2004至2016年中国大学生身体自尊的变迁:一项横断历史研究

大学生身体自尊是如何随年代变化的呢？研究对2004年至2016年107篇使用身体自尊量表的研究进行了横断历史研究,涉及大学生30738名。结果显示：（1）我国大学生身体自我价值感、运动能力和身体素质与年代有着显著正相关关系;（2）男女大学生身体自尊水平都有了一定提升;（3）男生在身体自尊各个因子的得分高于女生0.2~0.3个标准差,显示出了大学生在身体自尊水平上的性别差异;（4）从大学生整个群体来看,经济因素、高等教育因素与大学生身体自尊具有显著相关,而从不同性别群体来看,经济因素与人口压力对于男大学生的身体自尊影响更为明显。     

Children’s street crossing performance when auditory information about traffic is lacking

PurposeThe current study examined the impact on children’s street crossing behaviors of not having auditory-based information about traffic when crossing streets.MethodUsing a fully-immersive virtual reality system, numerous indices of children’s street crossing behaviors were measured both when they had auditory-based information about traffic and when this was lacking.ResultsThe lack of traffic sounds did not influence the inter-vehicle gap size that children crossed into but it did result in slower initiations and, ultimately, more high-risk outcomes (close calls and hits).ConclusionTraffic sounds significantly contribute to enhance children’s safety when crossing streets. Cars with reduced sounds (e.g., electric) and anything that interferes with children accessing auditory-based traffic information (e.g., wearing headphones) could increase their risk of pedestrian injury.     

Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality

Localisation and navigation of autonomous vehicles (AVs) in static environments are now solved problems, but how to control their interactions with other road users in mixed traffic environments, especially with pedestrians, remains an open question. Recent work has begun to apply game theory to model and control AV-pedestrian interactions as they compete for space on the road whilst trying to avoid collisions. But this game theory model has been developed only in unrealistic lab environments. To improve their realism, this study empirically examines pedestrian behaviour during road crossing in the presence of approaching autonomous vehicles in more realistic virtual reality (VR) environments. The autonomous vehicles are controlled using game theory, and this study seeks to find the best parameters for these controls to produce comfortable interactions for the pedestrians. In a first experiment, participants’ trajectories reveal a more cautious crossing behaviour in VR than in previous laboratory experiments. In two further experiments, a gradient descent approach is used to investigate participants’ preference for AV driving style. The results show that the majority of participants were not expecting the AV to stop in some scenarios, and there was no change in their crossing behaviour in two environments and with different car models suggestive of car and last-mile style vehicles. These results provide some initial estimates for game theoretic parameters needed by future AVs in their pedestrian interactions and more generally show how such parameters can be inferred from virtual reality experiments.     

Safety of micro-mobility: Riders’ psychological factors and risky behaviors of cargo TTWs in China

Cargo two- or three-wheeled vehicles (TTWs), as a new form of micro-mobility, have become a popular mode of urban cargo transportation in China. Cargo TTW riders’ psychological factors and risky behaviors lead to a number of accidents. A questionnaire is designed by comprehensively considering these factors and behaviors of cargo TTW riders that includes eleven risk factors to quantitatively analyze the risky behaviors based on structural equation modeling (SEM). One thousand three hundred nineteen participants reported using cargo TTWs on a questionnaire distributed across the country. The characteristics of riding behavior data are analyzed to verify the three-layer risk theoretical framework of “Psychological factors (Personality traits/specific factors) - Psychological acceptability of risks (confidence/perception/attitude) - Risky behaviors”. The results show that anger has a strong direct effect on riding violations, while normlessness and altruism have a direct effect on riding errors. Workload has a weak but direct effect on risky behaviors, and riding feedback has a weak and mixed effect. In addition, high-risk groups are identified by analysis of variance (ANOVA) with rider population attributes. These quantitative analyses can help guide safety countermeasures to mitigate accidents involving cargo TTWs.     

空间交互研究新视角：多重社会因素的影响

空间交互是人类生存和社交的重要内容, 主要包括语言交流和视角采择两大范畴。对空间交互策略和效率的影响因素的研究, 传统上集中于空间因素, 近年来逐渐开始关注各种社会因素, 包括个体自身的社会认知特质、交互对象的社会属性和空间环境中的社会线索, 并从不同角度提出了理论解释。未来研究应关注社会认知与空间认知的跨领域融合, 考察更加多元的空间交互对象, 最终建立一个整合空间和社会因素的空间交互理论框架。     

Personality pathology severity,cluster type and specific therapeutic interventions in outpatient psychotherapy

We explored the relationship between severity of personality pathology, cluster type and therapeutic interventions (psychodynamic–interpersonal [PI] and cognitive–behavioural [CB]) in 76 outpatients across two early sessions (3rd and 9th) of psychodynamic psychotherapy, while accounting for patients' baseline global symptom severity. Pretreatment personality pathology severity was assessed using the Personality Disorder Index (PDI), where DSM‐IV Axis II PD was assigned a value of 2, subclinical traits and features were assigned a 1 and absence of Axis II psychopathology was assigned a 0. Interrater reliability of personality pathology severity was excellent (ICC [1, 1]: 0.85). Interrater agreement for Cluster A (κ = 0.75), Cluster B (κ = 0.92) and Cluster C (κ = 0.70) was high. Interventions were coded with Comparative Psychotherapy Process Scale (CPPS) from videotapes, and reliability was excellent (CPPS‐PI = 0.86; CPPS‐CB = 0.78). Stepwise linear regressions indicated that therapists' focus on mood shift/topic avoidance (B = 0.29, p = .009) and future events (B = ?0.26, p = .020) predicted Axis II severity. Overall use of PI techniques and Cluster A personality disorder (CLA) were positively correlated (r = .312, p = .006). Stepwise binomial logistic regressions indicated that therapists' focus on uncomfortable feelings (B = 1.915, p = .008) and explaining rationale behind approach (B = 1.276, p =. 038) predicted CLA. All results remained significant when controlling for patients' baseline general symptomatology (Brief Symptom Inventory‐Global Severity Index [BSI‐GSI]), except for the relation between explaining rationale and CLA. Discussion highlights how using psychodynamic treatment model, therapists' focus on patient's in‐session affect expression and explaining rationale behind approach are highly relevant when working with CLA patients.     

解读不显著结果：基于500个实证研究的量化分析

不显著结果(如, p > 0.05)在心理学研究中十分常见, 且容易被误解为接受零假设的证据, 并可能导致分组匹配研究的错误推断或者忽视被小样本的不显著结果掩盖的真实效应。但国内目前尚无实证研究对不显著结果的普遍性及其解读进行调查。本研究调查500篇中文心理学实证研究, 统计其摘要中出现与不显著结果相关的阴性陈述的频率, 判断并统计基于阴性陈述的推断准确性, 并使用贝叶斯因子对不显著结果中包含t值的研究进行重新评估。结果表明, 36%的摘要提及不显著结果, 共包含236个阴性陈述。其中, 41%的阴性陈述对不显著结果的解读出现偏差(如, 解读为支持了零假设)。对包含t值的研究进行贝叶斯因子分析, 结果显示仅有5.1%的不显著结果可以提供强证据支持零假设(BF₀₁ > 10)。与先前对国际心理学期刊的调查结果相比(32%的摘要包含阴性陈述; 72%的阴性陈述对不显著结果的解读错误), 中文心理学期刊中报告不显著结果的比例更高, 且对不显著结果解读错误的比例更低。但国内研究者仍需进一步加强对不显著结果的认识, 推广适于评估不显著结果的统计方法。     

走进大自然：自然体验及其积极效应

自然体验是指个体通过各种感官感知自然或与源于自然界的刺激互动。学者通常使用问卷测量法、自然指标法或实验操纵法来量化操纵人们的自然体验,发现接触自然可以在心理、生理和行为等方面产生积极效应。且这些积极效应会受到物理环境、个体以及社会因素的影响。未来应突破“城市——自然”二元对立思想并加强积极效应的纵深研究;拓展研究群体;促进相关研究成果的实际应用。     

心理因素与学业表现：机器学习分类预测模型

随着高等教育规模的扩大,学业表现不良逐渐成为一个不容忽视的现象,对学业表现不良的学生进行预测并提早给予干预可降低退学率并减少教育资源的损失。由于导致学业表现不良的因素众多且关系复杂,传统的基于相关分析的研究方法很难建立早期预测模型并进行应用。本研究旨在利用机器学习算法,对数据进行挖掘,并建立学业表现预测模型。研究对653名大一新生的心理健康状况、应对方式、人格、内外控倾向和相关人口统计学信息进行了收集,并在一年后采集了其学业成绩,利用随机森林(RF)、K邻近（KNN）、支持向量机（SVM）、决策树（DT）、朴素贝叶斯（NB）等机器学习算法建立了分类模型。结果显示,随机森林算法在识别学业表现不良学生时有最好的表现,其中准确率95.86%, 召回率91.83%,f1分数为93.80%。特征重要性分析显示,前10个对模型有最高贡献度的特征包括：年龄、性别、是否为独生子、内外控倾向、神经质倾向、积极应对倾向、宜人性倾向、一般症状指数、开放性倾向和焦虑水平。为避免过度拟合问题,本研究在一年后收集的166名新生样本中进行了模型验证,结果显示模型在新数据集上有较好的泛化表现,其中f1分数90.90％,准确率92.60％,召回率89.26％。研究提示基于人口统计学和心理测评信息,机器学习算法有助于及早识别学业表现不良学生并为开展早期干预提供启示。     

Comparison of Maternal Perceptions of Preterm and Fullterm Infants

We compared maternal attitudes and feelings in two groups of mother–infant dyads: 25 mothers with preterm newborns (M=30.9 weeks of gestational age) and 25 mothers with fullterm newborns (M=39.7 weeks of gestational age). Both groups were matched for infant sex, age (corrected in preterms) and birth order as well as for maternal age and education. Semi-structured interviews were used to collect data on maternal attitudes and feelings about pregnancy and the first contacts with the newborn. Mothers completed rating scales to indicate the specific behavioural problems they perceived in their infants at 6 weeks and 3 months of (corrected) age. Observations of infant responses to visual and/or auditory stimuli were made at 6 weeks and 3 months in a laboratory setting. At 3 months, each infant was administered the Bayley Scale of Mental Development. There were no differences in maternal attitudes and feelings between the two groups of mothers prior to the birth. However, significant differences appeared after birth and indicated increased anxiety in mothers of preterm infants. Significantly more 6-week-old preterm infants were perceived by their mothers as irritable and to cry more than fullterm infants. At the age of 3 months, both groups of infants differed only in terms of irritability. Differences between the two groups of mother–infant dyads, age-related changes in these differences and relationships between maternal evaluations and the laboratory-based assessments are discussed in the context of contrasts in the stability of behavioural regulation in preterm and fullterm infants.