The life tasks model: Enhancing psychological and spiritual growth in the aged

ABSTRACT

The life tasks model is an active, mutual, and potentially universal approach to the spiritual care of the aged. A life task is a responsibility, once undertaken, that lasts a lifetime. Three tasks are identified. Task 1 is the discovery of hidden learning. The process of discovery draws on implicit learning that comes into awareness. This leads to task 2, testing in which learning brought into awareness is tested by other life experiences. The final task is task 3, integration, in which a more aware and cohesive self is formed. Ideally, this leads to service or vocation. Progress on the life tasks is illustrated by responses in a qualitative study of older adults. Although this model can be applied to self-growth and ministry to all ages, it is well suited to the care of the aged.     

Positive Metacognitions and Meta-Emotions as Predictors of Posttraumatic Stress Disorder and Posttraumatic Growth in Survivors of a Natural Disaster

ABSTRACT

Exposure to natural disasters can lead to both negative and positive mental health consequences (i.e., posttraumatic stress disorder [PTSD] and posttraumatic growth [PTG]). While there is evidence linking metacognition to these outcomes, the focus is mostly on maladaptive metacognitions. The present study investigated the role of positive metacognitions and meta-emotions (i.e., confidence in extinguishing perseveration [Extinguishing], confidence in interpreting emotions as cues [Interpreting], and confidence in setting flexible and attainable hierarchies of goals [Setting]) on PTSD and PTG among Filipino typhoon survivors. Findings supported a model wherein Extinguishing and Setting, but not Interpreting, predicted PTSD and PTG through posttraumatic cognitions.     

Natural Disasters in Indonesia: Relationships Among Posttraumatic Stress,Resource Loss,Depression, Social Support,and Posttraumatic Growth

ABSTRACT

Indonesia is at significant risk for catastrophic natural disasters, including earthquakes, volcanic eruptions, and tsunamis. Few studies have examined psychological functioning following disaster exposure in Indonesia, the fourth most populous country in the world. This study assesses variables associated with posttraumatic stress and posttraumatic growth following a devastating earthquake in Central Java that ranks as one of the costliest in Indonesia. The participants were 85 men and women living in rural farming villages. Almost all (95%) experienced major home damage or total home destruction. Posttraumatic stress symptoms were associated with resource loss, depression, and concerns about future earthquakes. Participants reported moderate posttraumatic growth. Posttraumatic growth was associated with energy resource loss and social support. The findings support conservation of resources stress theory. The implications of the findings for intervention and recovery programs are discussed.     

Prospective writing: Randomized controlled trial of an intervention for facilitating growth after adversity

Little is known about how posttraumatic growth (PTG) can be fostered and controversy surrounds how it is best measured. We designed and tested an intervention, prospective writing, to facilitate PTG by encouraging people to explore new possibilities after adversity. Adults (N = 188) with recent adverse experiences were randomly assigned to do prospective writing, factual writing, or no writing weekly for one month. PTG was assessed with both retrospective and current-standing measures. Hierarchical linear modeling and response profile analysis were used to assess the intervention’s impact, and latent growth curve modeling was used to test mediation. Prospective writing participants showed the greatest gains in PTG as assessed by the current-standing measure, but did not reliably show greater retrospective PTG than controls. Although large effect sizes for the mediation paths suggested that engagement with new possibilities may be a plausible mechanism, this result fell short of statistical significance. Prospection-based interventions merit further investigation.     

Growth curve models in retrospective memory and prospective memory: the relationship between prediction and performance with task experience

Older adults commonly experience declines in episodic memory that affect their daily lives. The aim was to examine whether the acquired metacognitive awareness that comes with task experience, indexed by meta-retrospective memory (meta-RM)/meta-prospective memory (meta-PM), influences how older adults predict performance on later trials. Participants were 178 community-dwelling older adults. RM performance and predictions were measured using a multi-trial word-list learning task. Predictions and performance for PM were measured using a PM paradigm. Change in RM/PM performance and predictions over the trials/blocks were modelled using latent growth curve analyses. For RM, both predictions and performance increased with task experience. However, for PM, neither performance nor predictions changed with task experience. Hierarchical multiple regressions revealed that metacognitive awareness acquired during the RM and PM tasks influenced how older adults’ modified their predictions of subsequent task performance. Findings are consistent with [Toglia and Kirk’s (2000). Understanding awareness deficits following brain injury. NeuroRehabilitation, 15(1), 57–70] hypothesis that individuals compare ongoing performance to expectations based on metacognitive knowledge, such that a discrepancy between actual and expected performance may influence emergent awareness.     

Personality as a predictor of driving performance: An exploratory study

Objective

To examine the role of psychological type in older driver performance.

Methods

A convenience sample of 50 older adults was prospectively enrolled in the study. Each completed a demographic profile, the Myers–Briggs Type Indicator® (MBTI®) Step III™ instrument, a self-reported Safe Driving Behaviors Measure (SDBM), clinical tests and a standardized on-road driving evaluation yielding a fail/pass determination and Sum of Maneuvers Score (SMS).

Results

Participants (M age = 72.96, SD = 4.78) who had Extraversion and Judging preferences were better drivers than those with Introversion or Perceiving preferences. Those with Sensing vs. Intuition preferences rated themselves better on the SDBM (S = 317.62, N = 305.33; t(48) = 2.19, p = .03). Those with Introvert preferences failed the on-road course with sensitivity = .714, specificity = .767, area under the curve = .76, p = .03.

Conclusion

Our findings provide the basis for further research investigating personality and driving. Specifically, if the main findings are consistent in a representative sample of older drivers, personality testing may be added to a driving assessment battery. Future research must build on these findings to more clearly identify the risk associated with psychological type and examine how personality profiles can be used to keep older drivers on the road longer and more safely.     

Developmental models for children's temperament: alternatives to chronometric polynomial curves

Partridge and Lerner (2007), in a secondary analysis of the New York Longitudinal Study, employed a chronometric polynomial growth curve model to argue that the developmental course of difficult temperament follows a non‐linear trajectory over the first 5 years of life. The free curve slope intercept (FCSI) growth curve model of Meredith and Tisak (1990) is presented as a preferable conceptual alternative because it contains a number of currently popular statistical models, including repeated measures multivariate analysis of variance, factor mean, linear growth, linear factor analysis, and hierarchical linear models as special cases. As such, researchers can compare the fit of each of these models relative to the FCSI model, and, at times, to each other. The present paper conducts a re‐analysis of the data, and establishes that fit of the FCSI model is arguably better than other statistical alternatives. The FCSI model is also used as the basis for identifying subgroups of individuals with their qualitatively distinct growth patterns within a growth mixture modeling framework. Copyright © 2010 John Wiley & Sons, Ltd.     

德性自我意象、道德情绪与行为自我管理：对大学生的一项交叉滞后研究

研究采用交叉时序滞后设计,以问卷法对363名大学生进行了6个月的追踪调查,考察了德性自我意象、道德情绪（内疚/羞愧）与行为自我管理之间的相互预测关系。结果表明,德性自我意象、内疚和羞愧均能显著地正向预测道德行为自我管理,德性自我意象、内疚和羞愧可能是道德行为自我管理的前因变量。     

Structure of the Wechsler Adult Intelligence Scale – Revised in the Italian Normal Standardisation Sample

Six multifactor correlated traits models and a single-factor model of the WAIS-R's factor pattern were examined by confirmatory maximum likelihood factor analyses of a data matrix from the WAIS-R's Italian normative sample raw scores (N=2284). The main aim was to identify what model(s) best fit(s) the data for the different age groups considered. Analyses were designed to determine which of seven hypothesised factor solutions best explained the intellectual ability of four age bands (16 to 74 years of age) and of all samples. Results showed the same three-correlated-factors model (Verbal, Performance, and Freedom From Distractibility) for the younger (16 to 24 years of age) and for more aged (65 to 74 years of age), and two different three-factor models for the adult (band from 25 to 64 years of age) that had in common the presence of Digit Symbol loading on Freedom From Distractibility, that in the younger and aged band loaded on Perceptual Organisation. The individuals may use different strategies when performing a given task on the WAIS-R. Such differences in latent variability may represent real differences in neuropsychological functioning, and as such can account for some of the variability in results noted in the literature. Differences in latent variability across distinct demographic and clinical groups could provide important insight into brain–behaviour relationships.     

Phases of procedural learning and memory: characterisation with perceptual-motor sequence tasks

ABSTRACT

Procedural learning and memory has been conceptualised as consisting of cognitive and autonomous phases. Although the Serial Reaction Time Task (SRTT) is a popular task used to study procedural memory (PM), it has not been used to explore the different phases of PM. The present study employed a modified SRTT and investigated whether it can distinguish phases of PM. Our results revealed that performance at the beginning of typing a repeating sequence was marked by a steep learning curve, followed by gradual improvements and ending in high performance levels without further improvement. Steep performance increases characterise the effortful learning of the cognitive phase, gradual increases at higher performances characterise emerging automatisation of the associative phase, and sustained highest performance characterises autonomous procedures when PM has formed. Our study presents an easy-to-use measure, capable of distinguishing phases of PM, and which can be useful to assess PM during brain development.