Personality organization defined by DMT and the Structural Interview

The psychoanalytic concept of Personality Organization (PO) may be operationalized by means of a Structural Interview as well as by means of psychological tests. The present study utilized the Structural Interview and a projective test called the Defence Mechanism Test (DMT) to operationalize the PO concept on a sample of 50 psychiatric inpatients. The reliability of the PO judgements were found to be acceptable for both the Structural Interview and the DMT. The validity, which was estimated as the correlation between the two methods, was also found to be substantial. The conclusion is that the concept of PO may be reliably operationalized for psychiatric patients and seems to have concurrent validity. Both the DMT and the Structural Interview may be used for differential diagnosis of PO.     

汉字阅读的语义神经回路及其与语音回路的协作机制

从神经网络的角度研究词汇阅读的大脑神经机制, 需要揭示语义和语音神经回路的动态协作机制, 而语义加工神经回路是探讨该问题的一个亟待解决的瓶颈问题。利用汉字表义的独特性, 以形旁语义作用的神经机制为切入点, 计划开展的4个fMRI实验拟探讨汉字阅读的语义神经回路及其与语音回路的动态协作机制。实验1利用多参数相关分析技术, 识别与汉字语义和语音属性相关的功能脑区; 实验2和实验3集中考察形旁语义加工的大脑神经机制, 深入探讨形旁语义作用的实质, 揭示汉字阅读中语义加工的神经回路; 实验4通过建构汉字阅读的动态因果模型, 考察在刺激驱动和任务调节下, 阅读相关脑区联结模式的动态变化, 阐明语义和语音神经回路的相互协作机制。研究结果将从跨语言的角度, 阐明阅读神经网络的内部动态机制, 为联结主义理论提供神经生理方面的直接证据; 并为基于脑科学的教育教学和阅读障碍矫治等实践应用提供理论依据。     

Speech-associated gestures, Broca’s area, and the human mirror system

Speech-associated gestures are hand and arm movements that not only convey semantic information to listeners but are themselves actions. Broca’s area has been assumed to play an important role both in semantic retrieval or selection (as part of a language comprehension system) and in action recognition (as part of a “mirror” or “observation–execution matching” system). We asked whether the role that Broca’s area plays in processing speech-associated gestures is consistent with the semantic retrieval/selection account (predicting relatively weak interactions between Broca’s area and other cortical areas because the meaningful information that speech-associated gestures convey reduces semantic ambiguity and thus reduces the need for semantic retrieval/selection) or the action recognition account (predicting strong interactions between Broca’s area and other cortical areas because speech-associated gestures are goal-direct actions that are “mirrored”). We compared the functional connectivity of Broca’s area with other cortical areas when participants listened to stories while watching meaningful speech-associated gestures, speech-irrelevant self-grooming hand movements, or no hand movements. A network analysis of neuroimaging data showed that interactions involving Broca’s area and other cortical areas were weakest when spoken language was accompanied by meaningful speech-associated gestures, and strongest when spoken language was accompanied by self-grooming hand movements or by no hand movements at all. Results are discussed with respect to the role that the human mirror system plays in processing speech-associated movements.     

Investigating the relationship of working memory tasks and fluid intelligence tests by means of the fixed-links model in considering the impurity problem

The impurity of measures is considered as cause of erroneous interpretations of observed relationships. This paper concentrates on impurity with respect to the relationship between working memory and fluid intelligence. The means for the identification of impurity was the fixed-links model, which enabled the decomposition of variance into experimental and non-experimental parts. A substantial non-experimental part could be expected to signify impurity. In a sample of 345 participants error scores and reaction times, which were obtained by the Exchange Test, represented working memory, and Advanced Progressive Matrices served as measure of fluid intelligence. The four independent latent variables of the model associated with error scores and reaction times led to a multiple correlation .67 with the latent variable of fluid intelligence. However, there was impurity since the decomposition by means of the fixed-links model showed that only 45% of the common variance was due to working memory.     

Estimating true short-term consistency in vocational interests: A longitudinal SEM approach

This study aimed at estimating the correlation between true scores (true consistency) of vocational interest over a short time span in a sample of 1089 adults. Participants were administered 54 items assessing vocational, family, and leisure interests twice over a 1-month period. Responses were analyzed with a multitrait (MT) model, which supposes no temporal change, and a latent change (LC) model with temporally stable method effects. The LC model fitted the data well in 75% of cases whereas the MT never held. Error measurement is not sufficient in explaining the imperfect test-retest manifest correlations. True consistency estimates were very high with an average of .87, suggesting that although true temporal change occurs even within short periods its magnitude is rather limited.     

Change and stability of sense of coherence in adulthood: Longitudinal evidence from the Healthy Child study

The main aim of this three-wave 35-year follow-up study among Finnish employees (n = 532) was to investigate whether Sense of Coherence (SOC) is more stable among those with high SOC compared to those with low SOC, as hypothesized by Antonovsky [Antonovsky, A. (1987). Unraveling the mystery of health: how people manage stress and stay well. San Francisco, CA, US: Jossey-Bass], using two measurement points over 13 years. The participants were first studied in adolescence in 1961–1963, after which they responded to two postal questionnaires measuring SOC, first in 1985, and again in 1998. The results of the Factor Mixture Modeling identified two groups of individuals with different levels and mean changes of SOC: high-SOC (n = 344) and low-SOC (n = 188) individuals. The results supported Antonovsky’s hypothesis: SOC was more stable among high-SOC individuals (stability coefficient 0.57) than among low-SOC individuals (0.31). The results further supported the factor structure of the 11-item SOC scale. However, out of the five generalized resistance resources investigated in adolescence, only the level of home care was associated with SOC in adulthood.     

Examining human attitudes toward shared mobility options and autonomous vehicles

This paper presents a comprehensive analysis of people’s attitudes toward shared mobility options and autonomous vehicles (AVs), with a focus on the underlying patterns and potential determinants. A stated preference (SP) survey was designed and implemented in the U.S. Four sets of questions were included in the questionnaire, each focused on one unique aspect of user attitudes, including a) preferences for mobility options and lifestyle (such as overall view of driving, factors in mode choice decisions and technology engagement), b) perceived benefits and concerns of shared mobility option, c) reasons toward or against private vehicle ownership, and d) motivations for and desired features of AVs. A structural equations model was developed to identify latent attitudinal factors and examine the correlations between the latent attitudes (as the endogenous variables) and the observed covariates (including the socio-economic and demographic characteristics, and users’ current mobility profile, such as mode use frequency, travel distance, and trip fare). The model identified eleven latent factors that represent various aspects of attitudes toward AVs and shared mobility options. The findings could be used by policymakers and Transportation Network Companies (TNCs) to a) recognize the users’ latent attitudes, b) understand the underlying patterns of attitudes, c) implement plans and policies more efficiently, d) guide or influence users’ perceptions, and e) enhance travel behavior models. This study lays the foundation for further analysis on understanding user acceptance and adoption of these emerging mobility options, which is essential to estimate the likelihood and magnitude of behavior shifts in the era of automated, connected and shared mobility.     

Overall performance impairment and crash risk due to distracted driving: A comprehensive analysis using structural equation modelling

Distracted driving leads to performance changes in both longitudinal and lateral control. However, driving performance, being a multidimensional phenomenon, is very difficult to be interpreted from individual performance measures. The present study aimed to exhibit the distraction impacts on overall driving performance estimated by a single measure rather than assessing distraction effects on individual performance metrics such as speed, acceleration, lateral variation, etc. The study also focused on modelling and quantifying the impacts of overall deteriorated driving performance on crash risk. To achieve the objectives, a comparative analysis of investigating phone and music player usage was conducted using Structural Equation Modelling (SEM). In total, 90 drivers’ demographic details and driving performance data in distracted and non-distracted driving environments were collected. Firstly, the latent variable “performance degradation” was derived from longitudinal and lateral performance measures. Then the structural model revealed a positive relationship between the distractions and the overall performance degradation. Finally, the crash risk was modelled against the presence of distraction and performance degradation. With a factor loading of 0.29, the impact of deteriorated driving performance (i.e., indirect impact) was found to be the highest among all the contributory factors of the crash risk. Further, the results showed that among the distractions (i.e., direct impact), texting had the highest impact (factor loading = 0.28) on crash risk followed by visual-manual tasks related to music player (factor loading = 0.21). Thus, the present study quantified the effects of deteriorated driving performance caused by distracted driving on the crash risk. Further, the study also presented quantified effects of each distracting activity on the crash risk which accounted for the factors that could not be considered through the performance degradation measure. The approach used in the present study can be adopted in designing the countermeasures using advanced driver warning systems.     

Why Do White Americans Oppose Race‐Targeted Policies? Clarifying the Impact of Symbolic Racism

Measures of symbolic racism (SR) have often been used to tap racial prejudice toward Blacks. However, given the wording of questions used for this purpose, some of the apparent effects on attitudes toward policies to help Blacks may instead be due to political conservatism, attitudes toward government, and/or attitudes toward redistributive government policies in general. Using data from national probability sample surveys and an experiment, we explored whether SR has effects even when controlling for these potential confounds and whether its effects are specific to policies involving Blacks. Holding constant conservatism and attitudes toward limited government, SR predicted Whites' opposition to policies designed to help Blacks and more weakly predicted attitudes toward social programs whose beneficiaries were racially ambiguous. An experimental manipulation of policy beneficiaries revealed that SR predicted policy attitudes when Blacks were the beneficiary but not when women were. These findings are consistent with the claim that SR's association with racial policy preferences is not due to these confounds.