Autobiographical memory narratives in psychotherapy: A coding system applied to the case of Cynthia

Recent cognitive and psychodynamic oriented therapies have converged on the powerful role that narrative processing plays in psychotherapy. Although previous coding systems have examined specific aspects of memory narratives, there are no comprehensive methods for coding segments of clinical evaluations or psychotherapy sessions that zero in on the unit of a briefly recounted autobiographical memory narrative. The present single case study aims to introduce and to demonstrate the Coding System for Autobiographical Memory Narratives in Psychotherapy (CS-AMNP; Singer & Bonalume, 2008) with a young female client whom we call Cynthia. We applied this autobiographical memory narrative approach to the diagnostic interview of Cynthia in evaluation for psychotherapy and compared predictions based on its results to the clinician’s report of Cynthia\u27s actual therapeutic outcome. This study demonstrates the utility of the coding system for personality assessment and case conceptualization in the service of ongoing treatment. In addition, implications of this coding system for future research, clinical practice, and training are discussed

The Self and Autobiographical Memory: Correspondence and Coherence

Introduces a modified version of Conway and Pleydell-Pearce\u27s Self Memory System (SMS) account of autobiographical memory and the self. Discussion of a fundamental tension between adaptive correspondence and self-coherence; Examination of tension; Application of SMS to personality and clinical psychology

Narrative identity and meaning making across the adult lifespan: An introduction.

In a quiet but consistent way, a new subdiscipline of personality psychology-narrative identity research-has emerged. Its organizing concern is how individuals employ narratives to develop and sustain a sense of personal unity and purpose from diverse experiences across the lifespa

toward the scientific study of autobiographical memory narratives in psychotherapy

 In responding to Adler (2010) and Moertl, Boritz, Bryntwick, and Angus (2010), we elaborate three areas of discussion: (1) Defining the autobiographical memory narrative unit; (2) Clarifications regarding our approach to coding narrative memories; and (3) Potential future research.  Our response highlights the importance of a coding system specific to long-term narrative memories, the need to distinguish clearly what is meant by narrative memory, and the value of creating a bridge between the study of narrative memory in psychotherapy and research in cognitive science and personality psychology.    Â

Finding Clinical Internships in Rural Settings: A Survey and Report

Summarizes survey of American Psychological Association accredited clinical internships to determine extent of involvement with rural clients and opportunities for rural clinical/community work. Tables include list and brief description of 19 clinical internship programs with rural placements and 28 names and addresses for clinical internships with rural components

Creating and maintaining play connection in a toddler peer group

This study explores how one and two year old peers (henceforth toddlers) participate in joint play activities in a natural group-care setting. We focus on joint play activity between three toddler peers during one full day-care day in a Finnish toddler classroom. Questions guiding the analysis concern the sequential understanding of how play emerges within peer interaction and how toddler peers are able to build sustained co-participation in their joint play during the day. The analysis showed that joint play was fragmented and organized in short segments of dyadic or triadic interaction. Re-establishments of joint play and accumulation of significant play signals during the day were important practices for toddlers to constitute social organization and sustained co-participation in their multi-party peer play. The results strengthen our understanding of very young children as both more and less competent play companions in their peer groups and guide adults’ practice in relation to peer play in toddler classrooms.Peer reviewe

The Aussie, 1918-1931: cartoons, digger remembrance and First World War identity

Feelings of community, cultural definition and memory were kept alive through the soldiers’ mass circulation tabloid, the Aussie, examined here in the light of theorization of memory and representation, applied to both text and cartoons. The publication’s aim for veterans’ values to become shared national values is analysed in the light of its high profile usage of soft cartoon humour and also of nostalgia – highlighting the limitations as well as the effectiveness in terms of Australia’s evolving national identity. When the post-war economic situation worsened, deeper issues of national tension were glossed over by the use of scapegoats such as ‘profiteers’ and ‘lazy workers’. The armed forces were obliged to take on a political role of lobbying for their cause, but the Aussie as ‘cheerful friend’ experienced its own identity crisis that proved to be terminal

Real-time numerical forecast of global epidemic spreading: Case study of 2009 A/H1N1pdm

Background Mathematical and computational models for infectious diseases are increasingly used to support public-health decisions; however, their reliability is currently under debate. Real-time forecasts of epidemic spread using data-driven models have been hindered by the technical challenges posed by parameter estimation and validation. Data gathered for the 2009 H1N1 influenza crisis represent an unprecedented opportunity to validate real-time model predictions and define the main success criteria for different approaches. Methods We used the Global Epidemic and Mobility Model to generate stochastic simulations of epidemic spread worldwide, yielding (among other measures) the incidence and seeding events at a daily resolution for 3,362 subpopulations in 220 countries. Using a Monte Carlo Maximum Likelihood analysis, the model provided an estimate of the seasonal transmission potential during the early phase of the H1N1 pandemic and generated ensemble forecasts for the activity peaks in the northern hemisphere in the fall/winter wave. These results were validated against the real-life surveillance data collected in 48 countries, and their robustness assessed by focusing on 1) the peak timing of the pandemic; 2) the level of spatial resolution allowed by the model; and 3) the clinical attack rate and the effectiveness of the vaccine. In addition, we studied the effect of data incompleteness on the prediction reliability. Results Real-time predictions of the peak timing are found to be in good agreement with the empirical data, showing strong robustness to data that may not be accessible in real time (such as pre-exposure immunity and adherence to vaccination campaigns), but that affect the predictions for the attack rates. The timing and spatial unfolding of the pandemic are critically sensitive to the level of mobility data integrated into the model. Conclusions Our results show that large-scale models can be used to provide valuable real-time forecasts of influenza spreading, but they require high-performance computing. The quality of the forecast depends on the level of data integration, thus stressing the need for high-quality data in population-based models, and of progressive updates of validated available empirical knowledge to inform these models