An integrated mindfulness and acceptance-based program for young elite female basketball players: Exploratory study of how it works and for whom it works best

In order to better understand how an integrated mindfulness and acceptance-based intervention works and for whom it works best, study objectives were to examine (i) the trajectories of mindfulness skills and performance-related outcomes during the intervention, and athletes’ perceptions of the impact of the intervention; and (ii) the potential moderating effects of personality characteristics on changes in targeted variables associated with the intervention. The sample consisted of 40 young elite female basketball players (M = 16.33, SD = 0.75 years) from three incoming groups at the French Federal Basketball Center over a 3-year period. All players participated in a 15-week Mindfulness BasketBall Integrated program. They completed online questionnaires measuring personality traits 10 months before the intervention, as well as pre-, mid- and post-intervention measurements of mindfulness skills, intensity and directional interpretation of stress, and performance satisfaction. They also participated in semi-structured social validation interviews conducted one month after the intervention. The results of the multilevel growth curve (MGCA) and thematic analyses revealed how the mindfulness skills and performance-related outcomes evolved over the course of the intervention and how these changes were perceived by the athletes. Specifically, the MGCA showed significant linear increases in acceptance, positive stress direction, and performance satisfaction. The complementary social validation data indicated perceived improvements in mindfulness skills and performance. The MGCA also showed that baseline personality traits moderated the effects of the program on acceptance and experience of stress. These findings may be used to inform the design of more effective integrated mindfulness and acceptance-based interventions.     

Do infants have a sense of numerosity? A p‐curve analysis of infant numerosity discrimination studies

Research demonstrating that infants discriminate between small (e.g., 1 vs. 3 dots) and large numerosities (e.g., 8 vs. 16 dots) is central to theories concerning the origins of human numerical abilities. To date, there has been no quantitative meta‐analysis of the infant numerical competency data. Here, we quantitatively synthesize the evidential value of the available literature on infant numerosity discrimination using a meta‐analytic tool called p‐curve. In p‐curve the distribution of available p‐values is analyzed to determine whether the published literature examining particular hypotheses contains evidential value. p‐curves demonstrated evidential value for the hypotheses that infants can discriminate between both small and large unimodal and cross‐modal numerosities. However, the analyses also revealed that the published data on infants’ ability to discriminate between large numerosities is less robust and statistically powered than the data on their ability to discriminate small numerosities. We argue there is a need for adequately powered replication studies to enable stronger inferences in order to use infant data to ground theories concerning the ontogenesis of numerical cognition.     

Checking the Assumptions of Rasch's Model for Speed Tests

Two new tests for a model for the response times on pure speed tests by Rasch (1960) are proposed. The model is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and unknown rate parameters. The rate parameters are decomposed in a subject ability parameter and a test difficulty parameter. By treating the ability as a gamma distributed random variable, maximum marginal likelihood (MML) estimators for the test difficulty parameters and the parameters of the ability distribution are easily derived. Also the model tests proposed here pertain to the framework of MML. Two tests or modification indices are proposed. The first one is focused on the assumption of local stochastic independence, the second one on the assumption of the test characteristic functions. The tests are based on Lagrange multiplier statistics, and can therefore be computed using the parameter estimates under the null model. Therefore, model violations for all items and pairs of items can be assessed as a by-product of one single estimation run. Power studies and applications to real data are included as numerical examples.     

SK-克雷佩林心理测验--一种客观性人格测验的研究和编制

本研究遵循克雷佩林连续加算法的基本原则,充分吸收内田一克雷佩林心理测验的长处,参照其客观化的作业方式和操作方法,并加以改进,研究并编制出一套既科学又客观的连续加法运算作业测验,以编制者的名义命名为SK-克雷佩林心理测验。并根据作业曲线的变化特征提出了“作业商数”这一客观化指标,可以对受测者作业曲线的总体分布以及与标准作业曲线的符合或偏差程度有大致的了解,并由此推断个体心理机能各方面基本倾向是比较协调还是略有偏差等。     

"得荃忘鱼"、渔父哲学与当代道德"救亡"

明末顾炎武曾把易姓改号称为“亡国”,而把道德沦丧称为“亡天下”;清末严复写《救亡决论》一文,为民族救亡大声疾呼。今天中国虽无“亡国”之忧,却有“亡天下”之虞,“得荃忘鱼”的病象,“渔父哲学”的盛行,厚黑之道的猖獗,使“道德救亡”已成为当前中国最迫切的现实课题,中国不应回避也不能头痛医头脚痛医脚地对待这个问题,只有清理历史传统、改造社会生态才是“道德救亡”的唯一出路。     

Remembering,forgetting and (dis)enfranchised grief in everyday settings in English and Welsh towns: Migrants' and minorities’ translocal and local memories associated with funerary spaces and practices

In this paper we explore migrants' and minorities' memories and memory-making associated with death, funerary and remembrance practices, with particular attention to how this intersects with experiences of migration and/or being part of a cultural or religious minority. The paper examines different spaces including bodies, homes, translocal networks, cemeteries and crematoria, centred on insights from focus groups, biographical and key participant interviews in four medium sized multicultural towns in England and Wales. These case studies afford an exploration of the complex and dynamic ‘ecologies’ of migrant and minority memories and sense of citizenship in relation to death, bereavement and remembrance spaces and practices. Participant accounts highlight memories of past practices, (post)colonial marginalization, disenfranchisement, changes in practices, the strains of transnational grieving, pragmatic compromises and collaborating to improve funerary provision as endeavours of everyday citizenship. These are explored through two broad interlinked themes: firstly, translocal memories of past and evolving funerary and remembrance spaces, customs and practices; and secondly, relationality and autonomy through the choice of where to situate the dead, and implications for associated future memory-making.     

Varieties of graded forgetting

Forgetting is typically viewed as counterproductive in everyday life. However, it may mainly be harmful when it is complete, that is, all-encompassing and permanent, and not when it is graded, that is, partial and fluctuating. I propose that forgetting is in fact mostly graded, and that this is an essential reason that it is often helpful. I delineate three ways in which forgetting may be graded. First, it may occur with respect to one, but not another, part of a memory. Second, it may occur in one context, but not in another. Third, forgetting may be present at one point in time, but not at another. Also, I propose that different levels of forgetting are possible, based on whether an engram or a context is unavailable, silent, restricted, latent, or potent. Overall, I hypothesize that forgetting is often helpful because it can be flexible and tailored to the circumstances.     

Latent Growth Curve and Repeated Measures ANOVA Contrasts: What the Models are Telling You

The relationship between the latent growth curve and repeated measures ANOVA models is often misunderstood. Although a number of investigators have looked into the similarities and differences among these models, a cursory reading of the literature can give the impression that they are very different models. Here we show that each model represents a set of contrasts on the occasion means. We demonstrate that the fixed effects parameters of the estimated basis vector latent growth curve model are merely a transformation of the repeated measures ANOVA fixed effects parameters. We further show that differences in fit in models that estimate the same means structure can be due to the different error covariance structures implied by the model. We show these relationships both algebraically and through using data from a simulation.