Classification-Error Models and Labor-Market Dynamics

Measurement error is often a severe problem in longitudinal data such as labor-market flows. Two correction methods have been used for labor-market flows, but the methods tend to adjust the data in opposite directions. One method shows a rigid labor market with long unemployment spells, whereas the other shows the opposite. Because the methods appear theoretically similar, one might interpret the differing results as an indictment of both procedures. This article documents and explains the differences between the two methods. More important, it argues that the differences result from the reliance of one method on assumptions that are theoretically implausible and rejected by the data.     

Empirical Likelihood Inference for Longitudinal Data with Missing Response Variables and Error-Prone Covariates

We consider statistical inference for longitudinal partially linear models when the response variable is sometimes missing with missingness probability depending on the covariate that is measured with error. The block empirical likelihood procedure is used to estimate the regression coefficients and residual adjusted block empirical likelihood is employed for the baseline function. This leads us to prove a nonparametric version of Wilk's theorem. Compared with methods based on normal approximations, our proposed method does not require a consistent estimators for the asymptotic variance and bias. An application to a longitudinal study is used to illustrate the procedure developed here. A simulation study is also reported.     

Using a balanced set of measures to focus on long-term competency in internal communication

To advance our knowledge on measurement efforts in internal communication, this paper presented the findings from two research projects related to how we can measure the effectiveness of organizations’ internal communication initiatives and their contributions to organizations’ business performance. Integrated findings from in-depth interviews and a content analysis suggested that although limited financial metrics have been applied to the evaluation process, traditional measurement approaches such as feedback survey, focus group, and qualitative analysis have been widely used. Measurement efforts in employee communication have been largely focusing on employee participation, engagement, satisfaction, and productivity. The paper was concluded with suggested implications for corporate communication measurement challenges.     

Mapping semantic meaning of corporate reputation in global economic crisis context: A Slovenian study

This paper raises fundamental questions about the meaning of reputation and its measurement. It also considers the context of the recent global economic crisis, which brought about the lowest levels of trust in corporations, and a serious erosion of reputational capital of the corporations previously regarded as highly reputable. It maps out the semantic content of corporate reputation in an attempt to capture the ideas that individuals associate with this concept and to contrast it with the established standard reputational measures of reputation. The empirical part is based on semantic network analysis, a special form of social network analysis, where connections are formed by the use of overlapping concepts. The results show that there are a few strong determinants of reputation. They mainly coincide with the established reputational measures; however, some strong determinates seem to be context-specific and reflect the current global economic and financial crisis. The findings of the study correspond to the proposition in the literature that reputation is socially constructed and deliver insights into the relevance of standard and universal reputational measures.     

Finite Population Variance Estimation in Presence of Measurement Errors

In this article, we propose a class of estimators for the population variance of a quantity of interest. The estimators in the class use auxiliary information to improve efficiency, and we suppose that measurement errors are present both in the study and auxiliary variate. We take into account such problem using a regression approach. We show that the class proposed is quite flexible and general, allowing to consider many kinds of information as auxiliary one. Comparisons within estimators in the class are studied theoretically and through simulations.     

Advertising value equivalence—PR's orphan metric

The academic approach to measurement and evaluation has long favoured social science methodologies (0050, 0260 and 0315), but there has been persistent, widespread practice use of advertising value equivalence (AVE) to express the economic and financial value of public relations activity. This paper investigates the evolution of AVE and discusses whether it arose from clippings agencies, press agentry or other influences on public relations, such as advertising and product promotion.     

Bayes and minimax estimators for two-stage sampling from a finite population under measurement error models

We consider Bayes and Minimax estimates of population mean in sampling from a finite population in two-stages using simple random sampling without replacement at each stage, when the true values of the characteristic cannot be observed but only the values mixed with some measurement errors are observed. Minimax values of sample sizes have been found in case of equal-sized clusters and equal-sized second stage samples.     

Measurement Issues in Human Behaviour Theory

Abstract

This paper provides a brief introduction to the use of standardized measurement scales in behavioural theory, discusses some of the limitations of the domain sampling model of measurement for behavioural scientists and practitioners, and identifies central measurement issues in behavioural theory that are germane to all measurement tools. The ever popular and useful behavioural checklist is used to introduce the domain sampling model of measurement and to describe how it can be treated as a standardized measurement tool.     

An approach to consensus measurement of linguistic preference relations in multi-attribute group decision making and application

This paper studies the group decision making problem with linguistic preference relations. We first study the consensus measure between the individual preference relations and the collective (group) preference relation by defining the concept of degree of similarity between two linguistic values and two linguistic preference relations. Then we propose a concept of the acceptance consensus threshold value for group decision making with linguistic preference information. We show that the consensus between individual preference relations and the collective (group) preference relation is greater than the weighted similarity degree of a given individual preference relation with respect to other individual preference relations in group decision making with linguistic preference relations. The results will help in the analysis of crucial issues of conflict and agreement among preferences of decision-makers, which affect the consensus of group decision making with linguistic preference relations. Theoretical foundations are then established for the proposed method. Finally, the proposed method is applied to evaluate the degree of consensus of individual overall preference values with respect to the collective overall preference values for multi-attribute group decision making with linguistic information. The main contribution of this paper is twofold. One is to present a new way to measure the consensus between the individual preference relations and the collective (group) preference relation in group decision making with linguistic preference information. Another is to provide an effective approach to evaluating individual overall preference values with respect to the collective overall preference values in multi-attribute group decision making with linguistic information.     

国内企业声誉测评实践：比较与启示——以“中国最受尊敬企业”和“最受赞赏的中国公司”榜单为例

企业声誉测评是声誉管理的重要内容。"中国最受尊敬企业"和"最受赞赏的中国公司"是目前国内企业声誉测评最具影响力的两份榜单。对两份榜单产生的程序、企业出现的频次、性质、所属行业等方面进行了比较,分析发现:有5家企业备受两份榜单青睐;地方国有企业比央企具有更好的声誉;与公众关系密切的并且具有高科技性质的电子电器类企业拥有更好的声誉。与此同时,因评价指标、主体等的不同,两份榜单的结果有着明显差异,且均具有一定的局限性。由此,关注受访者的地域文化差异、消费者群体在声誉测评中的作用,将有助于企业声誉测评的改进,同时对中小企业进行声誉测评将更具有现实意义。