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.     

The Aging Semantic Differential in Mandarin Chinese: Measuring Attitudes toward Older Adults in China

ABSTRACT

The Aging Semantic Differential (ASD) is the most widely used instrument to measure young people’s attitudes towards older adults. This study translated the ASD to Mandarin and examined its psychometric properties. The Mandarin-ASD contains three latent factors (Personality and Mental Health, Societal Participation, and Physical) that have high internal reliability and reasonable discriminate validity. Social work researchers, practitioners and allied professionals may utilize the ASD-Mandarin instrument to measure young people’s attitudes towards older adults in China. We issue a call for a universal-ASD that can be applied across different cultural contexts.     

Difference-based matrix perturbation method for semi-parametric regression with multicollinearity

This paper addresses the collinearity problems in semi-parametric linear models. Under the difference-based settings, we introduce a new diagnostic, the difference-based variance inflation factor (DVIF), for detecting the presence of multicollinearity in semi-parametric models. The DVIF is then used to device a difference-based matrix perturbation method for solving the problem. The electricities distribution data set is analyzed, and numerical evidences validate the effectiveness of the proposed method.     

Evaluating modified generalized information criterion in presence of multicollinearity

When there are many explanatory variables in the regression model, there is a chance that some of these are intercorrelated. This is where the problem of multicollinearity creeps in due to which precision and accuracy of the coefficients is marred, and the quest to find the best model becomes tedious. To tackle such a situation, Model selection criteria are applied for selecting the best model that fits the data. Current study focuses on the evaluation of the four unmodified and four modified versions of generalized information criteria—Akaike Information Criterion, Schwarz's Bayes Information Criteria, Hannan-Quinn Information Criterion, and Akaike Information Criterion corrected for small samples. A simulation study using SAS software was carried out in order to compare the unmodified and modified versions of the generalized information criteria and to discover the best version amongst the four modified model selection criteria, for identifying the best model, when the collinearity assumption is violated. For the proposed simulation, two samples of size 50 and 100, for three explanatory variables X₁, X₂, and X₃, are drawn from Normal distribution. Two situations of collinearity violations between X₁ and X₂ are looked into, first when ρ = 0.6 and second when ρ = 0.8. The outcomes of the simulations are displayed in the tables along with visual representations. The results revealed that modified versions of the generalized information criteria are more sensitive in identifying models marred with high multicollinearity as compared to the unmodified generalized information criteria.     

Adaptation of the short version of the Psychological Capital Questionnaire (PCQ-12) into Spanish / Adaptación al español de la versión reducida del Cuestionario de Capital Psicológico (PCQ-12)

Psychological capital (PsyCap) has been a topic of increasing interest in the last decade. However, there is a lack of validated instruments in Spanish to map PsyCap and its consequences for individuals’ well-being. Consequently, the goal of this study is to adapt the 12-item short version of the Psychological Capital Questionnaire (PCQ-12) to the Spanish context by analysing its internal consistency and reliability, factor solution and external validity. Results indicated that the PCQ-12 exhibited good Cronbach’s alpha (.87) and omega coefficient (.93) values in a sample from a vehicle inspection company (n = 798). As expected, results also revealed that a second-order factor structure provided the best fit. Moreover, PsyCap is associated with increased job engagement (β = .579; R²_adjusted = .333), decreased job burnout (β = ?.409; R²_adjusted = .166), and lower psychological distress (β = ?.349; R²_adjusted = .121) (all p < .01), which provided additional support for using the PCQ-12 in the Spanish context. Implications for theory and practice are discussed.     

商业信用风险管理绩效影响因素的实证分析

近年来,Jianmin Jia等学者对"我国信用风险管理现状"及其相关问题进行研究,取得一定的研究成果,但相应研究中存在着"简单使用线性回归,未能消除变量间的相互影响"等局限。基于对已有相关研究成果的评析,并运用因子分析和Pearson相关分析方法,对我国商业信用风险管理绩效的影响因素进行实证研究。研究表明:商业信用风险管理绩效的关键影响因素为"信用管理职能设置"、"客户资信评估"和"信用政策制定",我国企业应从"完善信用风险管理职能"、"改善信息不对称状况"和"提高信用政策制定水平"三方面提高风险管理绩效。     

劳动力缺失背景下新型农村养老保险需求及其影响因素研究

新型农村养老保险试点工作的全面开展、制度优化完善必须充分考虑农村现实状况和农民实际需求,本文以劳动力缺失、老龄化加剧、家庭养老功能弱化为背景,对陕西省西安市10个涉农区县开展实地调查,通过问卷设计与数据收集,获取1156个有效样本,综合运用描述性统计、相关分析和二分类、多分类逻辑回归分析方法,从参保意愿和支付能力的二维视角实证研究新型农村养老保险需求及其影响因素,结果表明：养老风险意识、新农保政策了解程度、新农保政策效果和缴费原则认可程度、耕地面积、期望养老金额是新农保参保意愿的显著影响因素,而表征经济状况的农民家庭年总收入、年基本支出与新农保支付能力之间具有显著的因果关系。     

中国旅游上市公司全要素生产率研究

旅游上市公司是旅游业发展的微观主体,其全要素生产率全面反映了该行业的实际经营效率和发展趋势。本文基于Malmquist指数探讨了20家中国旅游上市公司2004-2009年的全要素生产率。Malmquist指数及其分解结果显示:中国旅游上市公司Malmquist指数年均增长率为-0.4%,其中纯技术效率的增长显著,年均增幅为1.3%;时间跨度层面,中国旅游上市公司的全要素生产率的年度波动性较大。此外,样本中旅游上市公司Malmquist指数与营业收入增长率未能兼顾;2008-2009年度粗放型增长的特征显著。     

Dynamic factor structure of team performances in Liga MX

Team performance of the Mexican Football League (Liga MX), measured as the percentage of the total points obtained during each short tournament, is analyzed using Dynamic Factor Models (DFMs). The estimation of the common components is carried out with Principal Components and the stochastic nature of the DFM is studied through Panel Analysis of Non-stationarity in Idiosyncratic and Common Components. The results reveal that there are two common factors, one being possibly non-stationary. These factors show an interesting dynamic behavior in the league and allow to split the teams into two groups, namely, top competitors and emerging or relegated teams. Some discussion is given in this direction.     

新时期明代诗歌和诗学整理研究之不足及其对策--从有关谢榛及其著述的研究整理谈起

回顾、检视对谢榛其人、其诗、其诗学理论研究和对其著述整理的历史,可以说和整个明代诗歌、诗学整理研究一样,新时期以来,亦形成一个高潮,并取得了长足的进展.但是,从有关谢榛及其著作的整理研究存在的种种不足和偏差,亦可管窥新时期明代诗歌和诗学整理研究在宏观上、尤其是在微观上存在的蹈袭历史成见、人云亦云、主观推断、不着边际、等等弊端.其问题的关键在于某些违背精神生产的计划管理和行政干预、某些权威刊物过分强调宏观研究的导向、某些评职晋级的不合理规定、出版部门的经营体制以及市场经济的冲击、社会不良风气的影响等造成的学风浮躁和学术惰性的滋长蔓延,使越来越多的人丧失了创新精神,也使一些投机者、混子儿找到了在学术界一展身手的可乘之机.弥补和减少这些不足和偏差的对策应是加强基础建设、加强创作实践的研究、重视微观研究、学者要坚守阵地自立自强、提倡"文人相轻"相互辩难、研究者尝试创作、打通古今等.