Support gaps in parent‐emerging adult dyads: The role of support quality

This study used a support gap approach to examine parental support to college‐going emerging adults. Based on data from 156 parent–child dyads, this study investigated whether discrepancies between the amounts of support that children received from parents and what they desired would be associated with both persons’ perceived support quality and individual and relational well‐being. Using polynomial regressions with response surface modeling, analyses demonstrated that, generally, support deficits (i.e., receiving less support than desired) were associated with poorer outcomes. However, support surpluses (i.e., receiving more support than desired) were not necessarily problematic, and children and parents exhibited different viewpoints regarding support surpluses. In addition, child‐reported support quality mediated several associations between support gaps and relationship satisfaction reported by both persons.     

Linking property crime using offender crime scene behaviour: A comparison of methods

This study compared the ability of seven statistical models to distinguish between linked and unlinked crimes. The seven models utilised geographical, temporal, and modus operandi information relating to residential burglaries (n = 180), commercial robberies, (n = 118), and car thefts (n = 376). Model performance was assessed using receiver operating characteristic analysis and by examining the success with which the seven models could successfully prioritise linked over unlinked crimes. The regression‐based and probabilistic models achieved comparable accuracy and were generally more accurate than the tree‐based models tested in this study. The Logistic algorithm achieved the highest area under the curve (AUC) for residential burglary (AUC = 0.903) and commercial robbery (AUC = 0.830) and the SimpleLogistic algorithm achieving the highest for car theft (AUC = 0.820). The findings also indicated that discrimination accuracy is maximised (in some situations) if behavioural domains are utilised rather than individual crime scene behaviours and that the AUC should not be used as the sole measure of accuracy in behavioural crime linkage research.     

FROM EXTENSION TO REVOLUTIONARY CHANGE IN CLINICAL PSYCHOANALYSIS: THE RADICAL INFLUENCE OF BION AND WINNICOTT

This paper addresses the radical departure of late Bion's and Winnicott's clinical ideas and practices from traditional psychoanalytic work, introducing a revolutionary change in clinical psychoanalysis. The profound significance and implications of their thinking are explored, and in particular Bion's conception of transformation in O and Winnicott's clinical‐technical revision of analytic work, with its emphasis on regression in the treatment of more disturbed patients. The author specifically connects the unknown and unknowable emotional reality‐O with unthinkable breakdown (Winnicott) and catastrophe (Bion). The author suggests that the revolutionary approach introduced by the clinical thinking of late Bion and Winnicott be termed quantum psychoanalysis. She thinks that this approach can coexist with classical psychoanalysis in the same way that classical physics coexists with quantum physics.     

青少年友谊关系质量与社交焦虑的相互影响:一项交叉滞后分析

采用问卷法和追踪设计,通过交叉滞后回归分析,考察初中三年期间698名青少年的友谊关系质量与社交焦虑的相互影响及其动态变化。结果发现,初二到初三期间,青少年友谊关系质量的喜爱-满意维度显著负向预测社交焦虑;初中三年期间,青少年社交焦虑显著负向预测友谊关系质量的喜爱-满意维度;但友谊关系质量的冲突维度与社交焦虑的相互预测作用不显著。这些结果表明,青少年友谊关系的喜爱-满意维度与其社交焦虑之间存在相互影响,而且该相互作用存在一定程度的动态变化。     

《黄帝内经》阴阳二十五人分型的数学建模

目的:应用数学建模的方法探索<黄帝内经>阴阳二十五人分型的相应关系.方法:根据<黄帝内经>理论对阴阳(X1)、五行(X2)、五音(X3)和阴阳二十五人健康状态(Y)进行量化,通过SAS循环程序进行数据模拟,建立多元回归模型.结果:多元线性回归方程为Y=7452.24162+625 X1+25X2+0.09832X3.结论:方程揭示了阴阳、五行和五音与阴阳二十五人健康状态的理论关系,为进一步求证阴阳、五行、五音与健康的关系提供了一个数学模型.     

社会支持的调节作用研究

为了考察社会支持在人格特征和心理健康水平之间的调节作用,利用症状自评量表、社会支持评定量表和艾森克人格问卷简式量表对1102名大学生进行施测。层级回归分析的结果不仅支持了社会支持的调节作用,而且表明社会支持与个体的心理健康水平之间存在三种不同的关系形式,即(1)社会支持的主效应显著,但是调节效应不显著;(2)社会支持的主效应和调节效应同时显著;(3)社会支持的主效应不显著,但是调节效应显著。     

数学应用题中语言成分模型的构建—— 多元随机效应项目反应理论模型的运用

数学应用题中的语言成分可能对被试问题解决过程产生复杂影响。通常, 这种影响对所有被试并非完全一致, 而是具体数学题目特征与特定被试的认知特性之间交互作用的结果。本研究采用多元随机效应项目反应理论模型的建模方法, 分析了数学应用题中语言成分对问题解决过程的影响。该方法的优势在于它不仅分析了语言成分对数学问题解决过程的平均效应, 同时给出了相应的随机效应, 揭示了相应成分对不同个体问题解决过程的具体影响程度。结果表明, 较难的项目倾向于单词更多, 命题密度更高, 要求对图/表信息进行编码和转译, 或者根据问题表述生成数学公式。项目命题密度影响效应存在着显著的个别差异。项目命题密度对能力较低的被试的影响高于对能力较高的被试的影响。     

单病种平均住院日影响因素分析

为探讨单病种平均住院日的影响因素,采用多元逐步回归分析,对住院构成前5位病种的平均住院日影响因素进行分析。结果显示,有10个影响因素进入回归方程,不同病种平均住院日影响因素略有不同,是否转科对平均住院日影响最大。在医院管理过程中,需不断加强医院流程管理与改造,实施临床路径,合理制定医院平均住院日指标。     

Brazelton Neonatal Behavioral Assessment Scale: A psychometric study in a Portuguese sample

BackgroundThe Neonatal Behavioral Assessment Scale (NBAS, Brazelton &; Nugent, 1995) is an instrument conceived to observe the neonatal neurobehavior. Data analysis is usually performed by organizing items into groups. The most widely used data reduction for the NBAS was developed by Lester, Als, and Brazelton (1982).ObjectiveExamine the psychometric properties of the NBAS items in a sample of 213 Portuguese infants.MethodThe NBAS was performed in the first week of infant life (3 days ± 2) and in the seventh week of life (52 days ± 5).ResultsPrincipal component analyses yielded a solution of four components explaining 55.13% of total variance. Construct validity was supported by better neurobehavioral performance of 7-week-old infants compared with 1-week-old infants.ConclusionChanges in the NBAS structure for the Portuguese sample are suggested compared to Lester factors in order to reach better internal consistency of the scale.