交际法理论与实践间的偏差

自20世纪70年代以来,交际法因注重语言的意义,强调语言使用的得体性,而备受推崇。然而,其理论精髓“教学过程交际化和功能化”与我国的外语教学现状和资源不相吻合。理论与实践间存在偏差。不应盲目推崇。     

哲学如何面向现实?

哲学作为人类把握世界的一种基本方式,它必须以自己的特殊方式面向现实,才能实现哲学自身的发展并发挥哲学变革现实的独特作用。哲学面向的现实不是各种实例的总和,而是各个时代的时代精神。哲学不是以解释世界为目的而面向整个世界,而是以改变世界为旨趣而面向各个时代。哲学以反驳实践的方式而实现自身的改变世界的目的,并以自我批判的方式而实现自身的与时俱进。     

区域多元化企业分支机构核心能力培养方式——基于合法性视角的理论模型

企业核心能力培育是赢得竞争优势的关键活动,但目前对于区域多元化企业分支机构核心能力培育方式的研究尚不深入。研究者在综合制度理论、核心能力理论相关观点的基础上,以区域多元化企业分支机构为研究对象,构建了一个分支机构战略定位、制度距离与核心能力培育路径的理论模型。研究认为:区域多元化企业对于分支机构的战略定位与其核心能力培育方式具有相关性,制度距离与分支机构的战略定位对这种关系具有调节作用。     

On the asymptotic distribution of Cook's distance in logistic regression models

It sometimes occurs that one or more components of the data exert a disproportionate influence on the model estimation. We need a reliable tool for identifying such troublesome cases in order to decide either eliminate from the sample, when the data collect was badly realized, or otherwise take care on the use of the model because the results could be affected by such components. Since a measure for detecting influential cases in linear regression setting was proposed by Cook [Detection of influential observations in linear regression, Technometrics 19 (1977), pp. 15–18.], apart from the same measure for other models, several new measures have been suggested as single-case diagnostics. For most of them some cutoff values have been recommended (see [D.A. Belsley, E. Kuh, and R.E. Welsch, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, 2nd ed., John Wiley & Sons, New York, Chichester, Brisban, (2004).], for instance), however the lack of a quantile type cutoff for Cook's statistics has induced the analyst to deal only with index plots as worthy diagnostic tools. Focussed on logistic regression, the aim of this paper is to provide the asymptotic distribution of Cook's distance in order to look for a meaningful cutoff point for detecting influential and leverage observations.     

Diagnostic tools in generalized Weibull linear regression models

We propose some statistical tools for diagnosing the class of generalized Weibull linear regression models [A.A. Prudente and G.M. Cordeiro, Generalized Weibull linear models, Comm. Statist. Theory Methods 39 (2010), pp. 3739–3755]. This class of models is an alternative means of analysing positive, continuous and skewed data and, due to its statistical properties, is very competitive with gamma regression models. First, we show that the Weibull model induces ma-ximum likelihood estimators asymptotically more efficient than the gamma model. Standardized residuals are defined, and their statistical properties are examined empirically. Some measures are derived based on the case-deletion model, including the generalized Cook's distance and measures for identifying influential observations on partial F-tests. The results of a simulation study conducted to assess behaviour of the global influence approach are also presented. Further, we perform a local influence analysis under the case-weights, response and explanatory variables perturbation schemes. The Weibull, gamma and other Weibull-type regression models are fitted into three data sets to illustrate the proposed diagnostic tools. Statistical analyses indicate that the Weibull model fitted into these data yields better fits than other common alternative models.     

Detection of outliers in simple circular regression models using the mean circular error statistic

The investigation on the identification of outliers in linear regression models can be extended to those for circular regression case. In this paper, we propose a new numerical statistic called mean circular error to identify possible outliers in circular regression models by using a row deletion approach. Through intensive simulation studies, the cut-off points of the statistic are obtained and its power of performance investigated. It is found that the performance improves as the concentration parameter of circular residuals becomes larger or the sample size becomes smaller. As an illustration, the statistic is applied to a wind direction data set.     

The Campus Alberta Applied Psychology Counselling Initiative: Web-Based Delivery of a Graduate Professional Training Program

SUMMARY

The Campus Alberta Applied Psychology: Counselling Initiative is a collaboration between three universities in western Canada to offer a predominantly Web-based Master of Counselling program. This paper describes the basic structure of the program, the Web-based delivery system, communication tools employed, and the philosophical, pedagogical, programmatic, and administrative principles and concepts foundation to the development and implementation. Development of curricular content and learning processes have been driven by explicit examination of learner needs, a program-level competency matrix reflective of professional practice standards in the discipline of psychology, and deliberate and continuous formative evaluation and learner engagement in the process.     

Shrinkage Structure of Partial Least Squares

Partial least squares regression (PLS) is one method to estimate parameters in a linear model when predictor variables are nearly collinear. One way to characterize PLS is in terms of the scaling (shrinkage or expansion) along each eigenvector of the predictor correlation matrix. This characterization is useful in providing a link between PLS and other shrinkage estimators, such as principal components regression (PCR) and ridge regression (RR), thus facilitating a direct comparison of PLS with these methods. This paper gives a detailed analysis of the shrinkage structure of PLS, and several new results are presented regarding the nature and extent of shrinkage.     

Framing distance: local vs. non-local news in Hong Kong press

Geographical location as a “natural” attribute of news has always been a source of news manipulation. This research investigates how different community newspapers select, interpret, and package events originating in places of varying distances. Contextualized in Hong Kong, three media frames (authority, conflict, and attribution) are closely examined and theoretically connected to three types of newspapers (mass appeal, elite, and pro-establishment) across four locales (local, mainland China, Asian, and international). To test the hypotheses, a large-scale content analysis of 14 daily newspapers in Hong Kong was conducted. On the whole, findings supported the three hypotheses, showing that local news was systematically differentiated from non-local news in terms of the frequency of political authorities cited, presence of diversified opinions, and the likelihood of either individuals or institutions being blamed for social wrongs. Considerable variations were detected across different types of newspapers as well. Theoretical and social implications of the empirical findings are discussed.     

A multivariate solution of the multivariate ranking and selection problem

The problem of selection of the best multivariate population is given a new formulation which does not involve reducing the populations to univariate quantities. This formulation's solution is developed for known, and (using the Heteroscedastic Method) also for unknown, variance-covariance matrices. Preference reversals and arbitrary nonlinear preference functions are explicitly allowed in this new theory