论现代维吾尔语新词语的产生渠道及其特点

现代维吾尔语词汇在改革开放的近三十年来，发生了巨大的变化，产生了成千上万的新词语。文章根据这些变化。主要分析和归纳了现代维语新词语产生的造词、挖掘、借词等渠道及其仿造性、形象性、单一性、生疏性等特点。     

Domestic violence against women: A field study in Turkey

Factors affecting domestic violence against women in four Turkish cities (Adıyaman, Sivas, Denizli and Kırklareli) having different socioeconomic structures, are analyzed in this study. These factors consist of social, cultural, economic and psychological factors. In contrast to what we expected based on earlier literature, family income level has a positive relationship with violence. Logistic regression analysis also revealed that being a university graduate and having a personal income decreases the prevalence of violence as expected. However, working women and women with children are more prone to domestic violence. Again, there is a strong association between the neighborhood where the family lives and the incidence of violence. The extent of male dominance, as measured by the question “How are decisions taken in the family” is also associated with domestic violence: woman is less likely to be abused in households where decisions are taken collectively. Likewise, families where women have to get permission from the husband to carry out certain activities, have an increased incidence of suffering from husband's violence. Psychological factors, like being abused or having witnessed violence as a child, are also significantly correlated with domestic violence.     

Rethinking measures of migration: On the decomposition of net migration

The purpose of this paper is to “resurrect” the measure of net migration and defend its continued use under specific research circumstances, despite the current dissatisfaction with the measure as expressed by some scholars. We employ data from the 1980 Census of Population to compare five measures of migration, including net migration rates, in- and out-migration rates, migration efficiency ratios and migration turnover rates. We demonstrate the additivity of in- and out-migration rates with net migration rates and migration turnover rates. Also, we show how the migration efficiency ratio and turnover rates are conceptually and mathematically related. Finally, a simple multivariate model is estimated to show how regression coefficients from in-and out-migration rate models are related to net migration and migration turnover rates.     

Women’s empowerment and its effect on community development in Oman: predictive model and indicators for best practices

ABSTRACT

This study investigates the level of women’s empowerment in Omani society from the point of view of female university students from three public universities with respect to educational opportunity, equality in employment and their social status in the community. The study proposes a model for how to empower women based on the perceptions of university females and the factors that must be considered for improving the status of women in Oman. The model also provides indicators for social and community practices using confirmatory factor analysis and Path Analysis to determine pertinent factors and their effects on women’s development. The results showed a strong direct effect of women’s empowerment in Oman on community development. Despite the latest developments in Oman, as long as cultural rigidity remains, tradition upholds a conservative viewpoint of women, and families adhere to their uncompromised principles, women will remain subordinated by these factors according to the viewpoint of participants. This study concludes with recommendations for further research, including enrolment of females in all areas of specialisation creating more job opportunities for women, encouraging women’s leadership, and additional education of women’s rights and needs.     

Similarity-based model for ordered categorical data

In a large variety of applications, the data for a variable we wish to explain are ordered and categorical. In this paper, we present a new similarity-based model for the scenario and investigate its properties. We establish that the process is ψ-mixing and strictly stationary and derive the explicit form of the autocorrelation function in some special cases. Consistency and asymptotic normality of the maximum likelihood estimator of the model’s parameters are proven. A simulation study supports our findings. The results are applied to the Netflix data set, comprised of a survey on users’ grading of movies.     

Constructing quantile confidence intervals using extended simple random sample in finite populations

This paper constructs quantile confidence intervals based on extended simple random sample (SRS) from a finite population, where ranks of population units are all known. Extended simple random sample borrows additional information from unmeasured observations in the population by conditioning on the population ranks of the measured units in SRS. The confidence intervals are improved using Rao-Blackwell theorem over the conditional distribution of sample ranks given the measured sample units. Empirical evidence shows that the proposed confidence intervals have shorter lengths than confidence intervals constructed from an SRS sample.     

Does inflation bias stabilize real growth? Evidence from Pakistan

The motive of a typical discretionary central banker to accommodate excess inflation (inflation bias) is either to stabilize real growth or to spur it beyond natural rate. To what extent inflation bias helps to materialize this intention warrants empirical investigation. A more direct empirical probe into this issue, however, requires observable inflation bias indicators, which we model through desirable and threshold inflation rates as well as their respective society’s preferences. While examining the effects of inflation bias for a typical case of the discretionary monetary policy strategy of Pakistan, we found that contrary to the desired boost/stabilization in real growth, the policy (via. inflation bias) produced counterproductive results. Inflation bias was not merely ineffective in inducing real growth but significantly destabilized it. Moreover, the results, which are robust to different inflation bias indicators and subsample analysis, indicate that the higher the inflation bias, the higher is the intensity (magnitude) of its destabilizing effect and vice versa. This suggests that a policy that would minimize/constrain inflation bias would be a better choice as it would not only help achieve low and stable inflation but also a sustainable real economic growth.     

A psychometric evaluation of a Dutch version of the Job Content Questionnaire and of a short direct questioning procedure

Using the demand-control-support perspective on job stress, a Dutch translation of an adapted version of the Job Content Questionnaire (AJCQ) was administered to a large population ( N = 3638) of Flemish workers in a variety of jobs, together with the General Health Questionnaire, and a negative affectivity scale. Overall, the AJCQ was shown to be a solid measurement instrument as indicated by several estimated reliability indices and validity of the subscales. A factor analysis largely reproduced the a priori structure of the AJCQ. A short 10-item direct questioning procedure was constructed to measure the 10 subscales of the AJCQ and the results of this procedure were compared with the AJCQ in a subsample ( N = 660). The correlations with six criterion variables showed that single questions were equally predictive than the much longer version of the AJCQ.