Accessing the multitude within: A psychoanalytic perspective on the transformation of masculinity at mid‐life1

This paper reflects upon the essential components of male identity that commonly are reworked in middle age. The author argues that healthy masculine gender identity involves an ongoing, plastic process of destabilization and reconstruction at various pivotal developmental stages, particularly during middle adulthood. In essence, a man's mature transformation of his sense of masculinity results when finite concepts of gender identity are superseded by an awareness of the complexity of one's multiple, early and diverse gender identifications. A clinical case provides insight into how psychoanalytic treatment can contribute to a new experience of masculinity. The case illustrates how a maturing man, meeting an altered sense of identity in mid‐life, relies less on gender splitting and more on reuniting previously antithetical intrapsychic elements. Why this more pluralistic, polythreaded masculinity frequently must wait until mid‐life is further clarified. Specific importance is attached to the early development of male gender identity as it is founded on the boy's unique struggles in separating from his mother. The foundation for male gender identity formation is reconsidered as the author questions the ‘dis‐identification’ model while explicating how the boy's striving for narcissistic completion shapes the gendered masculine ego ideal. Classically termed ‘phallicism’ is understood both to facilitate and obstruct a man's adult development, while the concept of ‘genitality’ is augmented by the postclassical notion of ‘interiority’. At mid‐life, ‘phallic’ ego ideals (resting on omnipotence, desires for narcissistic completion and gender splitting) are transformed into more realistic, ‘genital’ ego ideals (synthesizing autonomy and connection). The achievement of a mature, less sharply gendered ‘masculine’ ego ideal (revitalizing the foreclosed dimensions of both the early maternal and paternal imagos) occurs as the balance of forces shifts in the direction of true genitality rather than defensive phallicism.     

Individual differences in trajectories of arithmetical development in typically achieving 5- to 7-year-olds

The arithmetical performance of typically achieving 5- to 7-year-olds (N = 29) was measured at four 6-month intervals. The same seven tasks were used at each time point: exact calculation, story problems, approximate arithmetic, place value, calculation principles, forced retrieval, and written problems. Although group analysis showed mostly linear growth over the 18-month period, analysis of individual differences revealed a much more complex picture. Some children exhibited marked variation in performance across the seven tasks, including evidence of difficulty in some cases. Individual growth patterns also showed differences in developmental trajectories between children on each task and within children across tasks. The findings support the idea of the componential nature of arithmetical ability and underscore the need for further longitudinal research on typically achieving children and of careful consideration of individual differences.     

Why the brain needs language in order to be self-conscious

It has been argued that natural language, in the form of inner speech, plays a central role in self-consciousness. However, it is not quite clear why. In this paper, we present a novel answer to the why question. According to the thesis presented in this paper, the brain as a physical system is limited in observing itself and relies on the mediation of natural language for the reconstruction of its phase space trajectory. Drawing on knowledge gathered on the measurement of dynamical systems, we detail the unique properties of natural language that may support this reconstruction.     

Methodological Challenges in Causal Research on Racial and Ethnic Patterns of Cognitive Trajectories: Measurement, Selection, and Bias

Research focused on understanding how and why cognitive trajectories differ across racial and ethnic groups can be compromised by several possible methodological challenges. These difficulties are especially relevant in research on racial and ethnic disparities and neuropsychological outcomes because of the particular influence of selection and measurement in these contexts. In this article, we review the counterfactual framework for thinking about causal effects versus statistical associations. We emphasize that causal inferences are key to predicting the likely consequences of possible interventions, for example in clinical settings. We summarize a number of common biases that can obscure causal relationships, including confounding, measurement ceilings/floors, baseline adjustment bias, practice or retest effects, differential measurement error, conditioning on common effects in direct and indirect effects decompositions, and differential survival. For each, we describe how to recognize when such biases may be relevant and some possible analytic or design approaches to remediating these biases.     

Regularized Finite Mixture Models for Probability Trajectories

Finite mixture models are widely used in the analysis of growth trajectory data to discover subgroups of individuals exhibiting similar patterns of behavior over time. In practice, trajectories are usually modeled as polynomials, which may fail to capture important features of the longitudinal pattern. Focusing on dichotomous response measures, we propose a likelihood penalization approach for parameter estimation that is able to capture a variety of nonlinear class mean trajectory shapes with higher precision than maximum likelihood estimates. We show how parameter estimation and inference for whether trajectories are time-invariant, linear time-varying, or nonlinear time-varying can be carried out for such models. To illustrate the method, we use simulation studies and data from a long-term longitudinal study of children at high risk for substance abuse. This work was supported in part by NIAAA grants R37 AA07065 and R01 AA12217 to RAZ.     

词汇习得年龄效应的研究进展

近年来的大量研究表明,词汇习得的年龄是影响词汇加工的一个重要因素。本文首先阐述了词汇习得年龄效应产生的可能机制,包括语音完整性假设、累计频率假设、任意映射假设和语义假设,然后介绍近年来研究的最新动向,并提出了需要进一步研究的问题。     

亲子和同伴依恋对初中生心理素质发展的影响:个人中心分析视角

本研究旨在考察初中生心理素质的发展轨迹以及亲子和同伴依恋对其的影响。三所中学的442名初一学生和501名初二学生参加了三轮追踪调查,初测平均年龄M =12.83,SD =0.74。结果发现,初一学生,心理素质发展轨迹可分为中-降组（79%）和高-升组（21%）两个亚群组;且初一上父子依恋或母子依恋水平越高,心理素质发展轨迹为高-升组的概率大于中-降组。初二学生,心理素质发展轨迹可分为低-稳组（84%）和高-升组（16%）两个亚群组;且初二上父子依恋水平越高,心理素质发展轨迹为高-升组的概率大于低-稳组。结果表明初中生心理素质发展轨迹可以分为不同的亚群组类型,父子依恋和母子依恋对初中生心理素质发展有积极作用,这些发现对于初中生心理素质的培养具有一定的指导意义。     

多变量追踪研究的模型整合与拓展：考察往复式影响与增长趋势

追踪研究当中, 交叉滞后模型可以探究多变量之间往复式影响, 潜增长模型可以探究个体增长趋势。对两类模型进行整合, 例如同时关注往复式影响与个体增长趋势, 同时可以定义测量误差、随机截距等变异成分, 衍生出随机截距交叉滞后模型、特质-状态-误差模型、自回归潜增长模型、结构化残差潜增长模型等。以交叉滞后模型和潜增长模型分别作为基础模型, 从个体间/个体内变异分解的角度对上述各类模型梳理, 整合出此类模型的分析框架, 并拓展建立“因子结构化潜增长模型(factor latent curve model with structured reciprocals)”作为统合框架。通过实证研究(早期儿童的追踪研究-幼儿园版, ECLS-K), 建立21049名儿童的阅读和数学能力的往复式影响与增长趋势。研究发现, 分离了稳定特质的模型拟合最优。研究也对模型建模思路和模型选择提供了建议。     

Fine motor skill proficiency in typically developing children: On or off the maturation track?

Fine motor skill proficiency is an essential component of numerous daily living activities such as dressing, feeding or playing. Poor fine motor skills can lead to difficulties in academic achievement, increased anxiety and poor self-esteem. Recent findings have shown that children’s gross motor skill proficiency tends to fall below established developmental norms. A question remains: do fine motor skill proficiency levels also fall below developmental norms? The aim of this study was to examine the current level of fine motor skill in Irish children. Children (N = 253) from 2nd, 4th and 6th grades (mean age = 7.12, 9.11 and 11.02 respectively) completed the Fine Motor Composite of the Bruininks Oseretsky Test of Motor Proficiency 2nd Edition (BOT-2). Analysis revealed that only 2nd grade children met the expected level of fine motor skill proficiency. It was also found that despite children’s raw scores improving with age, children’s fine motor skill proficiency was not progressing at the expected rate given by normative data. This leads us to question the role and impact of modern society on fine motor skills development over the past number of decades.