A memory-based model of Hick's law

We propose and evaluate a memory-based model of Hick’s law, the approximately linear increase in choice reaction time with the logarithm of set size (the number of stimulus–response alternatives). According to the model, Hick’s law reflects a combination of associative interference during retrieval from declarative memory and occasional savings for stimulus–response repetitions due to non-retrieval. Fits to existing data sets show that the model accounts for the basic set-size effect, changes in the set-size effect with practice, and stimulus–response-repetition effects that challenge the information-theoretic view of Hick’s law. We derive the model’s prediction of an interaction between set size, stimulus fan (the number of responses associated with a particular stimulus), and stimulus–response transition, which is subsequently tested and confirmed in two experiments. Collectively, the results support the core structure of the model and its explanation of Hick’s law in terms of basic memory effects.     

Behavioral intervention to treat selective mutism across multiple social situations and community settings

We evaluated a behavioral intervention for a 9-year-old girl with selective mutism. The intervention consisted of role play and video self-modeling. The frequency of spoken initiations, responses to questions, and communication breakdowns was measured during three social situations (i.e., ordering in a restaurant, meeting new adults, and playing with new children) and in three community settings. Results demonstrated increases in spoken initiations and responses and decreases in communication breakdowns across all situations and settings.     

Using multiple-exemplar training to teach a generalized repertoire of sharing to children with autism

The current study examined the utility of multiple-exemplar training to teach children with autism to share. Stimuli from 3 of 4 categories were trained using a treatment package of video modeling, prompting, and reinforcement. Offers to share increased for all 3 children following the introduction of treatment, with evidence of skill maintenance. In addition, within-stimulus-category generalization of sharing was evident for all participants, although only 1 participant demonstrated across-category generalization of sharing. Offers to share occurred in a novel setting, with familiar and novel stimuli, and in the presence of novel adults and peers for all participants during posttreatment probes.     

Strategic adaptation to performance objectives in a dual-task setting

How do people interleave attention when multitasking? One dominant account is that the completion of a subtask serves as a cue to switch tasks. But what happens if switching solely at subtask boundaries led to poor performance? We report a study in which participants manually dialed a UK‐style telephone number while driving a simulated vehicle. If the driver were to exclusively return his or her attention to driving after completing a subtask (i.e., using the single break in the xxxxx‐xxxxxx representational structure of the number), then we would expect to see a relatively poor driving performance. In contrast, our results show that drivers choose to return attention to steering control before the natural subtask boundary. A computational modeling analysis shows that drivers had to adopt this strategy to meet the required performance objective of maintaining an acceptable lateral position in the road while dialing. Taken together these results support the idea that people can strategically control the allocation of attention in multitask settings to meet specific performance criteria.     

The Importance of Community Context for Young Women’s Occupational Aspirations

The effects of community context on occupational aspirations are examined in a national sample of young women in high school in the USA in 1979 (n = 2,210). Multilevel statistical models indicate that young women living in counties with a lower divorce rate, a lower percentage of women working, and more people employed in the wholesale and retail industrial sector tended to be less likely to aspire to paid work than young women living in areas with a higher divorce rate, a higher percentage of women working, and fewer people employed in the wholesale and retail industrial sector. Community context does not affect the level of young women’s occupational aspirations as predicted by prior scholarship. An earlier version of this paper was presented at the 2006 Southern Sociological Society Annual Meetings. The author thanks John Reynolds, Patricia Yancey Martin, Irene Padavic, Robert Kunovich, Jennifer Keene, Mary Guy, and the editor and reviewers at Sex Roles for their helpful comments on previous drafts of this paper.     

Preliminary evidence of diurnal rhythms in everyday behaviors associated with positive affect

The authors used the Electronically Activated Recorder (EAR) to track within-day variability in everyday behaviors associated with positive and negative affect across two samples. The EAR is a portable audio recorder that periodically samples snippets of ambient sounds from participants’ momentary environments. The recorded sounds are then coded for different behaviors. The study tested whether previous findings regarding diurnal patterns in self-reported mood extend to naturalistically observed behavior. Across both samples, behavior associated with positive affect (i.e., socializing, laughing, and singing) varied according to a sinusoidal 24-h rhythm centered around participants’ average waketime while behavior associated with negative affect (i.e., arguing and sighing) did not. Further, there was preliminary evidence that personality traits can moderate these rhythms (e.g., their amplitude).     

Never quite good enough: The paradox of sticky developmental relationships for elite university graduates

Drawing on the mentoring, education, and social psychology literatures, this longitudinal study examines how the persistence of developmental relationships from an elite graduate school influences subjective career outcomes during early career. Participants (n = 136) were surveyed about their developmental networks—a group of individuals who take an active interest in and action to advance a focal individual’s career—and subjective career outcomes over the 10 years (1996-2006) post graduation. Results show that although receiving mentoring from one’s entire developmental network was positively related to career-related self-efficacy and perceptions of career success, this was not the case for ties retained from graduate school. Continuing to receive mentoring support from developers from graduate school and further, from peers from graduate school, was negatively related to perceptions of career success. These findings offer insight into the dynamics and potentially negative consequences of developmental networks and highlight the significance of social comparison during early career.     

Categories and Dimensions

ABSTRACT— The distinction between categories and dimensions has important consequences for basic and applied science in many areas of psychological research. Decisions as to whether individuals should be assigned to groups or located along one or more continua often are based on personal preferences or discipline-specific measurement traditions, which can lead to the creation, use, or reification of spurious categories or dimensions. Methods for evaluating the latent structure of psychological constructs, using powerful and informative tests between competing models, are available. Rather than choosing on a priori grounds, investigators can perform structural research to evaluate the strength and consistency with which results tease apart categorical and dimensional models. Here, we review why researchers should make this distinction empirically, briefly discuss methods available for doing so, and describe the breadth of areas ripe for exploiting the largely untapped potential of structural research.     

A computational model of early argument structure acquisition

How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning mechanisms that can grasp generalizations from examples of specific usages, and that exhibit patterns of behavior over the course of learning similar to those in children. Early learning of verb argument structure is an area of language acquisition that provides an interesting testbed for such approaches due to the complexity of verb usages. A range of linguistic factors interact in determining the felicitous use of a verb in various constructions —associations between syntactic forms and properties of meaning that form the basis for a number of linguistic and psycholinguistic theories of language. This article presents a computational model for the representation, acquisition, and use of verbs and constructions. The Bayesian framework is founded on a novel view of constructions as a probabilistic association between syntactic and semantic features. The computational experiments reported here demonstrate the feasibility of learning general constructions, and their exceptions, from individual usages of verbs. The behavior of the model over the timecourse of acquisition mimics, in relevant aspects, the stages of learning exhibited by children. Therefore, this proposal sheds light on the possible mechanisms at work in forming linguistic generalizations and maintaining knowledge of exceptions.