Poverty Among Adults with Disabilities: Barriers to Promoting Asset Accumulation in Individual Development Accounts

Adults with disabilities disproportionally experience poverty. We examine one novel strategy to promote economic well-being among adults with disabilities living in or near poverty, namely Individual Development Accounts (IDAs). IDAs are designed to help individuals save money and subsequently accumulate assets. Although adults with disabilities account for the majority of IDA participants, scant attention has been paid to their IDA saving performance. We describe the significance of accumulating assets, particularly as it relates to adults with disabilities. We then map the nature of IDA programs and analyze barriers to participation in IDAs and asset accumulation related to conflicting federal policies and a lack of sensitivity to disability-specific needs. We conclude by offering policy recommendations from our analysis, including the need to eliminate the means-tests used in welfare policies, de-linking participation in IDAs from employment status, and involving people with disabilities in designing and evaluating asset accumulation policies and programs.     

Some algebraic properties of the Reticular Action Model for moment structures

A number of models for the analysis of moment structures, such as LISREL, have recently been shown to be capable of being given a particularly simple and economical representation, in terms of the Reticular Action Model (RAM). In contrast to previous treatments, a formal algebraic treatment is provided which shows that RAM directly incorporates many common structural models, including models describing the structure of means. It is also shown here that RAM treats coefficient matrices with patterned inverses simply and generally.     

Uncertainty-dependent activity within the ventral striatum predicts task-related changes in response strategy

Recent neuroimaging work has demonstrated that the ventral striatum (VS) encodes confidence in perceptual decisions. However, it remains unclear whether perceptual uncertainty can signal the need to adapt behavior (such as by responding more cautiously) and whether such behavioral changes are related to uncertainty-dependent activity within the VS. Changes in response strategy have previously been observed following errors and are associated with both medial frontal cortex (MFC) and VS, two components of the performance-monitoring network. If uncertainty can elicit changes in response strategy (slowing), then one might hypothesize that these changes rely on the performance-monitoring network. In the present study, we investigated the link between perceptual uncertainty and task-related behavioral adaptations (response slowing and accuracy increases), as well as how such behavioral changes relate to uncertainty-dependent activity within MFC and VS. Our participants performed a two-choice perceptual decision-making task in which perceptual uncertainty was reported on each trial while behavioral and event-related functional magnetic resonance imaging data were collected. Analysis of the behavioral data revealed that uncertain (but correct) responses led to slowing on subsequent trials, a phenomenon that was positively correlated with increased accuracy. Critically, post-uncertainty slowing was negatively correlated with the VS activity elicited by uncertain responses. In agreement with previous reports, increases in MFC activation were observed for uncertain responses, although MFC activity was not correlated with post-uncertainty slowing. These results suggest that perceptual uncertainty can serve as a signal to adapt one’s response strategy and that such behavioral changes are closely tied to the VS, a key node in the performance-monitoring network.     

Achievement and beliefs outcomes of students with high and low expectation teachers

Social Psychology of Education - Teacher expectation models have theorized that expectations are likely to affect student socio-psychological as well as academic outcomes. Effects on...     

Describing the elephant: Structure and function in multivariate data

There is a unity underlying the diversity of models for the analysis of multivariate data. Essentially, they constitute a family models, most generally nonlinear, for structural/functional relations between variables drawn from a behavior domain.     

Color preference in pigeons: stimulus intensity and reinforcement contingency effects in the avoidance of blue stimuli.

In a procedure intended to determine color preference in pigeons (which partially replicated Catania, Owens, & von Lossberg, 1983), two keys were illuminated by different colors drawn from a set of amber, red, green, or blue stimuli; this was followed by the presentation of grain when either of the two colors was pecked. The grain was illuminated alternately across trials with the colors presented on the keys. In Experiment 1 the intensity of the color stimuli used was not equalized, whereas in Experiment 2 the intensity of the colors was equalized. The low preference for blue found in Experiment 1, as measured by differential key pecking, was not found in Experiment 2. The discriminability of the intensity-equalized colors was confirmed in Experiment 2a, in which equal-intensity color discrimination problems were presented. In Experiment 3, as in Catania et al. (1983), a response-independent reinforcement schedule was used, but with intensity-equalized colors. In contrast to Experiment 2, very low preference for blue was found here and in Experiment 4, which used a within-subject procedure. These findings suggest that pigeon color preference may be a function of intensity, but all controlling variables have not as yet been identified.