Blocked-Error-R 2: A Conceptually Improved Definition of the Proportion of Explained Variance in Models Containing Loops or Correlated Residuals

Bentler and Raykov (2000, Journal of Applied Psychology 85: 125–131), and Jöreskog (1999a, http://www.ssicentral.com/lisrel/column3.htm, 1999b http://www.ssicentral. com/lisrel/column5.htm) proposed procedures for calculating R ² for dependent variables involved in loops or possessing correlated errors. This article demonstrates that Bentler and Raykov’s procedure can not be routinely interpreted as a “proportion” of explained variance, while Jöreskog’s reduced-form calculation is unnecessarily restrictive. The new blocked-error-R ² (beR ²) uses a minimal hypothetical causal intervention to resolve the variance-partitioning ambiguities created by loops and correlated errors. Hayduk (1996) discussed how stabilising feedback models – models capable of counteracting external perturbations – can result in an acceptable error variance which exceeds the variance of the dependent variable to which that error is attached. For variables included within loops, whether stabilising or not, beR ² provides the same value as Hayduk’s (1996) loop-adjusted-R ². For variables not involved in loops and not displaying correlated residuals, beR ² reports the same value as the traditional regression R ². Thus, beR ² provides a conceptualisation of the proportion of explained variance that spans both recursive and nonrecursive structural equation models. A procedure for calculating beR ² in any SEM program is provided.     

Conducting Mode 2 research in HRM: A phase‐based framework

Recent studies in the field of human resource management (HRM) have highlighted that current research is mostly performed and consumed by academics, and is driven by theoretical and disciplinary concerns rather than practical ones. This debate has invoked the need to produce more Mode 2 research in the HRM field, that is, research driven by practical problems that integrate collaborative efforts by academics and practitioners. Yet, guidelines on how academics and practitioners may implement Mode 2 research remain disjointed and incomplete. Our study provides a phase‐based collaborative‐based framework for the implementation of Mode 2 research in the HRM field, in ways that both academic rigor and practical relevance are achieved. Our framework is informed by a comprehensive review of previous Mode 2 research, within and outside the HRM field. The proposed framework details four macro‐phases: the codevelopment of research questions with practitioners; the design of collaborative spaces and mechanisms; the design and management of double‐loop iterative research processes; and finally the academic and practice legitimization of Mode 2 outcomes. Our framework has the objective to support HRM researchers and practitioners, as well as relevant institutions and gatekeepers in the design, implementation, education, and assessment of Mode 2 research.     

An integrated maximum score estimator for a generalized censored quantile regression model

Quantile regression techniques have been widely used in empirical economics. In this paper, we consider the estimation of a generalized quantile regression model when data are subject to fixed or random censoring. Through a discretization technique, we transform the censored regression model into a sequence of binary choice models and further propose an integrated smoothed maximum score estimator by combining individual binary choice models, following the insights of Horowitz (1992) and Manski (1985). Unlike the estimators of Horowitz (1992) and Manski (1985), our estimators converge at the usual parametric rate through an integration process. In the case of fixed censoring, our approach overcomes a major drawback of existing approaches associated with the curse-of-dimensionality problem. Our approach for the fixed censored case can be extended readily to the case with random censoring for which other existing approaches are no longer applicable. Both of our estimators are consistent and asymptotically normal. A simulation study demonstrates that our estimators perform well in finite samples.     

含硫油气井中的硫化氢气体检测和防护应急程序

文章详细分析了含硫油气井勘探开发中硫化氢气体产生的来源、硫化氢的主要检测方法,并重点论述了防护硫化氢的应急管理程序。     

基于WebGIS的交管综合信息查询系统

以原有江苏省交通厅综合数据分析系统为数据基础,文章提出了一种基于WebGIS的交管综合数据查询系统。该系统以WebGIS为基础,使用模块化设计方法,并采用J2EE、AJAX等技术,实现了交管信息的地理化查询以及系统功能的有效管理。文章详细阐述了系统模块化结构和工作流程,最后给出了核心功能的实现方法。     

C2C交易中消费者购物心理研究

目前我国经常上网购物人数和网民上网购物比例不断增大，消费者对消费者之间的电子商务交易（C2C）也在迅速发展。对于C2C交易中的卖家而言，掌握消费者在C2C交易中的购物心理对提高销售业绩显得特别重要。文章对消费者在C2C交易中的购物心理进行研究。     

简述人力资源管理在集成系统项目中的重要性

本文探讨了项目管理九大知识域中人力资源管理在项目建设中的必要性和重要性,其中也不乏个人的经验和教训总结。     

Education, credentials, and immigrant earnings

Abstract.  Using 1981 to 2001 Census data, we study how the human capital of immigrants is rewarded in Canada. We distinguish between years of schooling and degrees obtained in order to estimate 'sheepskin' effects – the gain in earnings associated with receipt of a degree, controlling for years of schooling. We find that immigrant years of schooling and immigrant work experience accumulated before arrival is valued much less than Canadian experience of comparable natives. However, for immigrants the increase in earnings associated with completing educational programs is generally higher than that of comparable natives. We provide both signalling and human capital interpretations of this finding.     

高校智力资本运作效率的数据包络分析

文章在综合分析高校智力资本的基本概念和主要内容的基础上，提出了用数据包络分析方法评价高校智力资本运作效率的基本思路与方法，并以8所高校在同一学科中的智力资本运作情况为算例，对数据包络分析的算法和所使用的计算工具作了说明。     

气候变化的地球环境解读与不良后果分析

地球相对适宜的平均温度为15℃,这种动态平衡显然已被打破,全球加速变暖已是不争的事实.在影响地球环境变迁的天-地-人三大因素中,天和地的作用是客观的、决定性的、不可逆的;生物作用特别是人的作用大多是主观的、非常重要的、负有人为责任的.气候变暖的负面影响,不仅使极端天气气候事件频繁发生,使局部地区甚至整个生物圈结构和功能失衡,导致全球环境进一步恶化,而且在经济社会层面各方借机争夺未来在能源发展和经济竞争中的优势地位,势必引发全球公共资源的新一轮利用和分配问题而产生的冲突,威胁和与平安全.看来,限制CO2等温室气体排放、应对气候变化的国际主流的努力,在技术上是可行的,但在政治或经济上是否可行,需要展开进一步深入的国际磋商与务实合作实践.