人力资本股份化探讨

本文通过对人力资本及其确认、人力资本的价值与价值计量的研究,按“人力资本的价值取决于它所创造的超额利润（经济增加值）”的原则,设计人力资本价值计量模型,进而探索不同类型人力资本股份化的实现方式,并建议利用期权股份激励创新型人力资本所有者。     

品牌资产及其测量中的概念解析

品牌资产(品牌权益)是近年来营销领域中研究的热点问题,然而对于其基本概念的曲解却阻碍了对这个重要问题的进一步研究。本文针对品牌资产涉及的几个概念(品牌资产、品牌权益、品牌价值)及其相互关系加以解释,并将主要的品牌资产的测量方法进行分类,目的是澄清人们对于品牌资产基本概念的模糊认识,为进一步深入研究指明方向。     

国际幼儿参与测量工具研究进展及启示

幼儿在活动中的参与和投入状态反映了幼儿是否深度和有效学习,是幼儿园保教质量评估的重要组成部分,也是幼儿未 来学业成就的重要预测因素。然而,幼儿参与（children engagement）这一变量目前在国内的研究甚少,这可能源于测量工具的 不成熟。国外幼儿参与研究已有一定实证基础,且在政策层面得到西方国家政府的重视。本研究对国际上幼儿参与的主要测 量工具进行系统梳理和介绍,概述它们的主要内容、使用方法、测量范畴和优缺点。在此基础上,提出对我国幼儿参与研究的 几点启示：首先,选择测量工具前须明确幼儿参与的定义;其次,为能全面评估幼儿参与,同时使用观察和量表两种方式,开发 幼儿自我评估的工具,使测量能覆盖幼儿教育全部活动情境等措施是有益的尝试。     

基于资源观的企业IT能力理论及实证研究

本文研究目的是探讨企业IT能力的构成、测量及其提升问题.基于我国信息化实践背景,以企业资源观(Resource-based View)为理论依据,提出IT能力构成维度的概念模型,设计问卷及测量问题,并进行了数据收集以及信度、效度检验等实证研究对理论模型予以验证.最后,根据数据分析结果,为企业建立IT能力给出一系列的指导建议,从而有助于通过IT应用获取竞争优势.     

Measuring longevity achievements under welfare interdependencies: a case for joint life expectancy indicators

Whereas period life expectancy constitutes an intuitive indicator of the survival conditions prevailing at a particular period, this paper argues that, given the existence of welfare interdependencies, that widespread indicator is nonetheless an incomplete measure of the longevity achievements relevant for human well-being. The central importance of coexistence for human-beings implies that usual life expectancy measures should be complemented by joint life expectancy indicators, which measure the average coexistence time under particular survival conditions. After a study of the theoretical foundations of ‘single’ and ‘joint’ life expectancy indicators, it is shown that joint life expectancy measures tend to enrich significantly the comparison of longevity achievements across countries and periods. Moreover, the introduction of joint life expectancy indicators—as a complement to conventional life expectancy measures—into multi-variable indexes such as the United Nations’ HDI is also shown to affect international rankings of standards of living to a non negligible extent.

中小学生学习动机量表的编制

以奥苏贝尔的学习动机理论为基础，以认知内驱力、自我提高内驱力和附属内驱力三个变量作为学习动机的测量指标，编制了中小学生学习动机问卷。问卷包括认知内驱力、自我提高内驱力、附属内驱力三个分量表。结果表明，该问卷具有良好的信度和效度。此问卷可以作为准确、客观地测量中小学生学习动机的有效工具，有助于我们全面了解中小学生的学习动...     

Methods to assess measurement error in questionnaires of sedentary behavior

Sedentary behavior has already been associated with mortality, cardiovascular disease, and cancer. Questionnaires are an affordable tool for measuring sedentary behavior in large epidemiological studies. Here, we introduce and evaluate two statistical methods for quantifying measurement error in questionnaires. Accurate estimates are needed for assessing questionnaire quality. The two methods would be applied to validation studies that measure a sedentary behavior by both questionnaire and accelerometer on multiple days. The first method fits a reduced model by assuming the accelerometer is without error, while the second method fits a more complete model that allows both measures to have error. Because accelerometers tend to be highly accurate, we show that ignoring the accelerometer's measurement error, can result in more accurate estimates of measurement error in some scenarios. In this article, we derive asymptotic approximations for the mean-squared error of the estimated parameters from both methods, evaluate their dependence on study design and behavior characteristics, and offer an R package so investigators can make an informed choice between the two methods. We demonstrate the difference between the two methods in a recent validation study comparing previous day recalls to an accelerometer-based ActivPal.     

Model selection in high-dimensional noisy data: a simulation study

In many practical applications, high-dimensional regression analyses have to take into account measurement error in the covariates. It is thus necessary to extend regularization methods, that can handle the situation where the number of covariates p largely exceed the sample size n, to the case in which covariates are also mismeasured. A variety of methods are available in this context, but many of them rely on knowledge about the measurement error and the structure of its covariance matrix. In this paper, we set the goal to compare some of these methods, focusing on situations relevant for practical applications. In particular, we will evaluate these methods in setups in which the measurement error distribution and dependence structure are not known and have to be estimated from data. Our focus is on variable selection, and the evaluation is based on extensive simulations.     

Generalized estimator of population mean by using conventional and non-conventional measures in the presence of measurement errors

In survey research, it is assumed that reported response by the individual is correct. However, given the issues of prestige bias, self-respect, respondent's reported data often produces estimated values which are highly deviated from the true values. This causes measurement error (ME) to be present in the sample estimates. In this article, the estimation of population mean in the presence of measurement error using information on a single auxiliary variable is studied. A generalized estimator of population mean is proposed. The class of estimators is obtained by using some conventional and non-conventional measures. Simulation and numerical study is also conducted to assess the performance of estimators in the presence and absence of measurement error.     

国家创新体系视角下的国家创新能力测度述评——理论方法、数据基础及中国实践

文章从国家创新体系角度,对创新能力测度相关的理论基础、方法工具、科技统计调查及中国的研究与实践进行全面梳理和分析。国家创新能力测度的发展与实践表明:国家创新体系理论(NIS理论)以系统论为指导全面考察创新活动的发生机制,为准确测度国家创新能力提供了有力支撑;不同时期形成的创新能力测度方法与当时占主流地位的创新理论密切相关;当前占主导地位的测度方法可分为建模计量法、综合指标法和DEA效率评价法三类,都是以NIS理论为支撑的;规范的科技统计调查是准确测度创新能力的前提,OECD是这方面的典范,其经验为发展中国家提供了参考依据;中国学者在测度方法的探索上有诸多独到之处,但国内科技统计调查工作仍有待进一步规范。