (partial) PTSD. However, the model including emotional state showed to have the best fit. Although further research is needed, these results may indicate that professionals working in burn care should consider the emotional state in relation to perceived attribution of responsibility when considering PTSD. Promoting forgiveness may be a beneficial strategy in dealing with post-traumatic stress reactions.
Subject(s)
Burns/psychology , Emotions , Interpersonal Relations , Stress Disorders, Post-Traumatic/psychology , Adaptation, Psychological , Adult , Aged , Belgium , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Netherlands , Psychiatric Status Rating Scales , Social Behavior , Stress Disorders, Post-Traumatic/diagnosis , Stress, Psychological/diagnosis , Young AdultABSTRACT
The sub-scales of the SF-36 in the Dutch National Study are investigated with respect to unidimensionality and reliability. It is argued that these properties deserve separate treatment. For unidimensionality we use a non-parametric model from item response theory, called the Mokken scaling model, and compute the corresponding scalability coefficients. We estimate reliability under the Mokken model, assuming that the items are double homogeneous, and compare it to Cronbach's alpha. The scalability of the sub-scale general health perceptions is medium (H = 0.46), and for the other sub-scales it is strong (H > or = 0.6). The reliability in terms of alpha indicates that all sub-scales can be used in basic research (alpha > 0.70), but that only physical functioning can be used for clinical applications of quality of life (alpha > 0.90). The relative merits of our approach are discussed.
