The influence of making judgments of learning on memory performance: Positive,negative, or both?

Psychonomic Bulletin & Review - A common measure of memory monitoring——judgments of learning (JOLs)——has recently been shown to have reactive effects on learning. When...     

Crisis,Biology, Ecology: A New Starting-Point for Phenomenology?

The crisis of European sciences in Husserl’s late work diagnoses Galilean science as specifically and necessarily losing touch with the intuitive evidence that would legitimate it due to its reliance on a formal-mathematical conceptual apparatus. While the vast majority of Husserl’s late work was focussed on a critique of the formal-mathematical paradigm of the physical science of nature, at several points the possibility of biology as the exemplary science is raised to suggest that the lack of a reliance on formal-mathematical conceptual language would mean that a systemic crisis would not occur in such a case. This investigation considers the grounds for the expectation that biology would not engender a crisis, suggests that a paradigmatic role for ecology would more adequately address this expectation, and finally claims that the question of the relation between a specific exemplary science and transcendental phenomenology is not fully resolved even in this case.     

Development and Initial Validation of the Five-Factor Model Adolescent Personality Questionnaire (FFM–APQ)

This research reports on the 4-phase development of the 25-item Five-Factor Model Adolescent Personality Questionnaire (FFM–APQ). The purpose was to develop and determine initial evidence for validity of a brief adolescent personality inventory using a vocabulary that could be understood by adolescents up to 18 years old. Phase 1 (N = 48) consisted of item generation and expert (N = 5) review of items; Phase 2 (N = 179) involved item analyses; in Phase 3 (N = 496) exploratory factor analysis assessed the underlying structure; in Phase 4 (N = 405) confirmatory factor analyses resulted in a 25-item inventory with 5 subscales.     

The everyday dynamics of rumination and worry: precipitant events and affective consequences

ABSTRACT

Rumination and worry are two perseverative, negatively valenced thought processes that characterise depressive and anxiety disorders. Despite significant research interest, little is known about the everyday precipitants and consequences of rumination and worry. Using an experience sampling methodology, we examined and compared rumination and worry with respect to their relations to daily events and affective experience. Participants diagnosed with Major Depressive Disorder (MDD), Generalized Anxiety Disorder (GAD), co-occurring MDD–GAD, or no diagnosis carried an electronic device for one week and reported on rumination, worry, significant events, positive affect (PA), and negative affect (NA). Across the clinical groups, occurrences of everyday events predicted subsequent increases in rumination, but not worry. Further, higher momentary levels of rumination, but not worry, predicted subsequent decreases in PA and increases in NA. Thus, in these clinical groups, rumination was more susceptible to daily events and produced stronger affective changes over time. We discuss implications for theory and clinical intervention.     

Prospective Elementary Teachers Learning to Reason Flexibly with Sums and Differences: Number Sense Development Viewed Through the Lens of Collective Activity

I present a viable learning trajectory for prospective elementary teachers’ number sense development with a focus on whole-number place value, addition, and subtraction. I document a chronology of classroom mathematical practices in a Number and Operations course. The findings provide insights into prospective elementary teachers’ number sense development. These include the role of standard algorithms and their relationship to the evolution of classroom mathematical practices that involve reasoning flexibly about number composition, sums, and differences.     

It is written all over your face: Socially rejected people display microexpressions that are detectable after training in the Micro Expression Training Tool (METT)

Social rejection is a powerful negative emotional experience, yet rejected people often appear stoic and unmoved. That is, their macroexpressions of emotion are not accurate reflections of their emotional states. Yet, there is reason to believe that rejected people exhibit involuntary microexpressions of negative emotion. We contrasted people's macroexpressions of emotion with their microexpressions subsequent to an acceptance or rejection experience. Observers coded microexpressions after being trained with the Micro Expression Training Tool. Rejected participants expressed more sad and angry microexpressions than did accepted participants. This research demonstrates that socially rejected people display negative microexpressions that are detectable by observers trained in the Micro Expression Training Tool.     

Semantic classification of pictures and words

We provide new behavioural norms for semantic classification of pictures and words. The picture stimuli are 288 black and white line drawings from the International Picture Naming Project ([Székely, A., Jacobsen, T., D'Amico, S., Devescovi, A., Andonova, E., Herron, D., et al. (2004). A new on-line resource for psycholinguistic studies. Journal of Memory & Language, 51, 247–250]). We presented these pictures for classification in a living/nonliving decision, and in a separate version of the task presented the corresponding word labels for classification. We analyzed behavioural responses to a subset of the stimuli in order to explore questions about semantic processing. We found multiple semantic richness effects for both picture and word classification. Further, while lexical-level factors were related to semantic classification of words, they were not related to semantic classification of pictures. We argue that these results are consistent with privileged semantic access for pictures, and point to ways in which these data could be used to address other questions about picture processing and semantic memory.     

State‐Trace Analysis: Dissociable Processes in a Connectionist Network?

Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed (Dunn, 2003). One proposed solution is state‐trace analysis (Bamber, 1979), which involves plotting, across two or more conditions of interest, performance measured by either two dependent variables, or two conditions of the same dependent measure. The resulting analysis is considered to provide evidence that either (a) a single process underlies performance (one function is produced) or (b) there is evidence for more than one process (more than one function is produced). This article reports simulations using the simple recurrent network (SRN; Elman, 1990) in which changes to the learning rate produced state‐trace plots with multiple functions. We also report simulations using a single‐layer error‐correcting network that generate plots with a single function. We argue that the presence of different functions on a state‐trace plot does not necessarily support a dual‐system account, at least as typically defined (e.g. two separate autonomous systems competing to control responding); it can also indicate variation in a single parameter within theories generally considered to be single‐system accounts.