Effect of family structure on life satisfaction: australian evidence

How do family arrangements affect subjective well-being? We investigate this issue using data pooled from the IsssA and HILDA, both large, representative national samples of Australia (pooled n=38 447). Our regression analysis of cross-sectional and panel data examines how large are the differences in life satisfaction according to marital status and cohabitation. We find that women and men in formal marriages experience higher levels of life satisfaction than do people in other family arrangements. Moreover, both multiple tests in the cross-section, and tests controlling for prior happiness in the panel analysis, suggest that this is a causal relationship. Aggregating up the levels of life satisfaction generated by different marriage and cohabitation arrangements across a lifetime, suggests that a life-long marriage is the most satisfying. Early divorce followed by an enduring second marriage is little worse (because little time is spent outside the married state). But divorce without remarriage, or long lasting cohabitation without formal marriage, reduce the lifetime sum of subjective well-being by 4–12% for both women and men.     

The role of the gerontological social worker in assisted living

This qualitative study reports on thirteen assisted living (AL) administrators' perspectives of the role and the importance of the AL social worker in addressing the unmet needs of older adults as they move and transition into AL. Participant interviews were analyzed using the constant comparative method. Administrators described 5 AL social work roles: (a) decision-making and adjustment coordinator; (b) resident advocate; (c) mental health assessor and counselor; (d) family social worker; and (e) care planner. Implications include directly examining AL social workers' views, analyzing costs and benefits of employing AL social workers, and developing social work practicum sites within AL.     

Responsibility and management strategies in child sexual abuse: a comparison of child protective workers, nurses, and police officers

This study identifies the attitudes of professionals toward the attribution of responsibility for sexual abuse and strategies for case management. Several variables, including the victim's gender, social status of the perpetrator, use of physical force, one's professional discipline, and past history of childhood victimization, were found to influence professionals' attitudes.     

Communicating Actionable Risk for Terrorism and Other Hazards⋆

We propose a shift in emphasis when communicating to people when the objective is to motivate household disaster preparedness actions. This shift is to emphasize the communication of preparedness actions (what to do about risk) rather than risk itself. We have called this perspective “communicating actionable risk,” and it is grounded in diffusion of innovations and communication theories. A representative sample of households in the nation was analyzed using a path analytic framework. Preparedness information variables (including content, density, and observation), preparedness mediating variables (knowledge, perceived effectiveness, and milling), and preparedness actions taken were modeled. Clear results emerged that provide a strong basis for communicating actionable risk, and for the conclusion both that information observed (seeing preparedness actions that other have taken) and information received (receiving recommendations about what preparedness actions to take) play key, although different, roles in motivating preparedness actions among the people in our nation.     

The use of client surrogates in determining the reliability of a standardized assessment instrument in multiple, diverse settings

Since its introduction in 1980, the widely-used Addiction Severity Index has been subjected to extensive validity and reliability studies. Reliability procedures have commonly entailed test–retest and multiple judge video reviews, all within controlled environments. The following study uses a method that differs substantially from conventional reliability assessment by employing trained, professional actors as client surrogates to examine the reliability of the instrument when administered in the field, in naturalistic, diverse agency settings. This article details this method, addressing the question, to what extent did this method produce consistent stimuli to enable the measurement of reliability?     

Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials

In behavioral, educational and medical practice, interventions are often personalized over time using strategies that are based on individual behaviors and characteristics and changes in symptoms, severity, or adherence that are a result of one's treatment. Such strategies that more closely mimic real practice, are known as dynamic treatment regimens (DTRs). A sequential multiple assignment randomized trial (SMART) is a multi-stage trial design that can be used to construct effective DTRs. This article reviews a simple to use ‘weighted and replicated’ estimation technique for comparing DTRs embedded in a SMART design using logistic regression for a binary, end-of-study outcome variable. Based on a Wald test that compares two embedded DTRs of interest from the ‘weighted and replicated’ regression model, a sample size calculation is presented with a corresponding user-friendly applet to aid in the process of designing a SMART. The analytic models and sample size calculations are presented for three of the more commonly used two-stage SMART designs. Simulations for the sample size calculation show the empirical power reaches expected levels. A data analysis example with corresponding code is presented in the appendix using data from a SMART developing an effective DTR in autism.     

A joint model of cancer incidence,metastasis, and mortality

Many diseases, especially cancer, are not static, but rather can be summarized by a series of events or stages (e.g. diagnosis, remission, recurrence, metastasis, death). Most available methods to analyze multi-stage data ignore intermediate events and focus on the terminal event or consider (time to) multiple events as independent. Competing-risk or semi-competing-risk models are often deficient in describing the complex relationship between disease progression events which are driven by a shared progression stochastic process. A multi-stage model can only examine two stages at a time and thus fails to capture the effect of one stage on the time spent between other stages. Moreover, most models do not account for latent stages. We propose a semi-parametric joint model of diagnosis, latent metastasis, and cancer death and use nonparametric maximum likelihood to estimate covariate effects on the risks of intermediate events and death and the dependence between them. We illustrate the model with Monte Carlo simulations and analysis of real data on prostate cancer from the SEER database.     

A Texas Peasantry? Black Smallholders in the Texas Sugar Bowl, 1865–1890

This article examines a small community of former slaves in Texas's leading sugar-producing county and argues that local conditions fostered the growth of a Caribbean-style ‘reconstituted peasantry’. Using local sources to compile a database of 79 African American landowners, it traces the postwar decline of the sugar plantations, the process of black land acquisition and the smallholders' strategies for survival. The smallholders' position, however, was precarious, and most lost their lands at the close of the nineteenth century. The piece concludes by suggesting that more intensive local research into former-slave communities may force a reconsideration of the notion that all American slaves became landless wage labourers.     

Dimensions of mental health: Life satisfaction,positive affect,anxiety and depression

Psychological well-being and psychological distress are often regarded as distinct, if not orthogonal dimensions of mental health. Based on analyses in this paper, we consider the distinction misleading. Four dimensions seem worth measuring in general population surveys: life satisfaction, positive affect, anxiety and depression. Furthermore, one of the well-being dimensions, life satisfaction, is quite strongly correlated with a distress dimension, depression. A person is unlikely to be both satisfied with life and depressed, but may be satisfied and anxious. The paper is based on convergent validity (exploratory and confirmatory factor analyses) and divergent validity assessments of a range of widely used measures, which were included in the Victorian Quality of Life Panel Survey, 1987.     

Aggregate population and economic growth correlations: The role of the components of demographic change

The results of recent correlations showing a negative impact of population growth on economic development in cross-country data for the 1980s, versus “nonsignificant” correlations widely found for the 1960s and 1970s, are examined with contemporaneous and lagged components of demographic change, convergence-type economic modeling, and several statistical frameworks. The separate impacts of births and deaths are found to be notable but offsetting in the earlier periods. In contrast, the short-run costs (benefits) of births (mortality reduction) increase (decrease) significantly in the 1980s, and the favorable labor-force impacts of past births are not fully offsetting.