Political competence and ideological constraint

Converse's definition of ideological contraint is expanded to provide for various respondent identified ideological dimensions rather than an all encompassing liberal-conservative dimension. Using this redefinition a sample of adults is shown to have high levels of ideological constraint. Ideological constraint is shown to vary with the degree of cognitive complexity and the degree of preference evaluability. The latter is a new concept that suggests that some issues will be easier for a respondent to demonstrate constraint on depending upon the availability and applicability of preference criteria. Salience is also shown to have a positive relationship with ideological constraint, but only when preference evaluability is high.     

Constituency Opinion: A Test of the Surrogate Model

Using direct measures of district opinion, this article teststhe linearity and additivity assumptions of the surrogate model.Neither assumption is upheld when subjected to appropriate empiricaltests     

Evaluating a Group Home: Problems and Results

Summary The need for an evaluative framework for group homes for thementally ill is discussed. Evaluation involves separating implicitfrom explicit objectives. The possible objectives for a grouphome are considered in terms of the questions of who decideswhat the objectives are to be, how they are defined, and theirrelationship to the idea of normality. A further issue in decidingobjectives is whether the client's independence is to be foundwithin the group home or beyond it. The elements of a group home's regime are then considered: theseinclude control and group support. Problems in measuring theelements involved are mentioned. An evaluative scheme based upon this is then drawn up for aparticular group home, and the results described. The residentsare found to have experienced little change overall in theirlevel of independence, and this is associated with a regimewhere residents act in a dependent way towards staff, and staffperceptions of control and support are different from thoseof residents.     

A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies

The paper proposes a joint mixture model to model non-ignorable drop-out in longitudinal cohort studies of mental health outcomes. The model combines a (non)-linear growth curve model for the time-dependent outcomes and a discrete-time survival model for the drop-out with random effects shared by the two sub-models. The mixture part of the model takes into account population heterogeneity by accounting for latent subgroups of the shared effects that may lead to different patterns for the growth and the drop-out tendency. A simulation study shows that the joint mixture model provides greater precision in estimating the average slope and covariance matrix of random effects. We illustrate its benefits with data from a longitudinal cohort study that characterizes depression symptoms over time yet is hindered by non-trivial participant drop-out.KEYWORDS: Latent growth curve, MNAR drop-out, survival analysis, finite mixture model, mental health