Enhancement of phonological memory following transcranial magnetic stimulation (TMS)

Phonologically similar items (mell, rell, gell) are more difficult to remember than dissimilar items (shen, floy, stap), likely because of mutual interference of the items in the phonological store. Low-frequency transcranial magnetic stimulation (TMS), guided by functional magnetic resonance imaging (fMRI) was used to disrupt this phonological confusion by stimulation of the left inferior parietal (LIP) lobule. Subjects received TMS or placebo stimulation while remembering sets of phonologically similar or dissimilar pseudo-words. Consistent with behavioral performance of patients with neurological damage, memory for phonologically similar, but not dissimilar, items was enhanced following TMS relative to placebo stimulation. Stimulation of a control region of the brain did not produce any changes in memory performance. These results provide new insights into how the brain processes verbal information by establishing the necessity of the inferior parietal region for optimal phonological storage. A mechanism is proposed for how TMS reduces phonological confusion and leads to facilitation of phonological memory.     

A note on ROC analysis and non-parametric estimate of sensitivity

In the signal detection paradigm, the non-parametric index of sensitivity A′, as first introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d′ measure of sensitivity. Smith (1995) clarified a confusion about the interpretation of A′ in relation to the area beneath proper receiver operating characteristic (ROC) curves, and provided a formula (which he called A′′) for this commonly held interpretation. However, he made an error in his calculations. Here, we rectify this error by providing the correct formula (which we call A) and compare the discrepancy that would have resulted. The corresponding measure for bias b is also provided. Since all such calculations apply to “proper” ROC curves with non-decreasing slopes, we also prove, as a separate result, the slope-monotonicity of ROC curves generated by likelihood-ratio criterion.This revised article was published online in August 2005 with the PDF paginated correctly.     

Adapting to Context in Community-Based Participatory Research: “Participatory Starting Points” in a Chinese Immigrant Worker Community

Community-based participatory research (CBPR) is increasingly being used to better understand and improve the health of diverse communities. A key strength of this research orientation is its adaptability to community contexts and characteristics. To date, however, few studies explicitly discuss adaptations made to CBPR principles and processes in response to community context and partners’ needs. Using data from our CBPR study, the San Francisco Chinatown Restaurant Worker Health and Safety Project, and drawing from literature on immigrant political incorporation, we examine the links between the contexts of the Chinese immigrant worker community, adaptations made by our collaborative, and study outcomes. In particular, we explore the concepts of contexts of reception and participatory starting points, which may be especially relevant for partnerships with immigrant communities whose members have historically had lower rates of civic and political participation in the US. We discuss contextual findings such as worker partner accounts of language barriers, economic and social marginalization, and civic skills and participation, as well as subsequent adaptations made by the partnership. We also describe the relative effectiveness of these adaptations in yielding equitable participation and building partners’ capacity. We conclude by sharing lessons learned and their implications for CBPR and partnerships with immigrant communities more broadly.     

Contributions of beliefs and processing fluency to the effect of relatedness on judgments of learning

Discovering how people judge their memories has been a major issue for metacognitive research for over 4 decades; many factors have been discovered that affect people’s judgments, but exactly how those effects are mediated is poorly understood. For instance, the effect of word pair relatedness on judgments of learning (JOLs) has been repeatedly demonstrated, yet the underlying basis of this substantial effect is currently unknown. Thus, in three experiments, we assessed the contribution of beliefs and processing fluency. In Experiment 1, participants studied related and unrelated word pairs and made either prestudy JOLs or immediate JOLs. Participants gave higher estimates for related than for unrelated pairs, suggesting that participants’ beliefs at least partially drive the relatedness effect on JOLs. Next, we evaluated the contribution of processing fluency to the relatedness effect either (1) by disrupting fluency by presenting half the pairs in an aLtErNaTiNg format (Experiment 2) or (2) by measuring how fluently participants processed pairs at study and statistically estimating the degree to which conceptual fluency mediated the effects of relatedness on JOLs (Experiment 3). Results from both experiments indicated that fluency contributes minimally to the relatedness effect. Taken together, these results indicate that people’s beliefs about how relatedness influences memory are responsible for mediating the relationship between relatedness and JOLs. In general, empirically establishing what mediates the effects of other factors on people’s judgments remains a major agenda for advancing theory of metacognitive monitoring.     

Lucy's dividing family: My discovery of the person in the subject

Abstract

This essay is excerpted from a larger project the author conducted with adolescent and preadolescent children of divorce. It tells the personal story of the author's first interview experience with her first participant in this project, here called Lucy. At the time of the interview, she was 11 years old and her parents had been divorced for 3 years. In the effort to engage the reader as an outside interpreter of her story, this essay invites the reader in, to the “raw data” of Lucy's experiences, as described in her words. Presented here in dialogue are the two voices of participant and researcher, as well as researcher reflections and recollections of this memorable experience.     

A Meta‐Analytic Structural Model of Dispositonal Affectivity and Emotional Labor

The exponential growth of the service economy has increased the attention that organizational researchers have paid to the concept of emotional labor. Although much progress has been made in the field, few studies have provided an integrated picture of how individual dispositions, perceived display rules, and emotional labor behaviors shape employee outcomes. To clarify and compare results across this growing body of literature, a quantitative review was developed, along with a theoretically derived path diagram of key emotional labor constructs. Evidence from our structural meta‐analytic model based on 116 primary studies demonstrates that examining affective dispositions and emotional labor constructs and the pattern of positive and negative results helps to clarify and add specificity to the literature. Results were consistent with the perspective that surface acting emotion regulation strategies have a pattern of negative relationships with work outcomes of job satisfaction and stress/exhaustion (but not with job performance), whereas deep acting emotion regulation strategies have a pattern of positive relationships with all of these work outcomes.     

A Survey of the Sources of Noise in fMRI

Functional magnetic resonance imaging (fMRI) is a noninvasive method for measuring brain function by correlating temporal changes in local cerebral blood oxygenation with behavioral measures. fMRI is used to study individuals at single time points, across multiple time points (with or without intervention), as well as to examine the variation of brain function across normal and ill populations. fMRI may be collected at multiple sites and then pooled into a single analysis. This paper describes how fMRI data is analyzed at each of these levels and describes the noise sources introduced at each level.     

Barriers to Treatment in an Ethnically Diverse Sample of Families Enrolled in a Community-Based Domestic Violence Intervention

Using quantitative and qualitative data, we examined the association between barriers to treatment, motivating factors, treatment attendance, and outcome in a sample of 63 mothers (most of Asian or Pacific Islander descent) enrolled in a family-based domestic violence treatment program. A high number of perceived barriers was associated with lower attendance and lower scores on assessment of parenting practices at posttreatment. Mothers reported relying on their own motivation, observations of children's improvement, and the quality of their relationships with staff and group members to overcome barriers. A larger number of motivating factors was associated with positive parenting practices at posttreatment. Discussion includes the benefits of a mixed-method approach to measuring barriers and its clinical application to increase treatment participation.     

Executive-process interactive control: A unified computational theory for answering 20 questions (and more) about cognitive ageing

Although the effects of ageing on human information processing and performance have been studied extensively, many fundamental questions about cognitive ageing remain to be answered definitively. For example, what are the sources of age-related slowing? How much is working-memory capacity reduced in older adults? Is time-sharing ability lost with age? Answering such questions requires a unified computational theory that characterises the interactive operations of many component mental processes and integrates diverse data on cognitive ageing. Toward fulfilling this requirement, an executive-process interactive control (EPIC) architecture has been extended to model performance of both young and older adults. EPIC models yield accurate accounts of ageing effects on reaction times and accuracy in basic dual-task and working-memory paradigms. From these accounts, it appears that time-sharing ability and working-memory capacity decrease relatively little until after 70 years of age. Before age 70, at least some apparent performance decrements may be attributable to conservative executive processes and inefficient task procedures rather than decreased "hardware" functionality. By clarifying and deepening such insights, unified computational theories like EPIC will help answer many questions about cognitive ageing.     

Knowledge junkies or careerbuilders? A mixed-methods approach to exploring the determinants of students' intention to earn a PhD

What are the determinants of students' interest in earning a PhD? In this study, we use a mixed-methods approach to pursue this question. Based on qualitative interview data, we develop a model in which academic motivation and academic achievement interact with contextual factors such as working conditions to influence career intentions. We then test this model using a sample of 229 students currently enrolled in master-level courses of study at a German university. Our results speak to the role of intrinsic versus extrinsic motivations in the context of PhD intentions. In contrast to our expectations, results suggest that while intrinsic life aspirations and the intellectual challenge of gaining a PhD play a significant role for students' intention to pursue a PhD, extrinsic life aspirations and contextual determinants seem to be less influential. Furthermore, results highlight the importance of gaining familiarity and experience with academic work for students' career decisions.