Structure of the Dospert: Is There Evidence for a General Risk Factor?

The Domain‐specific Risk‐taking scale was designed to assess risk taking in specific domains. This approach is unconventional in personality assessment but reflects conventional wisdom in the decision community that cross‐situational consistency in risk taking is more myth than reality. We applied bifactor analysis to a large sample (n = 921) of responses to the Domain‐specific Risk Taking. Results showed that, in addition to domain‐specific facets, there does appear to be evidence for a general risk‐taking disposition. And this general appetite for risk appears to be useful for predicting real‐world outcomes. Copyright © 2016 John Wiley & Sons, Ltd.     

Genetic Counseling Assistants: an Integral Piece of the Evolving Genetic Counseling Service Delivery Model

This study explores the potential impact of the genetic counseling assistant (GCA) position on the efficiency of the genetic counseling field, evaluates attitudes regarding expansion of the genetic counseling field to include the GCA, and presents data on GCA endeavors and GCA job tasks as reported by GCAs, certified genetic counselors (CGCs), and program directors (PDs). Data on GCA roles and attitudes toward different aspects of the GCA position were collected via surveys of CGCs who have worked with GCAs, PDs who have and have not had experience with GCAs in their programs, and GCAs. We analyzed responses from 63 individuals: 27 PDs, 22 CGCs, and 14 GCAs. GCAs’ impact on efficiency was calculated via internal analysis of genetic patient volume per genetic counselor within the University of Texas Southwestern (UTSW) patient database prior to, and since the addition of, a GCA to the practice. The response rates for PDs, CGCs, and GCAs were 27 %, 79 %, and 61 %, respectively. Every CGC stated the GCA increased their efficiency. CGCs with a GCA reported a 60 % average increase in patient volume. This figure was congruent with internal data from the UTSW cancer genetics program (58.5 % increase). Appropriate responsibilities for GCAs as reported by CGCs and PDs (>90 %) include: data entry, shipping tests, administrative tasks, research, and ordering supplies. Regarding GCAs delivering test results, there was response variation whether this should be a job duty: 42 % of CGCs agreed to GCAs delivering negative results to patients, compared to 22 % of program directors. Twenty-two percent of PDs expressed concern about the job title “Genetic Counseling Assistant.” Ninety percent of CGCs felt that GCA was a career path to becoming a CGC, compared to 42 % of PDs. Eighty-three percent of GCAs who decided to apply to CGC graduate programs were accepted. We conclude the addition of a GCA to a genetic counseling practice contributes to increased efficiency and is one way to expand the reach of the profession.     

More men run relatively fast in U.S. road races, 1981-2006: a stable sex difference in non-elite runners

Recent studies indicate that more men than women run fast relative to sex- specific world records and that this sex difference has been historically stable in elite U.S. runners. These findings have been hypothesized to reflect an evolved male predisposition for enduring competitiveness in "show-off" domains. The current study tests this hypothesis in non-elite runners by analyzing 342 road races that occurred from 1981-2006, most in or near Buffalo, NY. Both absolutely and as a percentage of same-sex finishers, more men ran relatively fast in most races. During the 1980s, as female participation surged, the difference in the absolute number of relatively fast men and women decreased. However, this difference was stable for races that occurred after 1993. Since then, in any given race, about three to four times as many men as women ran relatively fast. The stable sex difference in relative performance shown here for non-elites constitutes new support for the hypothesis of an evolved male predisposition for enduring competitiveness.     

Modeling the Information Preferences of Parents of Children with Mental Health Problems: A Discrete Choice Conjoint Experiment

Although materials informing parents about children’s mental health (CMH) problems can improve outcomes, we know relatively little about the design factors that might influence their utilization of available resources. We used a discrete choice conjoint experiment to model the information preferences of parents seeking mental health services for 6 to 18 year olds. Parents completed 30 choice tasks presenting experimentally varied combinations of 20 four-level CMH information content, transfer process, and outcome attributes. Latent class analysis revealed three segments with different preferences. Parents in the Action segment (43%) chose materials providing step-by-step solutions to behavioral or emotional problems. They preferred weekly meetings with other parents and coaching calls from a therapist. The Information segment (41%) chose materials helping them understand rather than solve their child’s problems. These parents were more sensitive to logistical factors such as receiving information in groups, the location where information was available, the modality in which the information was presented, and the time required to obtain and use the information. The Overwhelmed segment (16%) reported more oppositional and conduct problems, felt their children’s difficulties exerted a greater adverse impact on family functioning, and reported higher personal depression scores than those in the Action or Information segments. Nonetheless, they did not choose information about, or solutions to, the problems their children presented. Simulations predicted that maximizing utilization and realizing the potential benefits of CMH information would require knowledge transfer strategies consistent with each segment’s preferences.

A computational model of spatial visualization capacity

Visualizing spatial material is a cornerstone of human problem solving, but human visualization capacity is sharply limited. To investigate the sources of this limit, we developed a new task to measure visualization accuracy for verbally-described spatial paths (similar to street directions), and implemented a computational process model to perform it. In this model, developed within the Adaptive Control of Thought-Rational (ACT-R) architecture, visualization capacity is limited by three mechanisms. Two of these (associative interference and decay) are longstanding characteristics of ACT-R’s declarative memory. A third (spatial interference) is a new mechanism motivated by spatial proximity effects in our data. We tested the model in two experiments, one with parameter-value fitting, and a replication without further fitting. Correspondence between model and data was close in both experiments, suggesting that the model may be useful for understanding why visualizing new, complex spatial material is so difficult.     

Myopic biases in competitions

In three studies using both laboratory and field data, we show that the focal competitor’s strengths and weaknesses feature more prominently in predictions of the outcomes of future competitions than do the strengths and weaknesses of the opponents. People are more confident when their own side is strong, regardless of how strong the competition is. We show that this effect is driven by the fact that people have better information about their own side than the other side, in part because they preferentially seek out information about their own side. Implications for theories of decision making in competitive settings are discussed.     

A general connectionist model of attitude structure and change: the ACS (Attitudes as Constraint Satisfaction) model

A localist, parallel constraint satisfaction, artificial neural network model is presented that accounts for a broad collection of attitude and attitude-change phenomena. The network represents the attitude object and cognitions and beliefs related to the attitude, as well as how to integrate a persuasive message into this network. Short-term effects are modeled by activation patterns due to parallel constraint satisfaction processes, and long-term effects are modeled by weight changes due to the settling patterns of activation. Phenomena modeled include thought-induced attitude polarization, elaboration and attitude strength, motivated reasoning and social influence, an integrated view of heuristic versus systematic persuasion, and implicit versus explicit attitude change. Results of the simulations are consistent with empirical results. The same set of simple mechanisms is used to model all the phenomena, which allows the model to offer a parsimonious theoretical account of how structure can impact attitude change. This model is compared with previous computational approaches to attitudes, and implications for attitude research are discussed.     

Aging: I don’t want to be a cyborg!

Examination is made of a range of cyborg solutions to bodily problems due to damage, but here with particular reference to aging. Both technological and animal implants, transplants and prosthetic devices are phenomenologically analyzed. The resultant trade-off phenomena are compared to popular culture technofantasies and desires and finally to human attitudes toward mortality and contingency. The parallelism of resistance to contingent existence and to becoming a cyborg is noted.