Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions

Multiple regression quadratic assignment procedures (MRQAP) tests are permutation tests for multiple linear regression model coefficients for data organized in square matrices of relatedness among n objects. Such a data structure is typical in social network studies, where variables indicate some type of relation between a given set of actors. We present a new permutation method (called “double semi-partialing”, or DSP) that complements the family of extant approaches to MRQAP tests. We assess the statistical bias (type I error rate) and statistical power of the set of five methods, including DSP, across a variety of conditions of network autocorrelation, of spuriousness (size of confounder effect), and of skewness in the data. These conditions are explored across three assumed data distributions: normal, gamma, and negative binomial. We find that the Freedman–Lane method and the DSP method are the most robust against a wide array of these conditions. We also find that all five methods perform better if the test statistic is pivotal. Finally, we find limitations of usefulness for MRQAP tests: All tests degrade under simultaneous conditions of extreme skewness and high spuriousness for gamma and negative binomial distributions. Special thanks go to Cajo Ter Braak, Philip Hans Franses, Patrick Houweling, Pierre Legendre, three anonymous reviewers, the associate editor, and the editor for comments.     

体育专业大学生网络心理特点研究

目的:探讨体育专业大学生网络心理的特点。方法:采用自编大学生网络心理问卷,对某省236名体育专业大学生和331名非体育专业大学生的网络心理进行调查和比较。结果:(1)体育专业大学生网络喜好程度显著低于非体育专业大学生。(2)体育专业大学生对网络依恋程度低于非体育专业大学生。(3)体育专业大学生对网络人际交往依赖程度低于非体育专业大学生。(4)体育专业大学生在上网目的性上表现为"学习需要"等,非体育专业大学生上网是为了"寻求自信"等。     

内隐学习的人工神经网络模型

近年来,人工神经网络模型常被用来模拟各种心理活动,从而为心理学的一些相关理论提供丰富的证据,内隐学习也不例外。基于权重调整来学习正确反应的人工神经网络模型和内隐学习的两大本质特征间有着极为相应的匹配,因此,人工神经网络模型特别适用于内隐学习研究。到目前为止,针对两种较为普遍的内隐学习任务,已经相应地出现了两种使用较为广泛的神经网络模型——自动联系者和简单循环网络     

An exploratory analysis of the latent structure of process data via action sequence autoencoders

Computer simulations have become a popular tool for assessing complex skills such as problem-solving. Log files of computer-based items record the human–computer interactive processes for each respondent in full. The response processes are very diverse, noisy, and of non-standard formats. Few generic methods have been developed to exploit the information contained in process data. In this paper we propose a method to extract latent variables from process data. The method utilizes a sequence-to-sequence autoencoder to compress response processes into standard numerical vectors. It does not require prior knowledge of the specific items and human–computer interaction patterns. The proposed method is applied to both simulated and real process data to demonstrate that the resulting latent variables extract useful information from the response processes.     

The Importance of the Default Mode Network in Creativity—A Structural MRI Study

Anecdotal reports as well as behavioral studies have suggested that creative performance benefits from unconscious processes. So far, however, little is known about how creative ideas arise from the brain. In the current study, we aimed to investigate the neural correlates of creativity by means of structural MRI research. Given that unconscious and less controlled processes are important in creative thinking, structural brain research may find a positive correlation between well‐established creativity measures and cortical thickness in brain structures of the default mode network (i.e., the counterpart of the cognitive control network). Individuals performed the Alternative Uses task by which an individual's cognitive flexibility and the average uniqueness and average creativity of a participant's ideas were assessed. We computed optimized voxel‐based‐morphometry (VBM) to explore the correlation between inter‐individual differences in creativity and inter‐individual differences in gray matter volume. For all creativity measures, a positive correlation was found between creative performance and gray matter volume of the default mode network. These findings support the idea that the default mode network is important in creativity, and provide neurostructural support for the idea that unconscious forms of information processing are important in creativity. Theoretical and practical implications are discussed.     

Memory impairment and Benign Epilepsy with centrotemporal spike (BECTS): A growing suspicion

Benign Epilepsy with centrotemporal spikes (BECTS) is considered a benign type of epilepsy; nevertheless a significant number of children present clear and heterogeneous cognitive deficits such as memory disturbances. Thus far, evidence about memory impairment has been less than conclusive. To clarify the quality of memory functioning in BECTS children, an analysis of existing findings has been conducted trying to identify the type of memory deficits and their underlying factors. Short- and long-term declarative memory are impaired in BECTS children, with both verbal and non-verbal material; co-occurrence of attentional, linguistic and behavioral disturbances is reported. In children with continuous spikes and waves during the slow-wave sleep pattern the normal downscaling of slow-wave activity is absent, disrupting plastic brain processes of sleep-related memory consolidation. In BECTS children, NREM sleep interictal epileptiform discharges (IED) may interfere in the dialogue between temporal and frontal cortex, causing declarative memory deficits: the role of NREM sleep IED acquires a special importance, leading to methodological guidance and suggesting aims for future researches in the field of childhood neuroscience.     

The effect of methylphenidate on very low frequency electroencephalography oscillations in adult ADHD

Altered very low-frequency electroencephalographic (VLF-EEG) activity is an endophenotype of ADHD in children and adolescents. We investigated VLF-EEG case-control differences in adult samples and the effects of methylphenidate (MPH). A longitudinal case-control study was conducted examining the effects of MPH on VLF-EEG (.02–0.2 Hz) during a cued continuous performance task. 41 untreated adults with ADHD and 47 controls were assessed, and 21 cases followed up after MPH treatment, with a similar follow-up for 38 controls (mean follow-up = 9.4 months). Cases had enhanced frontal and parietal VLF-EEG and increased omission errors. In the whole sample, increased parietal VLF-EEG correlated with increased omission errors. After controlling for subthreshold comorbid symptoms, VLF-EEG case-control differences and treatment effects remained. Post-treatment, a time by group interaction emerged; VLF-EEG and omission errors reduced to the same level as controls, with decreased inattentive symptoms in cases. Reduced VLF-EEG following MPH treatment provides preliminary evidence that changes in VLF-EEG may relate to MPH treatment effects on ADHD symptoms; and that VLF-EEG may be an intermediate phenotype of ADHD. Further studies of the treatment effect of MPH in larger controlled studies are required to formally evaluate any causal link between MPH, VLF-EEG and ADHD symptoms.     

Who Belongs to Me? Social Relationship and Personality Characteristics in the Transition to Young Adulthood

Not much is known about how social network characteristics change in the transition out of school and what role Big Five personality plays in this context. The aim of this paper was twofold. First, we explored changes in social network and relationship characteristics across the transition out of secondary school. Second, we examined within‐person and between‐person effects of personality on these social network changes. Results based on a series of multilevel models to a longitudinal sample of 2287 young adults revealed four main findings. First, social networks increased in size, and this increase was mainly due to a larger number of nonkin. Stable social networks during the transition consisted mainly of family ties but were generally characterized by high closeness. Second, extraversion and openness consistently predicted network size, whereas agreeableness predicted network overlap. Third, increases in emotional closeness were found only for kin; closeness was generally lower for unstable relationships. Fourth, changes in emotional closeness were related to personality, particularly neuroticism, agreeableness, and conscientiousness for stable relationships; for unstable relationships, however, closeness was related to extraversion and openness. The article concludes by discussing the role of personality for social relationship development and the active moulding of social networks in young adulthood. Copyright © 2014 European Association of Personality Psychology     

School‐based humanistic counselling for psychological distress in young people: A practice research network to address the attrition problem

Aims: School‐based humanistic counselling (SBHC) is a common psychological intervention for young people, particularly in the UK. However, studies have tended to suffer from high attrition rates, such that effects may have been over‐estimated. This paper describes a low budget ‘star topology’ practice research network (PRN) outcome evaluation of SBHC in a sample where attrition rates were minimised. Design: A practice‐based longitudinal study in a small PRN compared levels of psychological distress at first and last session from session‐by‐session data. Multilevel regression modelling was used to identify predictors of outcomes. Methods: Eight counsellors working across 11 schools agreed to use session‐by‐session self‐rating on the Young Person's CORE (YP‐CORE) yielding data from 256 young people aged 11 to 17. Predictors of outcomes were analysed using multilevel regression analysis. Results: Mean levels of distress on the YP‐CORE reduced from 18.29 (SD = 7.32) at baseline to 9.10 (SD = 6.19) at endpoint, giving a baseline to endpoint effect size of 1.26 (95% CI = 1.06–1.46). Lower levels of psychological distress at endpoint were associated with male clients, younger age groups, greater rates of attendance at counselling, and bereavement as a presenting problem. Conclusions: This ‘star topology’ PRN focused on a single study and demonstrated that such a system can provide relatively low cost, high quality data. The data showed that SBHC is associated with large reductions in psychological distress, and that this cannot be attributed to the high attrition rates of previous datasets.