Linking Advertising,Materialism, and Life Satisfaction

This paper develops theory related to advertising, materialism, and life satisfaction by formally testing explanations related to the antecedents and consequences of materialism. Survey data were collected from seven major cities each in a different country (Australia, Bosnia/Herzegovina, Germany, Egypt, Korea, Turkey, and the USA) using a probability sample (cluster sampling method involving income stratification). The results showed that the extent to which advertising is perceived to be materialistic contributes to materialism. Materialism, in turn, leads to the frequent use of various standards of comparison in making judgments about standard of living. As judgments about standard of living increase, standard of living is evaluated more negatively. In turn, negative self-evaluations contribute significantly to dissatisfaction with life.     

Emphasizing the experiences of researchers after RCR instructions: Introduction to Responsible Conduct of Research (RCR) in Malaysia

The purpose of this study is to highlight the experiences of individuals who participate in the Responsible Conduct of Research (RCR) training program held at various universities in Malaysia. In response to a mailing request sent to 40 individuals who had undertaken a RCR training program, 15 participants agreed to be interviewed. The results of the study showed that the three main reasons for participating in the training were as follows: anticipation for knowledge gained; personal experience with research misconduct; and establishing a new network of researchers. In terms of the positive effects gained from undertaking the training, the participants highlighted an increased awareness of the issues and problems related to research misconduct; the need to promote integrity in research conduct; a change in the way they conduct their research; and a change in the way they confront and address misconduct. The findings of this study should be valuable for policy makers and those involved in the management of research programs and ethics, as it demonstrated the importance of RCR training in equipping researchers with the necessary knowledge to conduct research responsibly, and to avoid research misconduct.     

Using econometric analysis of willingness-to-pay to investigate economic efficiency and equity of domestic water services in the West Bank

The paper is aimed at providing evidence on economic efficiency, and equity of distribution of domestic water services in the West Bank. The study utilizes the CVM as a means of monetizing public preferences and households’ WTP. In the CVM questionnaire, the dichotomous choice with follow-up debriefing questions format is followed by an open-ended follow-up question was undertaken. A second questionnaire survey was directed to employees from water institutions, which was mainly designed to investigate the reasons behind the full absence of private sector in the provision of water supply. The two samples were selected to ensure a representative samples in accordance with the Palestinian case. The main findings of this paper gauged the WTP with key socioeconomic variables suggested by economic theory and previous CVM studies. These results provide information on economic efficiency and equity of water distribution. The results will allow decision makers to develop new policies that can achieve more efficient and equitable domestic water services.     

Regression model for surrogate data in high dimensional statistics

Abstract

This paper deals with the problem of estimating the regression of a surrogated scalar response variable given a functional random one. We construct an estimator of the regression operator by using, in addition to the available (true) response data, a surrogate data. We then establish some asymptotic properties of the constructed estimator in terms of the almost-complete and the quadratic mean convergences. Notice that the obtained results generalize a part of the results obtained in the finite dimensional framework. Finally, an illustration on the applicability of our results on both simulated data and a real dataset was realized. We have thus shown the superiority of our estimator on classical estimators when we are lacking complete data.     

The Securitization of Migration: A Racial Discourse1

As we enter the informational economy, freedom of human mobility has nearly disappeared. Instead, powerful words are travelling the globe unhindered: risk and security. They are being strung together with the present “migration phenomena”, leaving migrants bound by the chain of the new security discourse: the securitization of migration. This discourse is racism's most modern form. Discursive practices, as seen through the press portrayal of 599 migrants reaching Canada's western coast, have transformed migrants into agents which threaten “human security” How discourse informs government policy is illustrated through an examination of Canada's new immigration legislation.     

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Construction is one of the industries of strategic economic importance. Governments using their national institutions are involved in the collection of economic statistics, which indicate the state of their economy in the form of an annual time series. However, the completeness and accuracy of these statistics is frequently questioned by the stakeholders within the sector. Therefore there is an increasing need for accurate, manageable and reliable statistics to enable sound analysis of the construction sector. The main purpose of this research is to review building construction statistics in Turkey. The objectives of the review are to 1) engage with users to ascertain their views on the statistics and to identify their needs, and 2) investigate whether the statistics in their present form continue to meet user needs, and identify options for change. As part of the review, a user consultation exercise is carried out to identify whether user needs are met by the statistics, as well as to ascertain users’ views on the European Statistical System (ESS) key dimensions of the quality of the statistics. This review of building construction statistics will facilitate statistical information to be presented in a more comprehensive manner, with sufficient detail, highly reliable in terms of quality and responsive to dynamic changes of the sector (such as inflation and structural adjustment policies).     

Sex in an Imperial war zone: transnational encounters in Second World War India

This article suggests how the waging of war in an imperial setting may have reshaped military and civilian relations in India from 1939-45. The number of troops stationed in India had repercussions for society and local politics. The article investigates widespread prostitution as one aspect of the gendered wartime economy. Indian prostitution was closely linked to militarization and to the effects of the 1943 Bengal famine. The article also argues this was symptomatic of a more far-reaching renegotiation of the interactions between men and women in the Indian Empire of the 1940s. Other Indian, European, North American and Anglo-Indian women worked as nurses, with the Red Cross and in a variety of roles towards the war effort. Women were subject to new social and sexual demands due to the increased numbers of troops stationed in India in the 1940s.     

On Properties of Predictive Priors in Linear Models

Utilizing the notion of matching predictives as in Berger and Pericchi, we show that for the conjugate family of prior distributions in the normal linear model, the symmetric Kullback-Leibler divergence between two particular predictive densities is minimized when the prior hyperparameters are taken to be those corresponding to the predictive priors proposed in Ibrahim and Laud and Laud and Ibrahim. The main application for this result is for Bayesian variable selection.     

Structured measurement error in nutritional epidemiology: applications in the Pregnancy, Infection, and Nutrition (PIN) Study

Preterm birth, defined as delivery before 37 completed weeks' gestation, is a leading cause of infant morbidity and mortality. Identifying factors related to preterm delivery is an important goal of public health professionals who wish to identify etiologic pathways to target for prevention. Validation studies are often conducted in nutritional epidemiology in order to study measurement error in instruments that are generally less invasive or less expensive than "gold standard" instruments. Data from such studies are then used in adjusting estimates based on the full study sample. However, measurement error in nutritional epidemiology has recently been shown to be complicated by correlated error structures in the study-wide and validation instruments. Investigators of a study of preterm birth and dietary intake designed a validation study to assess measurement error in a food frequency questionnaire (FFQ) administered during pregnancy and with the secondary goal of assessing whether a single administration of the FFQ could be used to describe intake over the relatively short pregnancy period, in which energy intake typically increases. Here, we describe a likelihood-based method via Markov Chain Monte Carlo to estimate the regression coefficients in a generalized linear model relating preterm birth to covariates, where one of the covariates is measured with error and the multivariate measurement error model has correlated errors among contemporaneous instruments (i.e. FFQs, 24-hour recalls, and/or biomarkers). Because of constraints on the covariance parameters in our likelihood, identifiability for all the variance and covariance parameters is not guaranteed and, therefore, we derive the necessary and suficient conditions to identify the variance and covariance parameters under our measurement error model and assumptions. We investigate the sensitivity of our likelihood-based model to distributional assumptions placed on the true folate intake by employing semi-parametric Bayesian methods through the mixture of Dirichlet process priors framework. We exemplify our methods in a recent prospective cohort study of risk factors for preterm birth. We use long-term folate as our error-prone predictor of interest, the food-frequency questionnaire (FFQ) and 24-hour recall as two biased instruments, and serum folate biomarker as the unbiased instrument. We found that folate intake, as measured by the FFQ, led to a conservative estimate of the estimated odds ratio of preterm birth (0.76) when compared to the odds ratio estimate from our likelihood-based approach, which adjusts for the measurement error (0.63). We found that our parametric model led to similar conclusions to the semi-parametric Bayesian model.     

Best linear unbiased and invariant estimation in location-scale families based on double-ranked set sampling

Abstract

In this article, we propose the best linear unbiased estimators (BLUEs) and best linear invariant estimators (BLIEs) for the unknown parameters of location-scale family of distributions based on double-ranked set sampling (DRSS) using perfect and imperfect rankings. These estimators are then compared with the BLUEs and BLIEs based on ranked set sampling (RSS). It is shown that under perfect ranking, the proposed estimators are uniformly better than the BLUEs and BLIEs obtained via RSS. We also propose the best linear unbiased quantile (BLUQ) and the best linear invariant quantile (BLIQ) estimators for normal distribution under DRSS. It is observed that the proposed quantile estimators are more efficient than the BLUQ and BLIQ estimators based on RSS for both perfect and imperfect orderings.