Financial Capability in Children: Effects of Participation in a School-Based Financial Education and Savings Program

A groundswell of interest in young people’s ability to understand and handle financial decisions has generated keen interest in financial knowledge and effectiveness of financial education. This study examines an innovative four-year school-based financial education and savings program, called “I Can Save” (ICS). Using a quasi-experimental design, the study examines quantitative and qualitative data to analyze program effects on financial knowledge. Elementary school children who participated in ICS scored significantly higher on a financial literacy test taken in fourth grade than comparison group students in the same school, regardless of parent education and income. Results suggest that young children increase financial capability when they have access to financial education and it is accompanied by participation in meaningful financial services.     

A Component Analysis of the Impact of Evaluative and Objective Feedback on Performance

Despite the frequency with which performance feedback interventions are used in organizational behavior management, component analyses of such feedback are rare. It has been suggested that evaluation of performance and objective details about performance are two necessary components for performance feedback. The present study was designed to help clarify which components are required for maximal effectiveness by comparing four conditions: (a) combined evaluative and objective feedback, (b) evaluative feedback alone, (c) objective feedback alone, and (d) no feedback. A total of 105 undergraduate students were recruited to work on a simulated bank check processing task while being exposed to one of the four feedback conditions. The number of checks correctly processed served as the dependent variable. Results suggest that a combination of objective and evaluative feedback is necessary for maximal performance.     

Conceptualizing social-ecological drivers of change in urban forest patches

Urban Ecosystems - We introduce a conceptual model of the urban forest patch as a complex social-ecological system, incorporating cross-scale interactions. We developed this model through an...     

The Window of Ritual: Seeing the Intentions and Emotions of ‘Doing’ Gender

My goal in this paper is to revisit interaction ritual theory as a theoretical underpinning of West and Zimmerman’s ‘doing’ gender paradigm in order to develop a more nuanced understanding of what is taking place inside the interactions of men and women as they ‘do’ gender. Recent work in ritual theory, specifically the work of Bell (Ritual theory, ritual practice, 1992) and Collins (Interaction ritual chains, 2004) expands the role of the individual in the ritual process by conceptualizing ritual as a form of ‘practice’ that can be mobilized in the pursuit of emotional energy. Through the narratives of 24 married couples, I explore how domestic labor functions as an interaction ritual that is driven by ‘emotional energy’. This emotional energy shapes the localized intentions of men and women as they ‘do’ gender thus transforming gender into something that we ‘use’ as well as ‘do’. These emotions and intentions can be seen most clearly through a new ‘window’ of ritual.

Using Object Knowledge in Visual Tracking and Reaching

Nine‐month‐old infants were presented with an engaging and challenging task of visually tracking and reaching for a rolling ball that disappeared and reappeared from behind an occluder. On some trials, the infant observed the experimenter place a barrier on the ball's track; the barrier remained partially visible above the occluder throughout the remainder of the trial. When the task involved only predictive tracking, infants' anticipatory gaze shifts were faster when no barrier was present. When the task involved both tracking and reaching, there were more reaches when no barrier was present. If the infant reached, the timing and extension of the reach and the accompanying gaze shift did not differ with regard to the barrier. Because catching the ball was quite difficult for these infants, task demands interfered with the integration of visual information and visuospatial reasoning about the barrier with the reaching action.     

Continuity and Change in Rural Migration Patterns, 1950–1995*

Abstract During the past several decades, rural America has experienced turbulent demographic change. We examine rural age‐specific migration data for 1950 to 1995 to ascertain whether the numerous economic, social, and technological factors buffeting nonmetropolitan America have altered migration patterns across age groups and types of counties. Both continuity and change are evident in the analysis. We find differentiation in the migration profiles of certain specialized types of rural counties, as well as temporal variability from decade to decade. No clear longitudinal trend in migration patterns is present, however. In fact, an underlying continuity in age‐specific trends has endured through good times and bad.     

Treatment-competing events in dynamic regimes

A dynamic treatment regime is a sequence of decision rules for assigning treatment based on a patient’s current need for treatment. Dynamic regimes are viewed, by many, as a natural way of treating patients with chronic diseases; that is, treating patients with adaptive, complex, longitudinal treatment regimens. In developing dynamic treatment strategies, treatment-competing events may play an important role in the overall treatment strategy, and their effects on subsequent treatment decisions and eventual outcome should be considered. Treatment-competing events may be defined generally as patient-specific, random events which interrupt the ongoing treatment decision process in a dynamic regime. Treatment-competing events censor later treatment decisions that would otherwise be made on a particular dynamic treatment regime had the competing events not occurred. For example, in therapeutic studies of HIV, physicians may assign treatment based on a patient’s current level HIV1-RNA; this defines a treatment assignment rule. However, the presence of opportunistic infections or severe adverse events may preclude a strict adherence of the treatment assignment rule. In other contexts, the “censoring”-by-death phenomenon may be viewed as an example of a treatment-competing event for a particular dynamic treatment regime. Treatment-competing events can be built into the dynamic treatment regime framework and counting processes are a natural mechanism to facilitate this development. In this paper, we develop treatment-competing events in a dynamic infusion policy, a random dynamic treatment regime where multiple infusion treatments are initiated simultaneously and given continuously over time subject to the presence/absence of a treatment-competing event. We illustrate how our methodology may be used to suggest an estimator for a particular causal estimand of recent interest. Finally, we exemplify our methods in a recent study of patients undergoing coronary stent implantation.     

Multiple-Stage Decision-Making: The Effect of Planning Horizon Length on Dynamic Consistency

Many decisions involve multiple stages of choices and events, and these decisions can be represented graphically as decision trees. Optimal decision strategies for decision trees are commonly determined by a backward induction analysis that demands adherence to three fundamental consistency principles: dynamic, consequential, and strategic. Previous research (Busemeyer et al. 2000, J. Exp. Psychol. Gen. 129, 530) found that decision-makers tend to exhibit violations of dynamic and strategic consistency at rates significantly higher than choice inconsistency across various levels of potential reward. The current research extends these findings under new conditions; specifically, it explores the extent to which these principles are violated as a function of the planning horizon length of the decision tree. Results from two experiments suggest that dynamic inconsistency increases as tree length increases; these results are explained within a dynamic approach–avoidance framework. This revised version was published online in June 2006 with corrections to the Cover Date.