The Expected Parameter Change (EPC) for local dependence assessment in binary data latent class models

Binary data latent class models crucially assume local independence, violations of which can seriously bias the results. We present two tools for monitoring local dependence in binary data latent class models: the "Expected Parameter Change" (EPC) and a generalized EPC, estimating the substantive size and direction of possible local dependencies. The asymptotic and finite sample behavior of the measures is studied, and two applications to the U.S. Census estimation of Hispanic ethnicity and medical experts' ratings of x-rays demonstrate its value in arriving at a model that balances realism and parsimony.Comment: R code implementing our proposal and including both example datasets is available online as supplementary materia

Latent Markov latent trait analysis for exploring measurement model changes in intensive longitudinal data

Drawing inferences about dynamics of psychological constructs from intensive longitudinal data requires the measurement model (MM)-indicating how items relate to constructs-to be invariant across subjects and time-points. When assessing subjects in their daily life, however, there may be multiple MMs, for instance, because subjects differ in their item interpretation or because the response style of (some) subjects changes over time. The recently proposed "latent Markov factor analysis" (LMFA) evaluates (violations of) measurement invariance by classifying observations into latent "states" according to the MM underlying these observations such that MMs differ between states but are invariant within one state. However, LMFA is limited to normally distributed continuous data and estimates may be inaccurate when applying the method to ordinal data (e.g., from Likert items) with skewed responses or few response categories. To enable researchers and health professionals with ordinal data to evaluate measurement invariance, we present "latent Markov latent trait analysis" (LMLTA), which builds upon LMFA but treats responses as ordinal. Our application shows differences in MMs of adolescents' affective well-being in different social contexts, highlighting the importance of studying measurement invariance for drawing accurate inferences for psychological science and practice and for further understanding dynamics of psychological constructs

Monitorial citizens or civic omnivores? Repertoires of civic participation among university students

In present-day societies, the extent to which young people still participate in civic life is an important matter of concern. The claim of a generational "decline" in civic engagement has been contested, and interchanged with the notion of a "replacement" of traditional engagement by new types of participation, and the emergence of the "monitorial citizen" who participates in more individualized ways. Concurrently, this study explored the assumption of a "pluralization" of involvement, advancing a new concept: the "civic omnivore," characterized by an expanded civic repertoire. Drawing data from a sample of 1,493 Belgian and Dutch university students, we identify five repertoires of participation such as, disengaged students, classical volunteers, humanitarian citizens, monitorial citizens, and civic omnivores. Our findings support the pluralization thesis, by showing that young citizens are not exclusively engaged in new monitorial ways, yet also expand their civic repertoire by combining traditional and new forms in more complex ways

Mapping QGP properties in Pb--Pb and Xe--Xe collisions at the LHC

A phenomenological analysis of the experimental measurements of transverse momentum spectra of identified charged hadrons and strange hyperons in \PbPb and \XeXe collisions at the LHC is presented. The analysis is based on the relativistic fluid dynamics description implemented in the numerically efficient \fluidum approach. Building on our previous work, we separate in our treatment the chemical and kinetic freeze-out, and incorporate the partial chemical equilibrium to describe the late stages of the collision evolution. This analysis makes use of Bayesian inference to determine key parameters of the QGP evolution and its properties including the shear and bulk viscosity to entropy ratios, the initialisation time, the initial entropy density, and the freeze-out temperatures. The physics parameters and their posterior probabilities are extracted using a global search in multidimensional space with modern machine learning tools, such as ensembles of neural networks. We employ our newly developed fast framework to assess systematic uncertainties in the extracted model parameters by systematically varying key components of our analysis.Comment: 17 pages, 7 figure

The self-perceived knowledge, skills and attitudes of Australian practice nurses in providing nutrition care to patients with chronic disease

Background. Nutrition is important for the management of chronic diseases. While practice nurses have numerous roles in primary care, the expectations on practice nurses to provide nutrition care for chronic disease management are increasing. The self-perceived knowledge, skills and attitudes of practice nurses in providing nutrition care has not been widely investigated

One is not the other:Predicting offending after discharge from secure residential care of male adolescents with four risk profiles

Purpose: Adolescents who are admitted to secure residential care have a high risk of delinquency after discharge. However, this risk may differ between subgroups in this heterogeneous population of adolescents with severe psychiatric problems and disruptive problem behaviour. In this study, the predictive validity of four risk profiles was examined for the number of minor, moderate, and severe offences after discharge from secure residential care.Methods: The sample comprised 238 male former patients of a hospital for youth forensic psychiatry and orthopsychiatry in the Netherlands. In three Poisson regression analyses, the relationship between four previously identified risk profiles and the number of minor, moderate, and severe offences after discharge was examined.Results: The results showed that the four risk profiles differed significantly in the number of minor, moderate, and severe offences after discharge. Post hoc analysis revealed no mediating effect of termination of treatment on the relationship between the risk profiles and the number of minor, moderate, and severe offending after discharge.Conclusion: Adolescents with many risk factors in multiple domains and adolescents with mainly family risks have an increased risk of persistent delinquency after discharge. Treatment should be tailored more effectively to the specific risks and needs of these adolescents