A Note on High-Dimensional Linear Regression With Interactions

The problem of interaction selection in high-dimensional data analysis has recently received much attention. This note aims to address and clarify several fundamental issues in interaction selection for linear regression models, especially when the input dimension p is much larger than the sample size n. We first discuss how to give a formal definition of “importance” for main and interaction effects. Then we focus on two-stage methods, which are computationally attractive for high-dimensional data analysis but thus far have been regarded as heuristic. We revisit the counterexample of Turlach and provide new insight to justify two-stage methods from the theoretical perspective. In the end, we suggest new strategies for interaction selection under the marginality principle and provide some simulation results.     

Notes on testing carry-over effects in continuous data under an incomplete block crossover design

We consider hypothesis testing and estimation of carry-over effects in continuous data under an incomplete block crossover design when comparing two experimental treatments with a placebo. We develop procedures for testing differential carry-over effects based on the weighted-least-squares (WLS) method. We apply Monte Carlo simulations to evaluate the performance of these test procedures in a variety of situations. We use the data regarding the forced expiratory volume in one second (FEV₁) readings taken from a double-blind crossover trial comparing two different doses of formoterol with a placebo to illustrate the use of test procedures proposed here.     

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.     

Beyond interviewer effects in the standardized measurement of ego-centric networks

The effects which interviewers exert on the collection of ego-centric networks have recently come into the focus of methodological considerations. Studies consistently show that the size of networks varies depending on the interviewer. We would like to expand on this research strand by pointing to different aspects which have so far gone unremarked in the discussion. First, size is mainly analysed as a network measure which is influenced during data collection, while other common measures such as network density or composition have not received sufficient consideration. Second, large-scale surveys using face-to-face interviews usually allocate interviewers to a single sampling point. Differences between sampling points (locality effects) are attributed to interviewer effects. Hence, we disentangle the effects of the locality and interviewer. Third, the discussion on interviewer effects often follows an “actor-oriented” consideration of how data collection situations are structured by interviewers. Expanding this approach from a relational perspective, we consider the relationship between the interviewers and respondents and whether this relationship influences the collection of network data. To test our hypotheses about the influence of interviewers, the locality and the interviewer-respondent relationship on different network measures, we use data from the 2010 German General Social Survey (n = 2827 respondents, n = 220 interviewers). The multilevel analyses show that the relationship between the interviewer and the respondent is not very relevant. Furthermore, the analyses show that interviewers have an influence on the network size but not on measures of their composition. However, evidence on the prevalence of locality or interviewer effects is mixed. Finally, homophilous interviewer-respondent relationships have very little effect on network characteristics. We find evidence of training and fatigue effects on network size. However, much of the variation in network size caused by the interviewer still remains unexplained. We draw conclusions on how to organize interview situations in surveys.     

Mortality among elder abuse victims in rural Malaysia: A two-year population-based descriptive study

Our study aims at describing mortality among reported elder abuse experiences in rural Malaysia. This is a population-based cohort study with a multistage cluster sampling method. Older adults in Kuala Pilah (n = 1,927) were interviewed from November 2013 to May 2014. Mortality was traced after 2 years using the National Registration Department database. Overall, 139 (7.2%) respondents died. Fifteen (9.6%) abuse victims died compared to 124 (7.0%) not abused. Mortality was highest with financial abuse (13%), followed by psychological abuse (10.8%). There was a dose-response relationship between mortality and clustering of abuse: 7%, 7.7%, and 14.0% for no abuse, one type, and two types or more, respectively. Among abuse victims, 40% of deaths had ill-defined causes, 33% were respiratory-related, and 27% had cardiovascular and metabolic origin. Results suggest a link between abuse and mortality. Death proportions varied according to abuse subtypes and gender.     

心理资本:组织竞争优势之源

从心理资本的概念与构成维度、心理资本的测量与干预、心理资本的影响效应研究三个方面对心理资本做了阐述。在对国内外现有文献进行回顾和评述的基础上,指出现有研究的不足,提出了对未来的展望。     

对行政诉讼调解制度的冷思考

行政诉讼调解制度对当下中国的行政诉讼法发展有着不可忽视的消极作用,它将行政诉讼的目的定位为解决纠纷,淡化了行政诉讼保护相对人合法权益的目的,妨碍了行政诉讼独特的宪政功能的发挥,并导致了行政法规则在诉讼中的模糊化,使行政诉讼所承担的对行政法的告示、指引、预测、教育等作用无从发挥,行政违法的责任也随之淡化。而学界肯定行政诉讼调解制度的理由如行政裁量权的存在、中国无讼厌讼传统、外国存在相关制度等,均无法成立。由此,中国在当下不应建立行政诉讼调解制度。     

非范畴化与回文结构逆向对称重叠

回文语言的独特性,绝妙的文字驾驭,是其它修辞所无法比拟的。从认知语言学角度分析回文的语义范畴,认为回文语义存在一定非范畴化特征,即在语义上表现为范畴成员逆向对称重叠的并列组合关系;句法上,范畴成员位置移动,突破了组合关系或聚合关系的常规限制,使得回文的后部分语义发生非范畴化变异;语境上,在认知参照点的作用下,回文的前后部分语义关系可能相似而形成统一关系,也可能相反而产生对立关系。这种关系使得回文语义发生非范畴化变异,在语用功能上违背了常规语言关系的限制,从而实现回文前景化语言的震撼性修辞表达效果。     

试论秘书的参谋作用

秘书的参谋作用是客观存在的,是不能否定的,但不能夸大秘书的参谋作用。秘书为领导当好参谋,主动提供信息,献计献策,发挥参谋作用。正确认识这个问题,有助于在企业领导管理工作中充分发挥秘书的作用,也有助于推动秘书职业化的进程。