Recycling Identities: A Narrative Inquiry on Consumer Decision Making Among Urban Poor Families in the Philippines

The purpose of this article is to explore consumption-related decisions of urban poor families. Using a combination of in-depth interviews and visual narrative exercise, stories of six urban poor families living in Payatas, Quezon City, were analyzed. Key findings show that consumption-related decisions of participants follow a double cyclic narrative of just right spending. Community shared practices enable participants to survive by managing tensions between making ends meet and sustaining a public ideal of living a simple life. The researchers provide reflections on the socio-economic reproduction of a public ideal and rethinking the role of psychology in poverty reduction policies.     

Innovative Practice,Clinical Research,and the Ethical Advancement of Medicine

Innovative practice occurs when a clinician provides something new, untested, or nonstandard to a patient in the course of clinical care, rather than as part of a research study. Commentators have noted that patients engaged in innovative practice are at significant risk of suffering harm, exploitation, or autonomy violations. By creating a pathway for harmful or nonbeneficial interventions to spread within medical practice without being subjected to rigorous scientific evaluation, innovative practice poses similar risks to the wider community of patients and society as a whole. Given these concerns, how should we control and oversee innovative practice, and in particular, how should we coordinate innovative practice and clinical research? In this article, I argue that an ethical approach overseeing innovative practice must encourage the early transition to rigorous clinical research without delaying or deferring the development of beneficial innovations or violating the autonomy rights of clinicians and their patients.     

Conceptualizing the Influence of Social Agents of Behavior Change: A Meta-Analysis of the Effectiveness of HIV-Prevention Interventionists for Different Groups

A meta-analysis of 166 HIV-prevention interventions tested theoretical predictions about the effects of experts, lay community members, and similar and dissimilar others, as agents of change. In general, expert interventionists produced greater behavior change than lay community members, and the demographic and behavioral similarity between the interventionist and the recipients facilitated behavioral change. Equally importantly, there were differences across groups in the efficacy of various sources, especially among populations of low status and/or power. These findings support the hypothesis that unempowered populations are more sensitive to characteristics of the interventionists who can facilitate access to various resources. In addition, they suggest the need to ensure the availability of health professionals from diverse demographic and behavioral backgrounds.     

Reviews of current books

Pastoral Psychology -     

The specificity of the generality problem

In “Why the generality problem is everybody’s problem,” Michael Bishop argues that every theory of justification needs a solution to the generality problem. He contends that a solution is needed in order for any theory to be used in giving an acceptable account of the justificatory status of beliefs in certain examples. In response, first I will describe the generality problem that is specific to process reliabilism and two other sorts of problems that are essentially the same. Then I will argue that the examples that Bishop presents pose no such problem for some theories. I will illustrate the exempt theories by describing how an evidentialist view can account for the justification in the examples without having any similar problem. It will be clear that other views about justification are likewise unaffected by anything like the generality problem.     

FIXED EFFECTS ANALYSIS OF VARIANCE BY REGRESSION ANALYSIS

This paper is concerned with the solution of typical analysis of variance problems using general purpose multiple regression computer programs. Specific models, restrictions on the parameters for hypothesis testing, and computational aspects are discussed. It is argued that this approach has many pedagogical advantages over traditional procedures.