The active involvement of parents – whether as recipients, extenders, or managers of services - during their youth’s experience with the juvenile justice system is widely assumed to be crucial. Parents and family advocacy groups note persisting concerns with the degree to which successful parental involvement is achieved. Justice system providers are highly motivated and actively working to make improvements. These coalescing interests provide a strong motivation for innovation and improvement regarding family involvement, but the likely success of these efforts is severely limited by the absence of any detailed definition of parental involvement or validated measure of this construct. Determining whether and how parental involvement works in juvenile justice services depends on the development of clear models and sound measurement. Efforts in other child serving systems offer guidance to achieve this goal. A multidimensional working model developed with parents involved in child protective services is presented as a template for developing a model for parental involvement in juvenile justice. Features of the model requiring changes to make it more adaptable to juvenile justice are identified. A systematic research agenda for developing methods and measures to meet the present demands for enhanced parental involvement in juvenile justice services is presented.

Program evaluations often investigate complex or multi-dimensional constructs, such as individual opinions or attitudes, by means of ratings. A different interpretation of the same question may affect cross-country comparability, leading to the Differential Item Functioning problem. Anchoring vignettes were introduced in the literature as a way to adjust self-evaluations from this interpersonal incomparability. In this paper, we first introduce a new nonparametric solution to analyse anchoring vignette data, recoding a variable based on a rating scale to a new corrected-variable that guarantees comparability in any cross-country analysis. Then, we exploit the flexibility of a mixture model introduced to account for uncertainty in the response process (the CUP model) to test if the proposed solution is effectively able to remove this reported heterogeneity. This solution is easy to construct and has important advantages compared with the original nonparametric solution adopted with anchoring vignette data. The novel indicator is applied to investigate self-reported depression in an old population. Data that will be analysed come from the second wave of the Survey of Health, Ageing and Retirement in Europe, collected in 2006/2007. Results highlight the need of correcting for reported heterogeneity comparing individual self-evaluations. Once interpersonal incomparability resulting from the different uses of response scales is removed from the self-assessments, some estimates are reversed in magnitude and signs with respect to the analysis of the collected data.