The protective function of personal growth initiative among a genocide-affected population in Rwanda

The aim of the current study was to investigate the extent to which individual differences in personal growth initiative (PGI) were associated with lower reports of functional impairment of daily activities among a genocide-affected population in Rwanda. PGI measures an individual’s motivation to develop as a person and the extent to which he or she is active in setting goals that work toward achieving self-improvement. We found that PGI was negatively associated with functional impairment when controlling for depression, posttraumatic stress disorder, and other demographic factors. Our results suggest that PGI may constitute an important mindset for facilitating adaptive functioning in the aftermath of adversity and in the midst of psychological distress, and as such they might have practical applications for the development of intervention programs

Randomized controlled trial of SecondStory, an intervention targeting posttraumatic growth, with bereaved adults

Objective: People often report positive psychological changes after adversity, a phenomenon known as posttraumatic growth (PTG). Few PTG-focused interventions have been rigorously tested, and measurement strategies have had significant limitations. This study evaluated the effects of a new group-format psychosocial intervention, SecondStory, aimed at facilitating PTG by helping participants make meaning of the past and plan a purposeful future. Method: In a randomized controlled trial, adults (N = 112, 64% women) bereaved within five years were randomly assigned to SecondStory or an active control, expressive writing. The primary outcome, PTG, was measured using two contrasting methods: the Posttraumatic Growth Inventory, which asks participants retrospectively how much they believe they have changed due to struggling with adversity, and the Current-Standing Posttraumatic Growth Inventory, which tracks quantifiable change in participants’ standing in PTG domains over time. Secondary outcomes included depression symptoms, posttraumatic stress symptoms, and life satisfaction. Outcomes were measured at two-week intervals: pre-test, post-test, and three follow-up occasions. Hierarchical linear modeling was used to assess whether SecondStory participants experienced greater gains in primary and/or secondary outcomes over the eight-week trial. Results: Results indicated that SecondStory participants did not show significantly greater improvements than control participants on measures of PTG, posttraumatic stress, or life satisfaction, but did show greater decreases in depression symptoms by the first follow-up. Conclusions: These findings suggest that SecondStory may not facilitate PTG more effectively than existing interventions, but may be promising for addressing depression. Positive interventions may productively be refined to support people experiencing trauma and loss

Personality science, resilience, and posttraumatic growth

PASTOR represents an innovative development in the study of resilience. This commentary highlights how PASTOR can help both clarify critical questions in and benefit from engaging with new research in personality science on behavioral flexibility across situations in addition to stability over time, and also clarify the relationship between resilience and posttraumatic growth

Finding character strengths through loss: an extension of Peterson and Seligman (2003)

People can experience positive changes even in the midst of adversity and loss. We investigated character strengths following three recent shooting tragedies. Using an Internet database of respondents to the Values in Action Inventory of Strengths (VIA-IS), we compared responses from three groups of participants (N = 31,429) within close proximity of each event: those who completed it eight months prior to the event, and one month and two months after. Results suggested that for one of the events, participants who completed the VIA-IS after the event showed slightly different levels of self-reported character strengths compared to participants who completed the VIA-IS before the event, with some mean levels higher and others lower. The observed differences in character strengths were inconsistent across follow-up periods, and effect sizes were small (d values from –0.13 to 0.15). These findings raise questions about whether and how tragedies might catalyze differences in character strengths

Est-il possible d'estimer précisément la richesse spécifique de grands quadrats? Cas d'étude sur des données de calibration entre observateurs

International audienceThe number of species (species richness) is certainly the most widely used descriptor of plant diversity. However, estimating richness is a difficult task because plant censuses are prone to overlooking and identification errors that may lead to spurious interpretations. We used calibration data from the French ICP-level II plots (RENECOFOR) to assess the magnitude of the two kinds of errors in large forest plots. Eleven teams of professional botanists recorded all plants on the same eight 100-m2 plots in 2004 (four plots, eights teams) and 2005 (four plots, nine teams including six from 2004), first independently and then consensually. On average, 15.5% of the shrubs and trees above 2 m were overlooked and 2.3% not identified at the species level or misidentified. On average, 19.2% of the plant species below 2 m in height were overlooked and 5.3% were misidentified and 1.3% were misidentified at the genus level (especially bryophytes). The overlooking rate also varied with plant species, morphological type, plot and team. It was higher when only one botanist made the census. It rapidly decreased with species cover and increased with plot species richness, the recording time of the census in the tree layer and the number of the censuses carried out during the day in the ground layer. Familiarity of the team with the local flora reduced the risk of overlooking and identification errors, whereas training had little impact. Differences in species richness (over space or time) in large plots should be cautiously interpreted, especially when several botanists participate in the survey. In particular, the quality of the data needs to be evaluated using calibration training and, if necessary, may be improved by involving more experienced botanists working in teams and by fixing a minimum recording time