Values and happiness among Asian adolescents: a cross-national study

Despite policy efforts to increase adolescent happiness, their impact has been unsatisfactory. Their limited impact may be rooted from a discrepancy between values that adolescents pursued and those that the policies were based on. To provide policy implications, our study aims to identify prevailing values for South Korean, Japanese, and Chinese adolescents and to examine the relationship between the values and self-rated happiness (SRH). A cross-sectional study was conducted using survey data collected on approximately 2000 middle and high school students (7th to 12th school grade) from each country in 2008. Firstly, an explanatory factor analysis was conducted to identify salient adolescent values from each country. Subsequently, a multiple logistic regression analysis was conducted for each population group to examine the relationship between the identified values and adolescent SRH after controlling for sociodemographic characteristics. We found that benevolence and altruism were positively associated with adolescent SRH in all three population groups. Patriarchy was associated with SRH positively in Chinese yet inversely in Japanese. Success pursuit was inversely associated with SRH in Korean. Policy efforts based on values of communities or social harmony may benefit adolescents’ SRH in these three countries.     

Model selection for factor analysis: Some new criteria and performance comparisons

This paper derives Akaike information criterion (AIC), corrected AIC, the Bayesian information criterion (BIC) and Hannan and Quinn’s information criterion for approximate factor models assuming a large number of cross-sectional observations and studies the consistency properties of these information criteria. It also reports extensive simulation results comparing the performance of the extant and new procedures for the selection of the number of factors. The simulation results show the di?culty of determining which criterion performs best. In practice, it is advisable to consider several criteria at the same time, especially Hannan and Quinn’s information criterion, Bai and Ng’s IC_p2 and BIC₃, and Onatski’s and Ahn and Horenstein’s eigenvalue-based criteria. The model-selection criteria considered in this paper are also applied to Stock and Watson’s two macroeconomic data sets. The results differ considerably depending on the model-selection criterion in use, but evidence suggesting five factors for the first data and five to seven factors for the second data is obtainable.     

Three Recommendations for Improving the Use of p-Values

ABSTRACT

Researchers commonly use p-values to answer the question: How strongly does the evidence favor the alternative hypothesis relative to the null hypothesis? p-Values themselves do not directly answer this question and are often misinterpreted in ways that lead to overstating the evidence against the null hypothesis. Even in the “post p?<?0.05 era,” however, it is quite possible that p-values will continue to be widely reported and used to assess the strength of evidence (if for no other reason than the widespread availability and use of statistical software that routinely produces p-values and thereby implicitly advocates for their use). If so, the potential for misinterpretation will persist. In this article, we recommend three practices that would help researchers more accurately interpret p-values. Each of the three recommended practices involves interpreting p-values in light of their corresponding “Bayes factor bound,” which is the largest odds in favor of the alternative hypothesis relative to the null hypothesis that is consistent with the observed data. The Bayes factor bound generally indicates that a given p-value provides weaker evidence against the null hypothesis than typically assumed. We therefore believe that our recommendations can guard against some of the most harmful p-value misinterpretations. In research communities that are deeply attached to reliance on “p?<?0.05,” our recommendations will serve as initial steps away from this attachment. We emphasize that our recommendations are intended merely as initial, temporary steps and that many further steps will need to be taken to reach the ultimate destination: a holistic interpretation of statistical evidence that fully conforms to the principles laid out in the ASA statement on statistical significance and p-values.     

基于Hawkes因子模型的股价共同跳跃研究

本文首先比较了三种目前主流的共跳检验方法：基于LM检验的共跳检验、BLT共跳检验和FHLL共跳检验,结果表明,三种方法在识别共跳数量上差距明显,但三者结果的重合部分基本属于市场暴涨暴跌行情,说明共跳识别对市场剧烈波动的聚集性较为敏感。基于跳跃、共跳存在的聚集性问题,本文将Hawkes过程引入跳跃和共跳的研究,构建了基于Hawkes过程的因子模型,结果显示,基于Hawkes因子模型的MJ统计量、CJ统计量和实证数据的拟合程度较好,表明因子模型能够更好地描述跳跃和共跳的聚集性。     

Psychometric properties of the “parent-child relationship inventory” (PCRI) in a portuguese forensic sample

In Portugal, there is a gap regarding psychological tests validated for forensic contexts, particularly those related to child custody issues. The Parent–Child Relationship Inventory (PCRI) is one of the most used instruments in child custody contexts. This study aimed to analyze the psychometric properties of PCRI in a Portuguese forensic sample. PCRI factorial structure and psychometric properties were analyzed in a sample of 144 parents involved in child custody assessments. The questionnaire showed good internal consistency, except for the parental support, autonomy, and role orientation scales. It also showed good discriminant capacity. The confirmatory factor analysis did not replicate the 7-factor model proposed by Gerard. The results were discussed based on the use of PCRI in the context of child custody assessment.     

角色参照语法的分析框架及其解释能力探析

角色参照语法是20世纪70年代以来发展起来的一种结构功能语法。论文尝试评述其主要的语法分析框架,并以英语和汉语为例探究其对不同语言的解释能力。角色参照语法成功地将语篇、语用因素融入到句法结构的分析之中,因此,它不仅能够较好地解释英语等形合语言的结构特征,也适用于具有意合特征的汉语等语言的结构分析。角色参照语法比传统的形式语法具有更大的灵活性和适用性。     

双循环驱动我国城市产业转移效应研究

基于201个城市的相关数据,利用动态面板模型和空间杜宾模型,实证分析了内循环、外循环和双循环对产业转移的影响。研究结果表明：前期产业转移在一定程度上会影响后期产业转移,前一期当地产业比例较大,其后产业转移受到的促进作用也较大;内循环、外循环和双循环均对产业转移起到显著的正向促进作用,东部城市受到的促进作用略高于中西部城市;要素流动在产业转移中发挥着重要作用,劳动力要素流动、技术要素流动和资本要素流动不仅受到内、外循环和双循环的促进作用,同时对产业转移也起到一定的促进作用;产业转移具有空间相关性,产业在空间上倾向于向产业转入较高的城区转移。为此,我国在政策上应进一步加快推动内循环,促进外循环,关注要素流动在产业转移中的重要作用,合理分配要素资源。     

构建和谐社会需要和谐发展的成人高等教育

本文通过对影响我国成人高等教育发展的计划与市场、规模与质量、创新意识与实际效果、办学形式与学生生存状态、自身发展与学校投入等不和谐因素的分析,认为成人高等教育的和谐发展是社会和谐发展的基础,并就如何实现成人高等教育和谐发展的相关问题进行了一些探讨。     

试论李佩甫《城的灯》中的恶魔性因素

恶魔性因素在中西方文学传统中具有普遍意义,栩栩如生的恶魔性人物形象始终具有着无限的艺术生命力。恶魔性因素的内涵是对某种正常秩序的破坏,对正常意义上的社会伦理道德的反叛,其核心要素是反抗,其生命是叛逆,其实质是战斗。原始的生命冲动和颇具创造性的智慧是其性格中共有特点。李佩甫小说《城的灯》中的冯家昌这一人物性格中,就具有较强的恶魔性因素。     

未成年被害人转为犯罪人的原因及被害预防

我国未成年人犯罪形势严峻,已引起全社会的广泛重视。而未成年犯罪人有很大的比例是由被害人转化而来,这种转化令我们痛心,也应引起我们的高度重视。文章尝试探讨了未成年被害人向犯罪人转化的心理原因以及预防被害的措施,以期在犯罪预防上有一个不同的视点,防患与未然,减少未成年人的被害,从而减少未成年人的犯罪案件发生。