“Order three advertisements and get one news story free”: Public relations ethics practices of Turkish and international companies in Turkey

This study investigates the ethics of communication in print media in Turkey by exploring the potential incidences of publishing custom-made news stories and editorials by newspapers and magazines about Turkish and international businesses for promoting their advertising space. The study establishes that the incidence of corresponding news stories or editorials in newspapers and magazines and related paid advertisements increased by more than 100% between 1994 and 2004. In the second stage of the research, key informant interviews reveal that, in general, business officials and media executives have a teleological view of ethics.     

Practical bayesian approaches to the analystcs of a 2×2 contingency table with incompletely categorized data

To assess the efficacy of a treatment, patients are administered a pre-test, the treatment, and a post-test (identical to the pre-test). These patients are then categorized according to their outcomes observed on both tests,e.g., (S,S), (S,F), etc. Also, we observe "incomplete" information on the pre-tests' outcomes for some patients and the results of only the post-test being known for thers, A Bayesian framework is fit to the problem and Bayes factors, posterior odds ratios, and utility functions are given to evaluate th e treatment, A method of assessing the prior distribution is specified and a numerical example is worked.     

Liu-Type Logistic Estimator

It is known that multicollinearity inflates the variance of the maximum likelihood estimator in logistic regression. Especially, if the primary interest is in the coefficients, the impact of collinearity can be very serious. To deal with collinearity, a ridge estimator was proposed by Schaefer et al. The primary interest of this article is to introduce a Liu-type estimator that had a smaller total mean squared error (MSE) than the Schaefer's ridge estimator under certain conditions. Simulation studies were conducted that evaluated the performance of this estimator. Furthermore, the proposed estimator was applied to a real-life dataset.     

Daily perceptions of relationship quality with leaders: implications for follower well-being

ABSTRACT

We examined how a key relationship at work, an employee’s relationship with their leader, affects employee daily well-being. In a study of 129 employees across a variety of industries, we examined how follower perceptions of their daily leader–member exchange (LMX) quality across a workweek influenced their well-being (n?=?468 observations). Results provided general support for our hypotheses. Specifically, we found that on days when employees perceived a higher quality LMX relationship with their leader, they were more likely to report a sense of belongingness, which was then positively associated with daily reports of vigor and negatively associated with emotional exhaustion. Lagged analyses showed that perceptions of LMX quality were also negatively associated with reports of emotional exhaustion the following workday suggesting that these effects may persist over time. Finally, we found that day-to-day variation in reports of LMX quality attenuated the beneficial effects of LMX on relatedness and vigor supporting our hypothesis that uncertainty related to resource availability may contribute to a threat mindset focused on resource conservation rather than engagement. Implications and future research on leadership and employee well-being are discussed.     

Comparison of Urban Housing Satisfaction in Modern and Traditional Neighborhoods in Edirne,Turkey

Numerous cross-cultural studies have focused on certain aspects of urban housing conditions and their social consequences. However, most data on housing satisfaction is restricted to Western countries. Relatively little comparison has been made between these findings and those in developing areas where rapid urbanization is occurring and where concomitant problems in urban housing are emerging. Moreover, since primary cities of developing countries in the initial stage of economic development have received extensive attention in urban housing research, it would be interesting to examine a non-primary city where relatively good standards of living have been achieved. Thus, this study investigates people’s housing satisfaction in modern and historical neighborhoods. This paper addresses some conceptual and measurement issues related to the study of housing satisfaction. We build a conceptual model, which links the multiple dimensions of housing satisfaction, measured by a modified version of Bardo and Dokmeci’s (1992, Genetic, Social and General Psychology Monographs 118(3)) housing satisfaction scale, in a causal sense. An empirical examination of the model in traditional and modern neighborhoods reveals that social and environmental living conditions positively influence overall housing satisfaction. The results also indicate that the drivers of the social and environmental living conditions constructs differ between traditional and modern neighborhoods.     

A bayesian analysis of the multinomial model for a dichotomous response with nonrespondents

This paper studies the mu1tinomial model 2x2 contingency table data with some cell counts missing .Various hypotheses of interest including row-column independence are tested by using Bayes factors which represent the ratio of the posterior odds to the prior odds for the null hypothesis. The Dirichlet-Beta family of prior distributions is considered for the multinomial parameters cond itional on the complement of the null hypothesis. The Bayes factor for the incomplete data is a mixture of the Bayes factors for different possibilities for the full data.     

A bayesian comparison of randomized and voluntary response sampling models

This paper is concerned with making a Bayesian comparison between the two types of survey sampling procedures where the individuals are asked sensitive questions. The randomized response procedure is designed to obtain information in such a way that the respondent is protected against revealing his/her status about the sensitive issue. In voluntary response model each individual chooses either to respond or not to respond. It is assumed that the respondents do not falsify their answers. The problem of interest is to estimate the proportion of the sampled population who belong to the sensitive group. A beta prior distribution is used for the proportion of interest. The loss function is taken to be the quadratic loss function.     

Prediction of bankruptcy using support vector machines: an application to bank bankruptcy

The purpose of this study was to apply support vector machines (SVMs) to bank bankruptcy analysis using practical steps. Although the prediction of the financial distress of companies is done using several statistical and machine learning techniques, bank classification and bankruptcy prediction still need to be investigated because few investigations have been conducted in this field of banking. In this study, SVMs were implemented to analyse financial ratios. Data sets from Turkish commercial banks were used. This study shows that SVMs with the Gaussian kernel are capable of extracting useful information from financial data and can be used as part of an early warning system.