Modeling without representation

How can mathematical models which represent the causal structure of the world incompletely or incorrectly have any scientific value? I argue that this apparent puzzle is an artifact of a realist emphasis on representation in the philosophy of modeling. I offer an alternative, pragmatic methodology of modeling, inspired by classic papers by modelers themselves. The crux of the view is that models developed for purposes other than explanation may be justified without reference to their representational properties.     

Mattering at the Intersection of Psychology,Philosophy, and Politics

Mattering is an ideal state of affairs consisting of two complementary psychological experiences: feeling valued and adding value. Human beings can feel valued by, and add value to, self, others, work, and community. To make sure that the need for mattering is fulfilled, we must balance feeling valued with adding value. Moreover, we must balance adding value to self with adding value to others. Unfortunately, the dominant neoliberal philosophy does not support the values required to ensure the experience of mattering. Whereas a healthy and fair society would require equilibrium among values for personal, relational, and collective well-being, the dominant philosophy in many parts of the world favors personal at the expense of relational and collective values. Neoliberal economic and social policies have resulted in diminished sense of mattering for millions of people. Some people respond to cultural pressures to achieve higher status by becoming depressive or aggressive. Some marginalized groups, in turn, support xenophobic, nationalistic, and populist policies in an effort to regain a sense of mattering. To make sure that everyone matters, we must align the psychology, philosophy, and politics of mattering. The political struggle for a just and equitable distribution of mattering takes place in social movements and the policy arena. The perils and promises of these efforts are considered.     

Perceiver and relationship effects on perceptions of HIV status: A naturalistic study in a high drug use sample.

This article examines the effect of target, perceiver, and relationship characteristics on the perceiver's assessment that the target may be HIV seropositive (HIV+). A sample of 267 persons was recruited from low income, high drug use neighborhoods. Respondents (perceivers) were asked to name people (targets) with whom they had a social, drug sharing, or sexual relationship. Perceivers described 1,640 such relationships. Perceivers were asked about the targets' age, gender, and race/ethnicity, whether the targets were good-looking, their level of trust with the target, and how long they had known them. Perceivers were then asked to evaluate the chances that the target mentioned was HIV+. Two regression models were estimated on the 1,640 relationships mentioned. Model 1 included variables reflecting only target characteristics as independent variables. Model 2 included variables reflecting target characteristics as well as variables reflecting perceivers and perceiver-target relationship characteristics. The results showed that targets that were female, younger, and good-looking were perceived as being less likely to be HIV+. However, when accounting for perceiver and relationship effects, some of the target characteristic effects disappeared.     

On the determination of appropriate dimensionality in data with error

The study deals with the problem of determining true dimensionality of data-with-error scaled by Kruskal's multidimensional scaling technique. Artificial data was constructed for 6, 8, 12, 16, and 30 point configurations of 1, 2, or 3 true dimensions by adding varying amounts of error to the true distances. Results show how stress is affected by error, number of points, and number of dimensions, and indicate that stress and the elbow criterion are inadequate for purposes of identifying true dimensionality when there is error in the data. The Wagenaar-Padmos procedure for identifying true dimensionality and error level is discussed. A simplified technique, involving a measure calledConstraint, is suggested.The authors wish to thank Dr. J. B. Kruskal for his valuable help and suggestions.Computer time for this research was supplied by the Instruction and Research Computer Center, The Ohio State University.     

Conditions necessary for sand digging in laboratory rats

Continuous availability of a sand blocked tube elicited intense and persistent digging by laboratory rats. Neither training nor prior exposure to the apparatus were necessary for response initiation. Continuous presence of an open pile of sand would not elicit digging. No theoretical explanation is offered.     

An Examination of Alcohol Use Disorder Symptoms and Neighborhood Disorganization from Age 21 to 39

Living in disorganized neighborhoods characterized by high levels of poverty, crime, violence, and deteriorating buildings has been associated with increased alcohol consumption and mental health problems. Data drawn from the Seattle Social Development Project (N = 790), a theory‐driven longitudinal study originating in Seattle, WA, were used to estimate trajectories of Alcohol Use Disorder (AUD) symptoms from age 21 to 39. Time‐varying measures of neighborhood disorganization, psychological distress, and sociodemographic factors were associated with deviations from average AUD symptoms at each wave. Results indicated that, on average, AUD symptoms decreased as individuals got older. Living in more disorganized neighborhoods and experiencing psychological distress was associated with increased AUD symptoms after accounting for average reductions from AUD symptoms over time and time‐varying measures of relevant sociodemographic factors. Results of mediation analysis suggested that psychological distress is a mechanism by which disorganized neighborhoods increased risk of AUD from age 21 to 39.