The nature of phonological processing in oral reading: Evidence from surface dyslexia

Investigation of a neurological patient (PT) who presents with a relatively pure disorder of reading was carried out. His performance on a number of oral reading tasks was very similar to that of the surface dyslexic patient (HTR) reported by Shallice, Warrington and McCarthy (1983). Both patients showed an effect of “degree” of regularity in terms of accuracy of reading response. PT did not, however, show an effect of “typicality of divergence”, which was considered by Shallice and his colleagues to be responsible for the former effect. The size of orthographic-phonological unit operational in PT's oral reading was experimentally determined. PT appeared to rely on grapheme-phoneme correspondences that were assigned in a probabilistic rather than an “all-or-none” manner. No evidence for the existence of the sub-syllable as an independent unit was found. In contrast, this unit apparently mediated the performance of skilled adult readers. Implications of these results for models of the phonological route are discussed.     

Predictors of Participation in Performance Appraisal: A Voluntary System in a Blue-Collar Work Environment

Organisations have long acknowledged the value of performance appraisal in both administration decisions and in motivating employees. However, it would appear that most empirical research has focused on compulsory systems designed for use with executives and managers (Bannister and Balkin 1990; Ilgen, Fisher and Taylor 1979; Klein 1989). The reluctance to implement appraisal systems with lower level and base-grade employees may be due to several factors, including employee and union resistance to compulsory systems of appraisal (Nankervis 1990). Faced with this problem, appraisal can be viewed by appraisees and appraisers as an `innovation'. In a climate with growing emphasis on participative management styles, self-regulated or voluntary systems of performance appraisal may become increasingly prevalent and important. Thus, 476 base-grade (shop floor) employees of an Australian government business enterprise completed a survey regarding issues such as attitude to performance appraisal, source credibility, system satisfaction, anticipated feedback, perceived consequences of participation and intention to enter the system. Roger's (1983) innovation-decision model was utilised in the structure and analysis of the data and provided useful insights regarding the factors which are related to participation in a voluntary system of performance appraisal. Findings indicated that attitude towards, and support of, performance appraisal in general, perception of consequences of performance appraisal, satisfaction with the supervisor, anticipated feedback, and awareness and knowledge of the system in place in the organisation, were important in predicting the decision to adopt or reject the performance appraisal scheme.     

A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm

Response inhibition is frequently investigated using the stop-signal paradigm, where participants perform a two-choice response time task that is occasionally interrupted by a stop signal instructing them to withhold their response. Stop-signal performance is formalized as a race between a go and a stop process. If the go process wins, the response is executed; if the stop process wins, the response is inhibited. Successful inhibition requires fast stop responses and a high probability of triggering the stop process. Existing methods allow for the estimation of the latency of the stop response, but are unable to identify deficiencies in triggering the stop process. We introduce a Bayesian model that addresses this limitation and enables researchers to simultaneously estimate the probability of trigger failures and the entire distribution of stopping latencies. We demonstrate that trigger failures are clearly present in two previous studies, and that ignoring them distorts estimates of stopping latencies. The parameter estimation routine is implemented in the BEESTS software (Matzke et al., Front. Quantitative Psych. Measurement, 4, 918; 2013a) and is available at http://dora.erbe-matzke.com/software.html.     

Information Mismatch: Cancer Risk Counseling with Diverse Underserved Patients

As genetics and genomics become part of mainstream Medicine, these advances have the potential to reduce or exacerbate health disparities. Gaps in effective communication (where all parties share the same meaning) are widely recognized as a major contributor to health disparities. The purpose of this study was to examine GC-patient communication in real time, to assess its effectiveness from the patient perspective, and then to pilot intervention strategies to improve the communication. We observed 64 English-, 35 Spanish- and 25 Chinese-speaking (n = 124) public hospital patients and 10 GCs in 170 GC appointments, and interviewed 49 patients who were offered testing using the audio recordings to stimulate recall and probe specific aspects of the communication. Data analyses were conducted using grounded theory methods and revealed a fundamental mismatch between the information provided by GCs and the information desired and meaningful to patients. Several components of the communication that contributed to this mismatch and often resulted in ineffective communication included: (1) too much information; (2) complex terminology and conceptually difficult presentation of information; (3) information perceived as not relevant by the patient; (4) unintentional inhibition of patient engagement and question-asking; (5) vague discussions of screening and prevention recommendations. Our findings indicate a need to transform the standard model of genetic counseling communication using evidence-based principles and strategies from other fields of Medicine. The high rates of limited health literacy in the US, increasing access of diverse populations to genetic services, and growing complexity of genetic information have created a perfect storm. If not directly addressed, this convergence is likely to exacerbate health disparities in the genomic age.     

Are Gender Differences in Self-Reported Rumination Explained by Women��s Stereotyping?

Although Response Styles Theory posits gender differences in ruminative thought related to depression, evidence of these differences resides largely in self-report data, leading us to hypothesize that stereotyping may influence women??s perceived rumination. In an online survey with 94 U.S. Midwestern college women and 74 men, the re-affirmed relationship between gender and rumination (such that women reported higher levels than men) was moderated by general stereotype acceptance and endorsement of traditional roles for women (benevolent sexism). Only for women were stereotype acceptance and benevolent sexism positively related to perceived rumination, suggesting that rumination may be reported most by women who believe it to be a gender-appropriate response and raising questions about the robustness of gender differences in actual rumination.     

Relationships and Inflammation across the Lifespan: Social Developmental Pathways to Disease

There are well documented links between close relationships and physical health, such that those who have supportive close relationships have lower rates of morbidity and mortality compared to those who do not. Inflammation is one mechanism that may help to explain this link. Chronically high levels of inflammation predict disease. Across the lifespan, people who have supportive close relationships have lower levels of systemic inflammation compared to people who have cold, unsupportive, conflict-ridden relationships. Not only are current relationships associated with inflammation, but past relationships are as well. In this article, we will first review the literature linking current close relationships across the lifespan to inflammation. We will then explore recent work showing troubled past relationships also have lasting consequence on people's inflammatory levels. Finally, we will explore developmental pathways that may explain these findings.