儿童拒绝敏感性与自我知觉的关系:一项交叉滞后研究

采用儿童拒绝敏感性问卷与儿童自我知觉量表对596名中小学儿童进行了为期一年的追踪调查,通过交叉滞后回归分析考察儿童拒绝敏感性与多种自我知觉间的预测关系。结果发现：（1）自我知觉的年级差异显著,初中儿童的自我知觉水平较低;（2）在两次测量中,拒绝敏感性与多种自我知觉均呈显著的负相关;（3）控制性别、年级以及自身稳定性之后,第一年的多种自我知觉均可以负向预测第二年的拒绝敏感性,而第一年的拒绝敏感性仅可以负向预测第二年的体貌及一般自我知觉;（4）年级调节了拒绝敏感性与一般和行为自我知觉间的纵向关系,并在小学与初中儿童中表现出不同的模式。研究证实自我知觉是儿童拒绝敏感性形成的重要原因之一,为儿童社会认知及心理健康的相关研究提供新的实证依据。     

Creating a qualitative typology of electric vehicle driving: EV journey-making mapped in a chronological framework

‘Range anxiety’ is considered a barrier to market acceptance of electric vehicles (EVs), but perceptions of inadequate recharging infrastructure and limited battery range may be part of a more complex set of consumer concerns; experiences and practices of existing EV drivers – with reference to wider transport and energy systems – need to be understood in greater detail. Qualitative material from semi-structured interviews [n = 88] is used to formulate a chronological Typology of Electric Vehicle Driving which synthesises drivers’ decisions, actions and dynamic considerations before, during and after a journey. The typology outlines and tabulates spatio-temporal elements specific to driving an EV; describes adaptations and compromises in household routines and travel habits; draws out how or when drivers engage with external digital information sources – i.e. smartphone apps, social media – during journey-making; plots their intervention in behavioural changes; and could inform development of infrastructure, tools or services, policy or interventions to support EV uptake.     

The association between team‐level social capital and individual‐level work engagement: Differences between subtypes of social capital and the impact of intra‐team agreement

The study explored the association between team‐level social capital and individual‐level work engagement. Questionnaire data were collected from six companies in the dairy industry. Seven hundred seventy‐two participants divided into 65 teams were included. In confirmatory factor analyses, we found a superior model fit to a four dimensional model of social capital: bonding social capital, bridging social capital and two types of linking social capital. The results showed a positive association between all subtypes of social capital at the team level and work engagement at the individual level. However, this association only remained significant for linking social capital in relation the workplace as a whole when we adjusted for psychosocial working conditions. The level of intra‐team agreement in social capital score did not moderate the association between social capital and work engagement. In conclusion, the results provide further support for previous findings suggesting a positive association between social capital and work engagement. They add to the existing knowledge by suggesting that linking social capital in relation to the workplace is the most important explanatory variable for work engagement, thus emphasizing the need to distinguish between subtypes of social capital in research and practice.     

Production planning of Pakistan Tobacco Company (PTC) using quantitative and multiple‐criteria decision analysis—A case in‐point

The main purpose of this paper is to improve the production planning of Pakistan Tobacco Company by selecting the most preferred brand and subsequently generating maximum profit from it. As the company produces a variety of products, the technique of multi criteria decision making is used to select the most preferred brand. To generate the maximum output from the preferred brand, different methods of qualitative managerial analysis are used, which include decision analysis to decide “why and where” the manufacturing should be carried out, transportation model to minimize the logistics cost while meeting the demand, and linear programming technique to maximize the profit generated in 2014–2015. The result obtained from analytical hierarchy process shows that the most preferred brand of the company with respect to price, quality, and comfort is John Player Gold Leaf. The decision analysis explains that this brand should be manufactured in the Jhelum factory of the company as it is more cost‐effective to produce and there is a high availability of resources. Transportation model minimizes the logistics cost of this brand from the 2 factories while meeting the demand at each provinces, central warehouse. Linear programming contributes in generating a profit of 32.738 billion PKR with an amount of 0.35 million PKR, which is more than that of the current profit of the company in the year. These results will allow the top management of the company to take corrective decisions well in time, gain a core competency in cost reduction, and make the supply chain process more efficient.     

Effects of computer‐based training on procedural modifications to standard functional analyses

Few studies have evaluated methods for training decision‐making when functional analysis data are undifferentiated. The current study evaluated computer‐based training to teach 20 graduate students to arrange functional analysis conditions, analyze functional analysis data, and implement procedural modifications. Participants were exposed to training materials using interactive software during a 1‐day session. Following the training, mean scores on the posttest, novel cases probe, and maintenance probe increased for all participants. These results replicate previous findings during a 1‐day session and include a measure of participant acceptability of the training. Recommendations for future research on computer‐based training and functional analysis are discussed.     

Transitions in sleep problems from late adolescence to young adulthood: A longitudinal analysis of the effects of peer victimization

Adolescence is a developmental period with high vulnerability to sleep problems. However, research identifying distinct patterns and underlying determinants of sleep problems is scarce. This study investigated discrete subgroups of, changes in, and stability of sleep problems. We also examined whether peer victimization influenced sleep problem subgroups and transitions in patterns of sleep problems from late adolescence to young adulthood. Sex differences in the effects of peer victimization were also explored. In total, 1,455 male and 1,399 female adolescents from northern Taiwan participated in this longitudinal study. Latent transition analysis was used to examine changes in patterns of sleep problems and the effects of peer victimization on these changes. We identified three subgroups of sleep problems in males and two in females, and found that there was a certain level of instability in patterns of sleep problems during the study period. For both sexes, those with greater increases in peer victimization over time were more likely to change from being a good sleeper to a poor sleeper. The effects of peer victimization on baseline status of sleep problems, however, was only significant for males, with those exposed to higher levels of peer victimization more likely to be poor sleepers at baseline. Our findings reveal an important role of peer victimization in predicting transitions in patterns of sleep problems. Intervention programs aimed at decreasing peer victimization may help reduce the development and escalation of sleep problems among adolescents, especially in males.

     

Training analysis and training models

This article has the intention of giving impulses to a hopefully more creative and open-minded discussion of the function of training analysis and the kind of training model we seem to take for granted in the Scandinavian countries, the Eitingon model. I will consider some historical background data on this model as well as some historical data on the development in France which have created an alternative model of training. Especially in Sweden, there has been a stormy debate during the last years about the training analyst functions and some members have actually decided to leave our association because of this. I would like to try to shift focus from just a ‘yes-or-no-perspective’? to a broader question of our psychoanalytical society’s purpose and structure and how the training-model could sustain it.     

Comment on Björn Sahlberg’s paper

This paper is a comment on Björn Sahlberg’s paper on the function of training analysis in the Swedish psychoanalytic association and discusses some aspects of the candidates’ personal analysis and supervision. The paper further suggests some possible sources for inspiration and perspective on organizational and educational issues, for example taking an interest in the epistemology of professions, in what the concept of ‘reflection-in-action’ could mean in the training situation, or in empirical research about the educational models and the practice of psychoanalysis.     

Testing Process Factor Analysis Models Using the Parametric Bootstrap

Process factor analysis (PFA) is a latent variable model for intensive longitudinal data. It combines P-technique factor analysis and time series analysis. The goodness-of-fit test in PFA is currently unavailable. In the paper, we propose a parametric bootstrap method for assessing model fit in PFA. We illustrate the test with an empirical data set in which 22 participants rated their effects everyday over a period of 90 days. We also explore Type I error and power of the parametric bootstrap test with simulated data.     

Misspecification in Latent Change Score Models: Consequences for Parameter Estimation,Model Evaluation,and Predicting Change

Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study investigates the robustness of LCS when invariance over time is incorrectly imposed on key change-related parameters. Monte Carlo simulation methods were used to explore the impact of misspecification on parameter estimation, predicted trajectories of change, and model fit in the dual change score model, the foundational LCS. When constraints were incorrectly applied, several parameters, most notably the slope (i.e., constant change) factor mean and autoproportion coefficient, were severely and consistently biased, as were regression paths to the slope factor when external predictors of change were included. Standard fit indices indicated that the misspecified models fit well, partly because mean level trajectories over time were accurately captured. Loosening constraint improved the accuracy of parameter estimates, but estimates were more unstable, and models frequently failed to converge. Results suggest that potentially common sources of misspecification in LCS can produce distorted impressions of developmental processes, and that identifying and rectifying the situation is a challenge.