TRANSFORMING DISCOURSE INTO PRACTICE: COMPUTERHYSTORIES AND DIGITAL CULTURES AROUND 1984

This paper discusses some theoretical approaches to the question of how culture, technologies and the social interact. These considerations result from the author' research in the genesis of digital cultures in the 1980s. The paper begins by outlining the author' research project, and then continues with a discussion of some of the most influential approaches in the cultural studies of technology.This article then presents a small sample of the author' analysis, which combines narratological and discourse analytical methods with practice-oriented cultural theories, such as those of Pierre Bourdieu, Régis Debray and Bruno Latour.     

The derivation of a brief Student Nurse Stress Index

The lack of an adequate measure of perceived sources of stress for student nurses led to the construction of the Student Nurse Stress Index (SNSI). Responses from 235 first-year student nurses to 35 items from the Beck and Srivastava Stress Inventory (Beck, and Srivastava, 1991), and 15 new items, were subjected to exploratory factor analysis using principal components analysis and oblimin rotation. A reliable 22-variable solution with a simple oblique structure including Academic load, Clinical sources, Interface worries, and Personal problems factors was obtained in this initial sample, and confirmed at an exploratory level in a further independent validation sample of 188 first-year students. Confirmatory factor analysis established the four-factor model in the first sample, but required that three variables load onto more than one factor. This more complex four-factor model was confirmed using independent data from the validation sample, and the total invariance of factor loadings and factor covariances of this more complex four-factor model was established in both data sets simultaneously using multi-sample techniques. The SNSI shows cross-sample factor congruence, good internal reliabilities, and concurrent and discriminant validity across a range of reporting conditions.     

Statistical Microcomputing—Like it is

A statistical software package is a collaborative effort between a program's authors and users. When statistical analysis took place exclusively on mainframe computers, the entire statistical community was served by some three to six major packages, which helped to ensure that program errors would be quickly uncovered and corrected. The current trend toward performing statistical analysis on microcomputers has resulted in an explosion of software of varying quality, with more than 200 packages for the IBM PC alone. Since all of these programs are competing for the same base of knowledgeable users, the number of sophisticated users per package is dramatically less than for mainframe packages; the net result is that problems in any particular package are more likely to go unnoticed and uncorrected. For example, the most widely used shareware package contains major errors that should cause it to be rejected out of hand, and three best-selling packages analyze unbalanced two-factor experiments using an approximate technique originally developed for hand calculation. Several strategies are offered to help author and user reveal any problems that might be present in their software.     

基于因子分析的GDP质量综合评价

GDP是反映一个国家整体经济态势和发展水平的最重要的指标，然而单一用GDP来反映整个经济发展状况存在一定的缺陷。为此，按照一定的原则，构建GDP质量综合评价指标体系很有必要，因子分析结果表明我国GDP质量水平从1983-2006期间总体上呈先降后升的趋势。     

斯蒂文森的苏格兰散文特点分析

罗伯特·路易斯·斯蒂文森是19世纪末新浪漫主义文学的代表,其小说因极具独创性而备受推崇,而他的散文创作却因缺乏创造性而受到较少关注.本文从现代叙事学理论入手,对斯蒂文森的苏格兰散文叙述者及其聚焦特点进行分析,并进一步从心理层面对该类散文的叙事特点进行讨论.     

隐含概念漂移的数据流分类算法研究

数据流具有快速性、连续性、多变性及无限性等特性，使得传统的分类方法不再适用。由于数据流多变的特性，设计高效、高精度的分类算法是比较困难的。目前数据流在电信、网络等众多应用领域客观大量存在，因此研究快速的、精确的、稳定的数据流分类系统具有较高的理论价值和应用前景。近年来，大量的研究工作都旨在高效准确地解决隐含概念漂移的数据流的分类问题。本文研究了一些适合数据流的分类算法，根据算法主要思想的不同进行分类，根据每种思想的发展历程对其相应的算法进行论述，并对部分经典算法分析其处理概念漂移的性能，并对进一步可做的工作进行展望。     

中国大学生的饮酒期望结构与饮酒行为

本文研讨了中国大学生饮酒期望与饮酒行为的特点,采用自编的饮酒期望问卷、AUDIT测验与DRIE测验,对自编问卷65个题目的结果进行因素分析。结果显示,大学生饮酒期望的结构可分为负性行为反应、正性生理反应等12个因素。研究还发现,南方大学生各个年级之间AUDIT得分的差异不显著,北方大学生高年级得分高于低年级;外控组在AUDIT上面的得分要高于内控组。     

Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market

We propose a Bayesian approach for inference in a dynamic disequilibrium model. To circumvent the difficulties raised by the Maddala and Nelson (1974) specification in the dynamic case, we analyze a dynamic extended version of the disequilibrium model of Ginsburgh et al. (1980). We develop a Gibbs sampler based on the simulation of the missing observations. The feasibility of the approach is illustrated by an empirical analysis of the Polish credit market, for which we conduct a specification search using the posterior deviance criterion of Spiegelhalter et al. (2002).     

In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?

It is widely known that significant in-sample evidence of predictability does not guarantee significant out-of-sample predictability. This is often interpreted as an indication that in-sample evidence is likely to be spurious and should be discounted. In this paper, we question this interpretation. Our analysis shows that neither data mining nor dynamic misspecification of the model under the null nor unmodelled structural change under the null are plausible explanations of the observed tendency of in-sample tests to reject the no-predictability null more often than out-of-sample tests. We provide an alternative explanation based on the higher power of in-sample tests of predictability in many situations. We conclude that results of in-sample tests of predictability will typically be more credible than results of out-of-sample tests.     

Maximizing a Family of Optimal Statistics over a Nuisance Parameter with Applications to Genetic Data Analysis

In this article, a simple algorithm is used to maximize a family of optimal statistics for hypothesis testing with a nuisance parameter not defined under the null hypothesis. This arises from genetic linkage and association studies and other hypothesis testing problems. The maximum of optimal statistics over the nuisance parameter space can be used as a robust test in this situation. Here, we use the maximum and minimum statistics to examine the sensitivity of testing results with respect to the unknown nuisance parameter. Examples from genetic linkage analysis using affected sub pairs and a candidate-gene association study in case-parents trio design are studied.