When grades determine self-worth: consequences of contingent self-worth for male and female engineering and psychology majors

The impact of grades on daily self-esteem, affect, and identification with major was examined in a sample of 122 male and female students majoring in engineering and psychology. Self-esteem, affect, and identification with major increased on days students received good grades and decreased on days they received poor grades; basing self-esteem on academic competence moderated the effect of bad grades. Bad grades led to greater drops in self-esteem but not more disidentification with the major for women in engineering. Instability of self-esteem predicted increases in depressive symptoms for students initially more depressed.     

How to keep children safe in traffic: find the daredevils early

Crossing the street in front of oncoming vehicles poses serious danger to young children. But is each young pedestrian similarly at risk? The authors aimed to identify children who are particularly prone to making risky and potentially harmful crossing decisions. They used a simple game involving risk to classify 5- to 6-year-olds as risk takers or risk avoiders. Children classified as risk takers made more crossing decisions at a busy 1-way street than risk avoiders, tolerated shorter time intervals between initiation of the crossing decision and arrival of the next vehicle, and were more likely to cause a (hypothetical) accident. Finally, they made decisions more quickly than risk avoiders. The authors discuss the implication of these results for traffic safety programs.     

A common mechanism in verb and noun naming deficits in Alzheimer’s patients

We tested the ability of Alzheimer’s patients and elderly controls to name living and non-living nouns, and manner and instrument verbs. Patients’ error patterns and relative performance with different categories showed evidence of graceful degradation for both nouns and verbs, with particular domain-specific impairments for living nouns and instrument verbs. Our results support feature-based, semantic representations for nouns and verbs and support the role of inter-correlated features in noun impairment, and the role of noun knowledge in instrument verb impairment.     

Experience and grammatical agreement: Statistical learning shapes number agreement production

A robust result in research on the production of grammatical agreement is that speakers are more likely to produce an erroneous verb with phrases such as the key to the cabinets, with a singular noun followed by a plural one, than with phrases such as the keys to the cabinet, where a plural noun is followed by a singular. These asymmetries are thought to reflect core language production processes. Previous accounts have attributed error patterns to a syntactic number feature present on plurals but not singulars. An alternative approach is presented in which a process similar to structural priming contributes to the error asymmetry via speakers’ past experiences with related agreement constructions. A corpus analysis and two agreement production studies test this account. The results suggest that agreement production is shaped by statistical learning from past language experience. Implications for accounts of agreement are discussed.     

Language preference and reinforcing efficacy of praise in bilingual children with disabilities

We conducted a stimulus preference assessment to identify preference for praise delivered in English versus Spanish for bilingual students. Next, a concurrent-operant reinforcer assessment was used to evaluate the reinforcer efficacy of praise in each language. Participants showed limited to no preference for one language over another. One participant showed a slight preference for Spanish praise and Spanish praise functioned as a slightly more potent reinforcer. If a participant did not prefer a specific language of praise (i.e., undifferentiated preference or equal percentage of approaches), both languages were considered to be similarly reinforcing.     

A Probabilistic Constraints Approach to Language Acquisition and Processing

This article provides an overview of a probabilistic constraints framework for thinking about language acquisition and processing. The generative approach attempts to characterize knowledge of language (i.e., competence grammar) and then asks how this knowledge is acquired and used. Our approach is performance oriented: the goal is to explain how people comprehend and produce utterances and how children acquire this skill. Use of language involves exploiting multiple probabilistic constraints over various types of linguistic and nonlinguistic information. Acquisition is the process of accumulating this information, which begins in infancy. The constraint satisfaction processes that are central to language use are the same as the bootstrapping processes that provide entry to language for the child. Framing questions about acquisition in terms of models of adult performance unifies the two topics under a set of common principles and has important consequences for arguments concerning language learnability.     

Language learning and innateness: some implications of Compounds Research

In noun compounds in English, the modifying noun may be singular (mouse-eater) or an irregularly inflected plural (mice-eater), but regularly inflected plurals are dispreferred (*rats-eater). This phenomenon has been taken as strong evidence for dual-mechanism theories of lexical representations, which hold that regular (rule-governed) and irregular (exception) items are generated by qualitatively different and innately specified mechanisms. Using corpus analyses, behavioral studies, and computational modeling, we show that the rule-versus-exceptions approach makes a number of incorrect predictions. We propose a new account in which the acceptability of modifiers is determined by a constraint satisfaction process modulated by semantic, phonological, and other factors. The constraints are acquired by the child via general purpose learning algorithms, based on noun compounds and other constructions in the input. The account obviates the regular/irregular dichotomy while simultaneously providing a superior account of the data.