Why do participants in voluntary organizations leave? Exploring the relationship between value congruence and length of stay

Recognizing the importance of values and the specific characteristics of participants and situations in voluntary organizations, we examine how value congruence—the fit or compatibility of values between participants and the organization, or among participants—interacts with personal and situational factors to predict participants' length of stay in their organizations. Introducing the case of a voluntary organization that offers shared housing, we measure value congruence through textual similarity in the self‐introduction documents of 49 participants and the organization's mission statement. This approach differs from the self‐reported measures based on participants' perceptions or recalled interactions used in previous studies. In line with expectation‐disconfirmation theory, participants with the strongest beliefs in organizational values had shorter lengths of stay. The amount of intraorganizational communication also moderated the relationship between value congruence and length of stay. This study provides theoretical and methodological implications for nonprofit management by considering personal and situational factors and evaluating value congruence by textual similarity.     

Hungarian verbal puzzles and the intensity of language contact

Grammaticality judgments of bilingual Hungarians in Slovakia and Ukraine vs. Yugoslavia show that overt objects are much more acceptable in the northern Slavic countries than in Yugoslavia. Two conflicting hypotheses have been advanced to explain this difference. The structural hypothesis claims that Serbian cliticization is responsible, while the socio-historical hypothesis claims that the difference in grammaticality judgments is due to a difference in the duration of Hungarian–Slavic language contact north of and south of present-day Hungary. Data from a seven-country survey (N = 846) show that there is a split between judgments in the northern vs. southern Slavic countries across a wide range of linguistic variables, which discredits the structural explanation for the object pro-drop variable, at least as the sole cause of change. Moreover, statistical analyses of 24 variables provide substantial empirical verification of Thomason and Kaufman's 'two crucial parameters of intensity of contact in a borrowing situation': time and level of bilingualism. It is shown that the 250 years of contact between Hungarian and Serbian has resulted in much smaller contact effects than the thousand-year-old contact of Hungarian with the northern Slavic languages. Bilingual Hungarians who constitute a local minority in the settlements where they live systematically favor the contact-induced variants of variables vis-a`-vis those who constitute a local majority.     

Explicit Formulae for the Queue Length Distribution of Batch Arrival Systems

Abstract

A G ^θ I/G/1-type batch arrival system is considered. Explicit formulae for the distribution of queue length both at the fixed time t and as t → ∞ are obtained. The study is based on the generalization of Korolyuk's method for semi-markov random walks.     

Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression

The monitoring of process/product profiles is presently a growing and promising area of research in statistical process control. This study is aimed at developing monitoring schemes for nonlinear profiles with random effects. We utilize the technique of principal components analysis to analyze the covariance structure of the profiles and propose monitoring schemes based on principal component (PC) scores. The number of the PC scores used in constructing control charts is crucial to the detecting power. In the Phase I analysis of historical data, due to the dependency of the PC-scores, we adopt the usual Hotelling T ² chart to check the stability. For Phase II monitoring, we study individual PC-score control charts, a combined chart scheme that combines all the PC-score charts, and a T ² chart. Although an individual PC-score chart may be perfect for monitoring a particular mode of variation, a chart that can detect general shifts, such as the T ² chart and the combined chart scheme, is more feasible in practice. The performances of the schemes under study are evaluated in terms of the average run length.     

Lag Length Selection in DF-GLS Unit Root Tests

We reinvestigate the empirical problem of lag length selection in unit root tests when using the augmented Dickey–Fuller test based on GLS-detrending. We extend the Ng and Perron (1995 Ng , S. , Perron , P. ( 1995 ). Unit root tests in ARMA models with data-dependent methods for the selection of the truncation lag . Journal of American Statistical Association 90 : 268 – 281 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) work on this issue by applying the finite sample critical values calculated using the formulae proposed by Cheung and Lai (1995 Cheung , Y. W. , Lai , K. S. ( 1995 ). Lag order and critical values of a modified Dickey–Fuller test . Oxford Bulletin of Business and Economics 57 : 411 – 418 .[Crossref] , [Google Scholar]). Unlike Ng and Perron (2001 Ng , S. , Perron , P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica 69:1519–1554.[Crossref], [Web of Science ®] , [Google Scholar]) we find through simulation studies that the method of selecting lag length using the sequential t-test in the ADF regression of GLS-detrended series performs the best in most cases.     

收敛函数列的曲线收敛与弧长收敛

本文系统讨论了收敛函数列的曲线收敛与弧长收敛,并给出和证明了弧长收敛的一个性质定理和一个判定定理。     

《内蒙古工业大学学报》(自然科学版)五年载文分析(1994～1998)

本文对《内蒙古工业大学学报》（自然科学版）１９９４～１９９８ 年五年载文情况进行了统计分析．其中包括收稿及刊用率,稿源,分类,内容,篇幅,出版时滞,作者情况以及各类基金论文发表情况等．将其统计结果与文献〔１〕进行了比较,结果表明刊用率,出版时滞和文章篇幅均较上一个五年有所下降．     

汉语语音特性对包交换通信中包化长度的影响

利用汉语语音的统计指数，从语音丢失的角度出发，分析了在语音数字综合业务网中，语音信号包化长度的变化对通信系统性能的影响，给出了包化长度所满足的数学表达式和实际计算值．     

Quality Control Chart for the Mean using Double Ranked Set Sampling

In this paper, an attempt is made to develop Quality Control Charts for monitoring the process mean based on Double Ranked Set Sampling (DRSS) rather than the traditional Simple Random Sampling (SRS). Considering a normal population and several shift values, the performance of the Average Run Length (ARL) of these new charts was compared with the control charts based on Ranked Set Sampling (RSS) and SRS with the same number of observations. It is shown that the new charts do a better job of detecting changes in process mean compared with SRS and RSS.     

Detection of Multiple Outbreaks Using Spatio-Temporal EWMA-Ordered Statistics

Spatio-temporal surveillance methods for detecting outbreaks of disease are fairly common in the literature with the scan statistic setting the benchmark. If the shape and size of the outbreaks are known in advance, then the scan approach can be designed to efficiently detect these, however, this is seldom true. Therefore we want to devise plans that are efficient at detecting a number of outbreaks that vary in size and shape. This paper examines plans which use the exponential weighted moving average statistic to build temporal memory into plans and tries to develop robust plans for detecting outbreaks of unknown shapes and sizes.