Smartphone use and daily cognitive failures: A critical examination using a daily diary approach with objective smartphone measures

While smartphones have brought many benefits and conveniences to users, there is continuing debate regarding their potential negative consequences on everyday cognition such as daily cognitive failures. A few cross-sectional studies have found positive associations between smartphone use and cognitive failures. However, several research gaps remain, such as the use of cross-sectional designs, confounds related to stable individual differences, the lack of validity in self-report measures of smartphone use, memory biases in retrospective self-reports, and the lack of differentiation between smartphone checking and smartphone screen time. To simultaneously address the aforementioned shortcomings, the current study examined the within-person associations between various objective indicators of smartphone use and daily cognitive failures using a 7-day daily diary study. Multilevel modelling revealed that smartphone checking, but not total smartphone screen time, predicted a greater occurrence of daily cognitive failures at the within-person level. Surprisingly, we also found negative within-person associations between smartphone screen time for social- and tools-related applications and daily cognitive failures, suggesting that some types of smartphone use may temporarily benefit one's cognitive functioning. This finding demonstrates the importance of studying the specific functions of smartphone use and their differential cognitive consequences, as well as highlights the complex relations between smartphone use and cognition.     

An exploratory investigation of the reliability and validity of the Independent-Interdependent Problem-Solving Style Scale

The Independent-Interdependent Problem-Solving Scale is based on Cross et al.'s conceptualisation of relational-interdependent self-construal. The IIPSS provides a relatively context-free measure of people's tendencies to solve problems independently or with the help of others. Because previous investigations have not provided extensive evidence for the reliability and validity of the IIPSS, the current research aimed to test the psychometric properties of this novel measure. Investigations of four student samples (combined N = 1157) and one sample comprised of academic researchers (N = 198) generally supported the reliability and validity of the IIPSS. Exploratory factor analysis of IIPSS items yielded a single factor structure. However, confirmatory factor analyses did not demonstrate good model fit for the one factor solution and instead yielded good model fit for two underlying factors. The IIPSS showed adequate test–retest reliability and predicted positive associations with social personality traits. It also showed no significant associations with measures of demand characteristics and social desirability. Future research needs to be undertaken to further assess the factor structure and address shortcomings of the present research such as utilising objective data in addition to self-reports to assess the scale's validity.     

Stepwise variable selection in factor analysis

It is very important to choose appropriate variables to be analyzed in multivariate analysis when there are many observed variables such as those in a questionnaire. What is actually done in scale construction with factor analysis is nothing but variable selection.In this paper, we take several goodness-of-fit statistics as measures of variable selection and develop backward elimination and forward selection procedures in exploratory factor analysis. Once factor analysis is done for a certain numberp of observed variables (thep-variable model is labeled the current model), simple formulas for predicted fit measures such as chi-square, GFI, CFI, IFI and RMSEA, developed in the field of the structural equation modeling, are provided for all models obtained by adding an external variable (so that the number of variables isp + 1) and for those by deleting an internal variable (so that the number isp – 1), provided that the number of factors is held constant.A programSEFA (Stepwise variable selection in Exploratory Factor Analysis) is developed to actually obtain a list of the fit measures for all such models. The list is very useful in determining which variable should be dropped from the current model to improve the fit of the current model. It is also useful in finding a suitable variable that may be added to the current model. A model with more appropriate variables makes more stable inference in general.The criteria traditionally often used for variable selection is magnitude of communalities. This criteria gives a different choice of variables and does not improve fit of the model in most cases.The URL of the programSEFA is http://koko15.hus.osaka-u.ac.jp/~harada/factor/stepwise/.     

Time and Singular Causation—A Computational Model

Causal queries about singular cases, which inquire whether specific events were causally connected, are prevalent in daily life and important in professional disciplines such as the law, medicine, or engineering. Because causal links cannot be directly observed, singular causation judgments require an assessment of whether a co-occurrence of two events c and e was causal or simply coincidental. How can this decision be made? Building on previous work by Cheng and Novick (2005) and Stephan and Waldmann (2018), we propose a computational model that combines information about the causal strengths of the potential causes with information about their temporal relations to derive answers to singular causation queries. The relative causal strengths of the potential cause factors are relevant because weak causes are more likely to fail to generate effects than strong causes. But even a strong cause factor does not necessarily need to be causal in a singular case because it could have been preempted by an alternative cause. We here show how information about causal strength and about two different temporal parameters, the potential causes' onset times and their causal latencies, can be formalized and integrated into a computational account of singular causation. Four experiments are presented in which we tested the validity of the model. The results showed that people integrate the different types of information as predicted by the new model.     

Should we pass on minimum passing distance laws for cyclists? Comparing a tactical enforcement option and minimum passing distance laws using signal detection theory

Legislation mandating minimum distances for motorists passing cyclists is seen by advocates as a straightforward way to increase the perceived safety of cycling and thus remove a prominent barrier to the uptake of cycling. The evidence, however, is not as clear. The alternative to compliance-based enforcement via Minimum Passing Distance Laws (MPDLs) is performance-based enforcement as recently highlighted by UK Police forces under the name ‘Operation Close Pass’. This existing legislation and enforcement method relies on police officer judgement and discretion. For a MPDL to be introduced it has to show an improvement by identifying more manoeuvres that make cyclists feel unsafe, whilst at the same time not penalising drivers for manoeuvres that are benign. This study uses Signal Detection Theory to show that on almost every measure the current performance-based enforcement is preferable. Officer discretion is aligned more closely to cyclists’ real-world perceptions of risk than an objective, compliance-based MPDL. Any level of enforcement harshness can be achieved equally well, if not better, through officer discretion than through a fixed passing distance law, with the former being significantly easier to adjust if needed. Further discussion about the unintended effects of passing distance laws is discussed, such as the risk of a net loss to the effectiveness of cyclist safety because it is more difficult to prosecute and enforce manoeuvres which make cyclists feel unsafe than the performance-based alternative.     

青少年时间管理倾向量表的编制

时间管理倾向是个体在运用时间方式上所表现出来的心理和行为特征,具有多维度多层次的心理结构。参照有关文献并结合国内的广泛调查研究,编制出我国青少年时间管理倾向量表。通过对1027名大中学生的探索性因素分析和507名大中学生的验证性因素分析,结果表明时间管理倾向问卷由时间价值感(社会取向和个人取向的时间价值感)、时间监控观(设置目标、计划、优先级、时间分配和反馈性)和时间效能感(时间管理效能和时间管理行为效能)三个维度构成。该量表的因素结构清晰,信度和效度较好,可以作为评鉴青少年时间管理倾向的有效工具。     

Passage,Becoming and the Nature of Temporal Reality

I first distinguish several notions that have traditionally been conflated (or otherwise neglected) in discussions of the metaphysics of time. Thus, for example, I distinguish between the passage of time and temporal becoming. The former is, I maintain, a confused notion that does not represent a feature of the world; whereas a proper understanding of the latter provides the key for a plausible and comprehensive account of the nature of temporal reality. There are two general classes of views of the nature of temporal reality; proponents of particular views in both classes attempt to account for the phenomenon of temporal becoming in terms of qualitative change. I argue that any such account – in terms of change – is irredeemably problematic. And so I propound a different account of temporal becoming, based on the notion that temporal reality is transient, which provides the means to characterize intuitively and vividly the significant effects of time on the metaphysical nature of the world.

Procrastination: Different time orientations reflect different motives

Because procrastination concerns a person’s ability to meet deadlines, temporal dimension is clearly important to this personality construct. In the present study, the characteristic profile of arousal and avoidant motives of procrastinators were related to past, present, and future time conceptions. Participants (140 women, 135 men; mean age = 49.4, SD = 5.55) completed measures of arousal and avoidance procrastination, and time orientation. Results indicated that avoidant procrastination was associated negatively with present-fatalistic time orientation, and arousal procrastination was associated positively with present-hedonist and negatively with future time orientations. The variance accounted for by time orientations was modest, yet provides further evidence that there are distinct motives for chronic procrastination.     

欺负行为测量:问题及解决

近20年来,各国心理学家就欺负问题做了大量的研究工作。本文主要分析了欺负行为研究中对欺负行为的评价和测量上存在的局限以及相应的改进策略。目前欺负行为评价中的问题主要有：对欺负定义的理解和界定不一致;对欺负的评价角度不一致;测量工具在适用年龄上缺乏连续性;测量方法存在单一性;测量时间取样不明确等。针对上述问题,本研究提出了操作性定义的界定基础、研究工具的开发方向、测量方法的选取技巧和数据分组的原则等来提高对校园欺负行为研究的科学性。     

How time flies: a study of novice skydivers

Although time distortion is commonly reported during a traumatic experience, there is little research addressing the phenomenon. This study investigated the role of affect in time perception in a very stressful experience by indexing novice tandem skydivers' (N=76) levels of fear and excitement before the skydive and soon after landing. Estimations of how long skydivers thought their experience lasted were obtained after landing. Whereas increased fear was associated with the perception of time passing slowly, increased excitement was associated with the perception of time passing quickly. These data support models of time perception based on avoidance and approach motivations influencing time distortion.