Coherence and correspondence criteria for rationality: experts' estimation of risks of sexually transmitted infections

The aim of this study is to examine both coherence and correspondence criteria for rationality in experts' judgments of risk. We investigated biases in risk estimation for sexually transmitted infections (STIs) predicted by fuzzy‐trace theory, i.e., that specific errors would occur despite experts' knowledge of correct responses. One hundred twenty professionals with specific knowledge of STI risks in adolescents were administered a survey questionnaire to test predictions concerning: knowledge deficits (producing underestimation of risks); gist‐based representation of risk categories (producing overestimation of condom effectiveness); retrieval failure for risk knowledge (producing lower risk estimates); and processing interference in combining risk estimates (producing biases in post‐test diagnosis of infection). Retrieval was manipulated by asking estimation questions that “unpacked” the STI category into infection types or did not specify infection types. Other questions differentiated processing biases from knowledge deficits or retrieval failure by directly providing requisite knowledge. Experts' knowledge of STI transmission and infection risks was verified empirically. Nevertheless, under predictable conditions, they misestimated risk, overestimated the effectiveness of condoms, and also suffered from processing biases. When questions provided better retrieval supports (unpacked format), risk estimates improved. Biases were linked to gist representations, retrieval failures, and processing errors, as opposed to knowledge about STIs. Results support fuzzy‐trace theory's dual‐process assumptions that different types of errors are dissociated from one another, and separate failures of coherence and correspondence among the same sample of experts. Copyright © 2005 John Wiley & Sons, Ltd.     

African American Adolescent Mothers' Vocational Aspiration–Expectation Gap: Individual, Social And Environmental Influences

This study investigated the vocational aspirations and expectations of 160 African American adolescent mothers living in urban poverty. Discriminant function analysis was used in an attempt to distinguish between participants with, and those without, a discrepancy between their vocational aspirations and expectations. The two groups were found to be distinct in several ways. Depressive and anxious symptoms along with childcare provided by relatives, were associated with a gap between aspirations and expectations. Higher grade point averages, living with biological parents, and having a career mentor were more often associated with a match between expectations and aspirations. A combination of factors, including psychological functioning, social support, achievement, and contextual factors specific to the tasks of teen parenting, should be considered in future attempts to understand and describe adolescent mothers' vocational development.     

Advancing Developmental Science via Unmoderated Remote Research with Children

ABSTRACT

This article introduces an accessible approach to implementing unmoderated remote research in developmental science – research in which children and families participate in studies remotely and independently, without directly interacting with researchers. Unmoderated remote research has the potential to strengthen developmental science by: (1) facilitating the implementation of studies that are easily replicable, (2) allowing for new approaches to longitudinal studies and studies of parent-child interaction, and (3) including families from more diverse backgrounds and children growing up in more diverse environments in research. We describe an approach we have used to design and implement unmoderated remote research that is accessible to researchers with limited programming expertise, and we describe the resources we have made available on a new website (discoveriesonline.org) to help researchers get started with implementing this approach. We discuss the potential of this method for developmental science and highlight some challenges still to be overcome to harness the power of unmoderated remote research for advancing the field.