康定市吉居藏语所属问题

本文针对分布在四川甘孜州康定市吉居乡的藏族语言进行分析。吉居话的语言所属在以往研究里没有共识，有属于扎巴语的意见和属于康巴藏语的意见。通过与藏文的对比，可见该语言为一个属于康巴藏语崩波岗方言群的土话，并非木雅语或扎巴语。基于与吉居话周边土话的比较，我们提出吉居话属于崩波岗方言群雅砻江组的假设性结论。本文的分析方法亦能作为识别康巴藏语中方言所属的参考。     

Linearity,symmetry, and equidistance in semantic differential scales for measuring images of self and images of others

ABSTRACT

Violations of linearity, symmetry, and equidistance of scale points in semantic differential scales may be due to respondents failing to figure out antonyms, to a positivity bias, or to respondents curtailing their reading the options. Multiple correspondence analysis on data provided by a randomized between-subjects experiment (split-ballot), using a web survey of 537 German residents, shows that bipolar semantic differential scales allow for linear measurement and conceal no positivity bias, and that using not suitable adjective pairs in semantic differential scales destroys symmetry.     

网络传播中“情绪对应”现象与效应分析——基于《今日头条》样本数据的实证挖掘

基于网络传播大数据的实证分析显示，“情绪对应”不仅是一种整体意义上的强效果论，而且还在相当大的程度上体现出鲜明的甚至可预测的作用关系。分别从标题情绪促发的评论情绪的概率矩阵、评论情绪回溯的标题情绪概率矩阵进行分析。实证考察的详细结果显示：各种情绪的帖子和评论在绝对比重和相对比重上，都显现出相同情绪之间的对应和对称。情绪在网络“意见”和“议程”等内容传播层面需突出其系统性涉及的本体地位，加强从“信息的内容”向“信息的形式”的延展，强调情绪形式及其关系中的主体间性和传受间性。     

Decomposition of the main effects and interaction term by using orthogonal polynomials in multiple non symmetrical correspondence analysis

The multiple non symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two-way contingency table. In more complex cases, the predictor variables are more than one. In this paper, the MNSCA, along with the decomposition of the Gray–Williams Tau index, in main effects and interaction term, is used to analyze a contingency table with two predictor categorical variables and an ordinal response variable. The Multiple-Tau index is a measure of association that contains both main effects and interaction term. The main effects represent the change in the response variables due to the change in the level/categories of the predictor variables, considering the effects of their addition, while the interaction effect represents the combined effect of predictor categorical variables on the ordinal response variable. Moreover, for ordinal scale variables, we propose a further decomposition in order to check the existence of power components by using Emerson's orthogonal polynomials.     

The context of employment discrimination: interpreting the findings of a field experiment

Although field experiments have documented the contemporary relevance of discrimination in employment, theories developed to explain the dynamics of differential treatment cannot account for differences across organizational and institutional contexts. In this article, I address this shortcoming by presenting the main empirical findings from a multi‐method research project, in which a field experiment of ethnic discrimination in the Norwegian labour market was complemented with forty‐two in‐depth interviews with employers who were observed in the first stage of the study. While the experimental data support earlier findings in documenting that ethnic discrimination indeed takes place, the qualitative material suggests that theorizing in the field experiment literature have been too concerned with individual and intra‐psychic explanations. Discriminatory outcomes in employment processes seems to be more dependent on contextual factors such as the number of applications received, whether requirements are specified, and the degree to which recruitment procedures are formalized. I argue that different contexts of employment provide different opportunity structures for discrimination, a finding with important theoretical and methodological implications.     

A novel approach based on multiple correspondence analysis for monitoring social networks with categorical attributed data

In in most cases, the distribution of communications is unknown and one may summarize social network communications with categorical attributes in a contingency table. Due to the categorical nature of the data and a large number of features, there are many parameters to be considered and estimated in the model. Hence, the accuracy of estimators decreases. To overcome the problem of high dimensionality and unknown communications distribution, multiple correspondence analysis is used to reduce the number of parameters. Then the rescaled data are studied in a Dirichlet model in which the parameters should be estimated. Moreover, two control charts, Hotelling’s T² and multivariate exponentially weighted moving average (MEWMA), are developed to monitor the parameters of the Dirichlet distribution. The performance of the proposed method is evaluated through simulation studies in terms of average run length criterion. Finally, the proposed method is applied to a real case.     

Cumulative correspondence analysis using orthogonal polynomials

Taguchi's statistic has long been known to be a more appropriate measure of association of the dependence for ordinal variables compared to the Pearson chi-squared statistic. Therefore, there is some advantage in using Taguchi's statistic in the correspondence analysis context when a two-way contingency table consists at least of an ordinal categorical variable. The aim of this paper, considering the contingency table with two ordinal categorical variables, is to show a decomposition of Taguchi's index into linear, quadratic and higher-order components. This decomposition has been developed using Emerson's orthogonal polynomials. Moreover, two case studies to explain the methodology have been analyzed.     

文化语境中的商务英语函电文体特征研究

商务英语函电在贸易活动中有着重要的地位,其阅读翻译和写作各方面都受文化语境的影响。从语言、语篇、语法和词汇四方面分析英语函电的文体特征,并总结文化语境对其影响作用。     

Measures of Association and Visualization of Log Odds Ratio Structure for a Two Way Contingency Table

The odds ratio (OR) is a measure of association used for analysing an I × J contingency table. The total number of ORs to check grows with I and J. Several statistical methods have been developed for summarising them. These methods begin from two different starting points, the I × J contingency table and the two‐way table composed by the ORs. In this paper we focus our attention on the relationship between these methods and point out that, for an exhaustive analysis of association through log ORs, it is necessary to consider all the outcomes of these methods. We also introduce some new methodological and graphical features. In order to illustrate previously used methodologies, we consider a data table of the cross‐classification of the colour of eyes and hair of 5387 children from Scotland. We point out how, through the log OR analysis, it is possible to extract useful information about the association between variables.     

Embedded journalism: constructing romanticized images of China by US journalists in the 1970s

This case study examines the memoirs of American correspondents who were “embedded” within official delegations during the course of the US–China rapprochement in the early and mid-1970s. We seek to analyze how short-term visiting journalists arrived at their romanticized portrayals of Maoist China – when it was going through the chaos of the Cultural Revolution – and how the embedding journalistic practice served to facilitate foreign policy ventures orchestrated by both governments. We conclude that this romantic wave of media portrayal was entwined with journalistic preconceptions and a high level of dependency upon local fixers. Furthermore, we use discourse analysis to identify three “ideological packages” in their interpretation of the “new China” and its Cultural Revolution: material progress through self-reliance; a sense of purpose and morality; and equality.