Parent Participation Within Community Center or In-Home Outreach Delivery Models of the Early Risers Conduct Problems Prevention Program

A variety of predictors of parent participation in prevention programming have been identified in past research, but few studies have investigated how those predictors may vary by implementation context. Patterns of parent participation were examined in the Early Risers Conduct Problems Prevention Program using two family-focused service delivery models: a community center model (Center) and an in-home outreach-based model (Outreach). An ethnically diverse sample of Kindergarten through second grade students (n = 246) displaying elevated levels of aggression were recruited for the study and randomly assigned to either the Center (n = 121) or Outreach (n = 125) models. In both delivery models, participants and their families completed an assortment of baseline measures and received family skills and child skills intervention components and family- and school-based case management. Parents in the Center model demonstrated greater overall participation in family-focused components of the intervention. Parent motivation with parent-focused expectancies for the intervention represented the strongest predictor of parent participation across both delivery models. Family income differentially predicted parent participation across the two models, with low income predicting greater participation in the Center model and lower participation in the Outreach model. A qualitative finding emerged showing that parents receiving parent skills in the Center model via groups preferred to learn skills related to facilitating overall family relationships, whereas parents receiving parent skills via individual Outreach meetings preferred to improve a child’s behavior and emotion skills. Implications are discussed for the design of prevention programming in order to maximize parent participation in high risk populations.     

The effects of prior knowledge on the encoding of episodic contextual details

A positive relationship between prior knowledge and item memory is a consistent finding in the literature. In the present study, we sought to determine whether this relationship extends to episodic details that are present at the time of encoding, namely source memory. Using a novel experimental design, we were able to show both between- and within-subjects effects of prior knowledge on source memory. Specifically, the results revealed that the degree of prior knowledge positively predicted memory for source specifying contextual details. In addition, by including two conditions in which attention was divided either at encoding or retrieval, we were able to show that prior knowledge influences memory by affecting encoding processes. Overall, the data suggest that a priori knowledge within a specific domain allows attentional resources to be allocated toward the encoding of contextual details.     

Seeing What We Know, Knowing What We See: Challenging the Limits of Visual Acuity

Ageism has resulted in overstated expectations regarding the inevitable deterioration in human capabilities, such as visual perception, with age (Rowe and Kahn in Science, 237, 143?C149, 1987; Grant in Health and Social Work, 21, 9?C15, 1996). Human visual perception, however, is of a largely constructive nature, evidenced in the complementary interactions between top-down inputs (e.g., expectations) and bottom-up stimuli (Engel et al. in National Review of Neuroscience, 2(10), 704?C716, 2001; Miller and Cohen in, Annual Review of Neuroscience, 24, 167-202, 2001). Based on this constructive nature, we hypothesized that visual perception may be better than is typically expected. In three experiments, we demonstrated the malleability of visual acuity using a conditioning procedure involving manipulations in bottom-up stimuli. Experimental groups read a book excerpt with one letter in decreased font size, while the control groups read the same book excerpt with all letters in the same font size. Experiment 1 (N?=?112) examined whether visual acuity could be enhanced for a specific letter. Experiment 2 (N?=?70) assessed whether visual acuity could be enhanced for a non-conditioned letter, while Experiment 3 (N?=?108) evaluated whether the visual conditioning effects would transfer to all non-conditioned letters. Visual acuity for experimental groups was significantly better than that in the control groups, speaking to the general malleability of our visual sense.     

The comprehension of sentences involving quantity information affects responses on the up–down axis

We investigated the use of space in the comprehension of the concept of quantity in text. Previous work has suggested that the right-left axis is useful in spatial representations of number and quantity, while linguistic evidence points toward use of the up-down axis. In Experiment 1, participants read sentences containing quantity information and pressed buttons in either (1) an up and a down position or (2) a left and a right position. In Experiment 2, the participants pressed buttons in either (1) up and down positions or (2) left and right positions, but heard the sentences rather than reading them. We found spatial compatibility effects for the up-down axis, but not for the right-left axis. Additionally, the spatial compatibility effect was observed whether or not the participants moved to make their responses. We discussed the results in the context of embodied approaches to the comprehension of quantity information.     

Comment on “Visual layout modulates Fitts’s law: The importance of first and last positions”

Pratt, Adam, and Fischer (2007) investigated the effect of surrounding targets on the time it took to move to an individual target and found that the movement time to a central target was above the Fitts’s law line related to the first and last targets. They explained their results in terms of a “visuomotor hypothesis.” Here, an alternative explanation is given in terms of a previously validated model of the “available target width” that is determined by the size of the target and the width of the finger pad that is being used to hit the target.     

Construct validity of the Anxiety Sensitivity Index-3 in clinical samples

Using two clinical samples of patients, the presented studies examined the construct validity of the recently revised Anxiety Sensitivity Index-3 (ASI-3). Confirmatory factor analyses established a clear three-factor structure that corresponds to the postulated subdivision of the construct into correlated somatic, social, and cognitive components. Participants with different primary clinical diagnoses differed from each other on the ASI-3 subscales in theoretically meaningful ways. Specifically, the ASI-3 successfully discriminated patients with anxiety disorders from patients with nonanxiety disorders. Moreover, patients with panic disorder or agoraphobia manifested more somatic concerns than patients with other anxiety disorders and patients with nonanxiety disorders. Finally, correlations of the ASI-3 scales with other measures of clinical symptoms and negative affect substantiated convergent and discriminant validity. Substantial positive correlations were found between the ASI-3 Somatic Concerns and body vigilance, between Social Concerns and fear of negative evaluation and socially inhibited behavior, and between Cognitive Concerns and depression symptoms, anxiety, fear of negative evaluation, and subjective complaints. Moreover, Social Concerns correlated negatively with dominant and intrusive behavior. Results are discussed with respect to the contribution of the ASI-3 to the assessment of anxiety-related disorders.     

Exploratory factor analysis of African Self-Consciousness Scale scores

This study replicates and extends prior studies of the dimensionality, convergent, and external validity of African Self-Consciousness Scale scores with appropriate exploratory factor analysis methods and a large gender balanced sample (N = 348). Viable one- and two-factor solutions were cross-validated. Both first factors overlapped significantly and were labeled "Embracing African Heritage." The second subscale of the two-factor solution was labeled "Refusal to Deny African Heritage." Only the structural validity of the first factor of the two-factor solution was fully consistent with prior findings. Partial evidence of convergent validity was found for all factors, and only the second factor of the two-factor solution received external validity support. Implications for usage of the African Self-Consciousness Scale and recommendations for further investigation are discussed.     

Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches

With increasing popularity, growth curve modeling is more and more often considered as the 1st choice for analyzing longitudinal data. Although the growth curve approach is often a good choice, other modeling strategies may more directly answer questions of interest. It is common to see researchers fit growth curve models without considering alterative modeling strategies. In this article we compare 3 approaches for analyzing longitudinal data: repeated measures analysis of variance, covariance pattern models, and growth curve models. As all are members of the general linear mixed model family, they represent somewhat different assumptions about the way individuals change. These assumptions result in different patterns of covariation among the residuals around the fixed effects. In this article, we first indicate the kinds of data that are appropriately modeled by each and use real data examples to demonstrate possible problems associated with the blanket selection of the growth curve model. We then present a simulation that indicates the utility of Akaike information criterion and Bayesian information criterion in the selection of a proper residual covariance structure. The results cast doubt on the popular practice of automatically using growth curve modeling for longitudinal data without comparing the fit of different models. Finally, we provide some practical advice for assessing mean changes in the presence of correlated data.     

Moral Machines?

Wendell Wallach and Colin Allen??s Moral Machines: Teaching Robots Right From Wrong (Oxford University Press, 2009) explores efforts to develop machines that, not only can be employed for good or bad ends, but which themselves can be held morally accountable for what they do??artificial moral agents (AMAs). This essay is a critical response to Wallach and Allen??s conjectures. Although Wallach and Allen do not suggest that we are close to being able to create full-fledged AMAs, they do talk seriously about making incremental progress in the direction of creating them (even if we never fully succeed). However, there are important questions about the moral development of AMAs that Moral Machines does not address. Given the responsibilities entrusted to human moral agents, we take questions about their moral development very seriously. In the case of children, the hope is that eventually they will develop into full-fledged moral agents. How might we expect this to go with less than fully formed AMAs? Will there be a comparable story of moral development and moral education that we can tell?