Life Satisfaction of Adolescents in Hunan,China: Reliability and Validity of Chinese Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS)

The concept of poverty has gone beyond the monetary attributes to cover several dimensions directly influencing the level of individuals’ socio-economic status. Based on this methodological advancement, this study aims to approximate the deprivation of education, health and housing facilities to analyze the incidence of multidimensional poverty (MDP) at regional levels in the Sindh province of Pakistan. Findings revealed that the magnitude of MDP varies significantly across the regions due mainly to the variation in the deprivation levels of socio-economic aspects. Furthermore, the magnitude of MDP is higher in rural areas than urban areas in each region.     

Validation and Psychometric Properties of Academic Major Satisfaction Scale Among Korean College Students

The purpose of this research was to adapt and validate the 6-items Academic Major Satisfaction Scale (AMSS, Nauta in J Career Assess 15(4):446–462, 2007) for use in Korea. The scale was tested using 275 college students in South Korea. Results indicated adequate internal-consistency reliability of 0.87, and adequate test–retest reliability of 0.84. Confirmatory factor analysis demonstrated a unidimensional structure and measure invariance tests showed equivalent structure across gender groups. Correlations with career decision self-efficacy and variables related to subjective well-being ranged from moderate-tohigh and were all significant. All the results suggest suitable fit among the population of Korean college students. Suggestions for usage of and future research on the AMSS in the Korean context are discussed.     

武汉市“80后”青年的住房购买力研究

通过分析"80后"的内涵和特征并进行实地调研获得武汉市"80后"青年的住房现状、住房消费心理及偏好等基本信息,运用房价收入比模型计算出"80后"青年可承受的合理购买力区间以及个人和整体对新建商品房、经济适用房和二手房3类住房的购买力水平,对其住房购买力现状进行评价,以期为房地产市场的发展提供参考。研究表明,78.43%的"80后"青年能够在其偏好水平下形成有效购买力,且在他人财富馈赠的影响下,"80后"青年整体上能够对市场上各类住房消费需求形成有效的购买力。同时,通过分析影响"80后"住房购买力的主导因素,得出他人财富馈赠对其住房购买力有显著的影响。     

中国语言类学术集刊的发展现状及趋势分析

根据中国社会科学评价中心集刊调查材料,参照中国国家数字图书馆公布的信息,对语言类集刊从出版概况、内容、年代分布、地区分布、创办主体等方面进行全面调查,并剖析语言类集刊在学术规范和影响方面的情况,对语言类集刊的发展趋势进行展望。     

Selection of Binary Variables and Classification by Boosting

We adopt boosting for classification and selection of high-dimensional binary variables for which classical methods based on normality and non singular sample dispersion are inapplicable. Boosting seems particularly well suited for binary variables. We present three methods of which two combine boosting with the relatively classical variable selection methods developed in Wilbur et al. (2002 Wilbur , J. D. , Ghosh , J. K. , Nakatsu , C. H. , Brouder , S. M. , Doerge , R. W. ( 2002 ). Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints . Biometrics 58 : 378 – 386 . [Google Scholar]). Our primary interest is variable selection in classification with small misclassification error being used as validation of proposed method for variable selection. Two of the new methods perform uniformly better than Wilbur et al. (2002 Wilbur , J. D. , Ghosh , J. K. , Nakatsu , C. H. , Brouder , S. M. , Doerge , R. W. ( 2002 ). Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints . Biometrics 58 : 378 – 386 . [Google Scholar]) in one set of simulated and three real life examples.     

Bias Corrected Maximum Likelihood Estimator Under the Generalized Linear Model for a Binary Variable

Under the generalized linear models for a binary variable, an approximate bias of the maximum likelihood estimator of the coefficient, that is a special case of linear parameter in Cordeiro and McCullagh (1991), is derived without a calculation of the third-order derivative of the log likelihood function. Using the obtained approximate bias of the maximum likelihood estimator, a bias-corrected maximum likelihood estimator is defined. Through a simulation study, we show that the bias-corrected maximum likelihood estimator and its variance estimator have a better performance than the maximum likelihood estimator and its variance estimator.     

Bootstrap-Based T 2 Multivariate Control Charts

Control charts have been used effectively for years to monitor processes and detect abnormal behaviors. However, most control charts require a specific distribution to establish their control limits. The bootstrap method is a nonparametric technique that does not rely on the assumption of a parametric distribution of the observed data. Although the bootstrap technique has been used to develop univariate control charts to monitor a single process, no effort has been made to integrate the effectiveness of the bootstrap technique with multivariate control charts. In the present study, we propose a bootstrap-based multivariate T ² control chart that can efficiently monitor a process when the distribution of observed data is nonnormal or unknown. A simulation study was conducted to evaluate the performance of the proposed control chart and compare it with a traditional Hotelling's T ² control chart and the kernel density estimation (KDE)-based T ² control chart. The results showed that the proposed chart performed better than the traditional T ² control chart and performed comparably with the KDE-based T ² control chart. Furthermore, we present a case study to demonstrate the applicability of the proposed control chart to real situations.     

Additive Risk Model Using Piecewise Constant Hazard Function

We study a weighted least squares estimator for Aalen's additive risk model with right-censored survival data which allows for a very flexible handling of covariates. We divide the follow-up period into intervals and assume a constant hazard rate in each interval. The model is motivated as a piecewise approximation of a hazard function composed of three parts: arbitrary nonparametric functions for some covariate effects, smoothly varying functions for others, and known (or constant) functions for yet others. The proposed estimator is an extension of the grouped data version of the Huffer and McKeague (1991 Huffer , F. W. , McKeague , I. W. ( 1991 ). Weighted least squares estimation for Aalen's additive risk model . Journal of the American Statistical Association 86 : 114 – 129 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) estimator. For our model, since the number of parameters is finite (although large), conventional approaches (such as maximum likelihood) are easy to formulate and implement. The approach is illustrated by simulations, and is compared to the previous studies. The method is also applied to the Framingham study data.