What makes foster carers think about quitting? Recommendations for improved retention of foster carers

Ideation, or the formulation of ideas pertaining to a particular topic, is the precursor to individuals making significant life decisions. Many individuals think about foster caring long before they actually become carers, and it stands to reason that in many cases, carer discontinuation also follows a period of ideation. This being the case, it is possible that by monitoring ideation, interventions could be introduced to prevent placement disruptions occurring, particularly if the sources of dissatisfaction are known. Using a sample of 205 foster carers, a posteriori segmentation analysis identifies groups of carers dissatisfied with the same aspects of their role. One group is particularly dissatisfied with factors that are within the control of foster care agencies and also reports high levels of discontinuation ideation. Recommendations include that the individual support needs of carers be identified such that customized support can be offered, including boosting initial and ongoing training to manage expectations and ensure carers feel prepared for the role. Results also highlight the important role of caseworkers in making carers feel appreciated and taken seriously.     

The Effects of Marital and Nonmarital Union Transition on Health

This study examines the effects of marital and nonmarital union transition on health. Utilizing Canadian longitudinal data, we find that exiting both marriage and cohabitation seems to have similar effects: Dissolving either union tends to be associated with a decrease in physical health, mental health, or both. With possible selection effects eliminated and protection effects held constant, we find that remaining in either type of union generally is associated with poorer health. We speculate that decreased union quality may account for this inverse relationship, and that protection effects may explain much of the reported health gains associated with union life.     

A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data

A Gaussian conditional autoregressive (CAR) formulation is presented that permits the modelling of the spatial dependence and the dependence between multivariate random variables at irregularly spaced sites so capturing some of the modelling advantages of the geostatistical approach. The model benefits not only from the explicit availability of the full conditionals but also from the computational simplicity of the precision matrix determinant calculation using a closed form expression involving the eigenvalues of a precision matrix submatrix. The introduction of covariates into the model adds little computational complexity to the analysis and thus the method can be straightforwardly extended to regression models. The model, because of its computational simplicity, is well suited to application involving the fully Bayesian analysis of large data sets involving multivariate measurements with a spatial ordering. An extension to spatio-temporal data is also considered. Here, we demonstrate use of the model in the analysis of bivariate binary data where the observed data is modelled as the sign of the hidden CAR process. A case study involving over 450 irregularly spaced sites and the presence or absence of each of two species of rain forest trees at each site is presented; Markov chain Monte Carlo (MCMC) methods are implemented to obtain posterior distributions of all unknowns. The MCMC method works well with simulated data and the tree biodiversity data set.     

The Mental Health of the Childless Elderly

The substantial number of childless elderly in Canada and the United States raises important concerns about the nature of their family support, as well as their psychological well-being. Although the (mixed) effects of childlessness on the mental health of the elderly are well documented in the literature, little is known about the social distribution of psychological distress and depression within this population: how well the childless elderly live, the status of their mental health, and what factors affect their psychological well-being are all crucial questions that remain unanswered. This paper utilizes Pearlin et al.'s (1981) stress process model to examine psychological distress and depression among the childless elderly. Our empirical analysis uses a nationally representative sample of childless individuals aged 55 and over ( N = 2,311) from the 1996-1997 National Population Health Survey (NPHS), and generalized linear model (GLM) techniques. Generally, our results support the stress process model. We find that individual-level stressors exert a strong and consistently negative impact on psychological distress and depression. We also find significant buffering effects of (perceived) social support.     

Supervision in Family Therapy: A Developmental Perspective

A group model of supervision of family therapy was implemented by a team of three supervisors with doctoral students in counseling psychology. It was believed that such an approach would provide students with more opportunity to work as therapists with families and to observe a greater variety of families, therapists, and therapeutic styles than in other models. Interchange in supervisory sessions focused on co-therapy issues, observation skills, family dynamics, differing therapeutic techniques and approaches, and planning and goal setting in therapy. This experience contributed to the professional and personal growth and development of students.     

Interactions Between MAOA Genotype and Receipt of Public Assistance: Predicting Change in Depressive Symptoms and Body Mass Index

Response to stress is determined in part by genetically-influenced regulation of the monoamine system. We examined the interaction of a stressor (receipt of public assistance) and a gene regulating the monoamine system (MAOA) in the prediction of change in adolescent depressive symptoms and body mass index (BMI). Participants were drawn from the National Longitudinal Study on Adolescent Health (AddHealth) genetically-informative subsample. We focused on males due to the fact that males only have one MAOA allele. Growth curve analyses were conducted to assess the association between public assistance, MAOA allele, and their interaction and the intercept and slope of depressive symptoms and BMI. The results indicated that among males, MAOA allele type interacted with receipt of public assistance in the prediction of rate of change in both depressive symptoms and BMI from early adolescence through early adulthood. Males with the short MAOA allele whose families received public assistance tended to experience increased growth in depressive symptoms and BMI. Implications of the findings for understanding the relations among stress, physiology, and development are discussed.     

The role of demographic data in the operation of public policy: a case study of the job training partnership act

To work at the state and local levels, the Job Training Partnership Act (JTPA) requires specific kinds of demographic data. Unemployment figures, poverty information, occupational supply and demand data, wage structure, and many other types of data are used in planning and operating JTPA programs, and in modifying the performance standards by which the programs are evaluated. The decennial census provides some key data and thus some significant types of information become less timely as the decade progresses. Furthermore, the framers of the Act had little or no knowledge of the forms in which data are collected and thus definitions given in the Act do not always agree with definitions used in the demographic data which are available. The policymakers for future government benefit programs could learn from this mistake: before writing legislation which is so heavily dependent on demographic data, they should ascertain what types of data are available or can be generated for use in the program.     

HOW DO INFORMAL AGREEMENTS AND REVISION SHAPE CONTRACTUAL REFERENCE POINTS?

The notion of contracts as reference points provides the basis for a deeper understanding of important phenomena such as the employment contract, vertical integration, firm scope, authority, and delegation. Previous experiments lend support to this notion but they ignore realistic aspects of trading relationships such as informal agreements and ex‐post renegotiation or revision. Here we show that the central behavioral mechanism underlying contractual reference points is robust to such considerations. Our data reveal that informal agreements can mitigate the trade‐off between rigidity and flexibility but they do not fully resolve the problem of misaligned reference points. Our experiments also show that contract revision is a more nuanced process than the previous literature has recognized. We find, for example, that it is sometimes better for parties to write a simple (rigid) contract and then revise it ex post if needed, rather than to anticipate and include future contingencies in a (flexible) contract from the outset.