Social media adoption among Turkish public relations professionals: A survey of practitioners

Social media is emerging as an important public relations tool and empowers two way symmetrical communications with publics and stakeholders. PR professionals are confronted with the swift rise of social media that forces practitioners to pay due and timely attention. They are not only excited about utilizing these tools together with conventional media, but are also excited about speaking directly to their publics and stakeholders without the involvement of any intermediaries. Through the perspective of UTAUT model, this paper examines the social media adoption of PR professionals in Turkey and how they employ social media tools both internally and externally. We employed a web-based questionnaire to 126 PR professionals who are members of the Turkish Public Relations Association. Findings reveal that Turkish PR professionals highly appreciate the importance of social media in recent PR practice. However, not all social media tools are equally adopted; e-mail is the most, and virtual world applications are the least adopted social media. It is also found that in the future, social networks are expected to be the most important social media, while corporate web sites get the second and mobile phone (PDA) applications get the third rank.     

Cognitive-Affective Processing System Analysis of Reactions to the O. J. Simpson Criminal Trial Verdict

Reactions to the O. J. Simpson verdict were analyzed using the Cognitive-Affective Processing System (CAPS) model. Content analyses of participants' open-ended reactions to the verdict revealed that differences in the accessibility of cognitive-affective units and their subsequent activation pathways characterized respondents' reactions, but participants' race appeared to have no direct effect. The results were used to construct cognitive-affective domain maps that underlay elated, dismayed, and ambivalent reactions. By promoting a deeper understanding and appreciation of reactions to the verdict, we believe the domain maps facilitate overcoming the widespread tendency to attribute the cause of divergent reactions to an individual's race. The results have implications for the understanding of cultural differences.     

How to Reduce the Impact of Equivalence Scales on Poverty Measurement: Evidence from Turkey

The main aim of the paper is to contribute to the poverty measurement literature by demonstrating a method to reduce the impact of equivalence scales in poverty measurement. This is accomplished by choosing the most appropriate reference household type. The results showed that one adult household is certainly not suitable for being the reference household type. When one adult household is set as the reference, in the range of no equivalence scale and per capita equivalence scale, poverty head count ratio changes from 1 to 48 %, showing the huge effect of the equivalence scale choice. Also the analyses at household size level showed that one adult household type is not convenient to be the reference household type. On the other hand, no clear distinction could be made between central household types, but the importance of choosing a household type close to the center was demonstrated for Turkish data.     

Suggestions for assessment of muscle mass in primary care setting

Sarcopenia is one of the prevalent geriatric syndromes that adversely affects the functionality in the older adults. The diagnosis of sarcopenia requires documentation of decreased muscle mass and decreased muscle strength or physical function. The implication of user-friendly and inexpensive methods that could be used to assess sarcopenia in real-life settings is suggested in a recent debate paper. For muscle mass assessment, bioelectric impedance analysis (BIA), and dual-energy X-ray absorptiometry (DXA) were described as having the same ease for muscle mass assessment in terms of applicability. However, BIA is easier to perform, has greater availability, inexpensive, and does not require specialist trained staff. The authors proposed the use of DXA as primary tool to assess muscle mass in the primary care setting. However, BIA is recommended as a first-line method both in research and clinical practice by EWGSOP. Regarding its much easier applicability, we conclude that BIA is a more practical method for muscle mass assessment in the primary care setting than the DXA. Thus, we suggest that BIA could be the method of choice for muscle mass assessment in the primary care setting.     

A Contextual Approach to the Development of Self-regulatory Competencies: The Role of Maternal Unresponsivity and Toddlers' Negative Affect in Stressful Situations

A prospective study examined the effects of maternal unresponsivity and of toddlers’ own negative affect on the child's subsequent ability to use effective attentional control strategies in preschool. Maternal and child behaviors were measured in situations that varied in the level of stress to test the hypothesis that behaviors in high stress situations would be more diagnostic of children's subsequent self‐regulatory behavior. As predicted, both maternal unresponsivity and toddlers’ negative affect, particularly in a high stress as opposed to a low stress situation, predicted children's later use of ineffective attentional control strategies. Similarly, maternal disengagement that occurred contingent to toddlers’ distress predicted ineffective attentional control strategies whereas maternal disengagement in response to toddlers’ non‐distress behaviors did not. The findings supported the utility of a contextual approach to understanding the impact of maternal and child characteristics on the development of self‐regulatory skills.     

Asymptotic approach for a renewal-reward process with a general interference of chance

ABSTRACT

In this study, a renewal-reward process with a discrete interference of chance is constructed and considered. Under weak conditions, the ergodicity of the process X(t) is proved and exact formulas for the ergodic distribution and its moments are found. Within some assumptions for the discrete interference of chance in general form, two-term asymptotic expansions for all moments of the ergodic distribution are obtained. Additionally, kurtosis coefficient, skewness coefficient, and coefficient of variation of the ergodic distribution are computed. As a special case, a semi-Markovian inventory model of type (s, S) is investigated.     

Preventing Child Sexual Abuse: Body Safety Training for Young Children in Turkey

The “Body Safety Training Program” is an education program aimed at ensuring children are informed about their body and acquire self-protection skills. In this study, a total of 83 preschoolers were divided into experimental and control groups; based on a power analysis, 40 children comprised the experimental group, while 43 children comprised the control group. The “Body Safety Training Programme” was translated into Turkish and content validity was determined regarding the language and cultural appropriateness. The “What If Situations Test” (WIST) was administered to both groups before and after the training. Mann–Whitney U Test, Kruskal–Wallis Variance Analysis, and the Wilcoxon Signed Ranks Test were used to compare between the groups and the Spearman correlation analysis was used to determine the strength of the relationship between the dependent and independent variable. The differences between the pretest and posttest scores for the subscales (appropriate recognition, inappropriate recognition, say, do, tell, and reporting skills), and the personal safety questionnaire (PSQ) score means for the children in the experimental group were found to be statistically significant (p < .001). The posttest–pretest difference score means of the experimental group children for WIST saying, doing, telling and reporting, total skills, and PSQ were found to be statistically significant as compared to that of the control group (p < .05). The “Body Safety Training programme” is effective in increasing the child sexual abuse prevention and self-protection skills in Turkish young children.     

Marginalized transition random effect models for multivariate longitudinal binary data

Generalized linear models with random effects and/or serial dependence are commonly used to analyze longitudinal data. However, the computation and interpretation of marginal covariate effects can be difficult. This led Heagerty (1999, 2002) to propose models for longitudinal binary data in which a logistic regression is first used to explain the average marginal response. The model is then completed by introducing a conditional regression that allows for the longitudinal, within‐subject, dependence, either via random effects or regressing on previous responses. In this paper, the authors extend the work of Heagerty to handle multivariate longitudinal binary response data using a triple of regression models that directly model the marginal mean response while taking into account dependence across time and across responses. Markov Chain Monte Carlo methods are used for inference. Data from the Iowa Youth and Families Project are used to illustrate the methods.     

Estimating Box-Cox power transformation parameter via goodness-of-fit tests

Box–Cox power transformation is a commonly used methodology to transform the distribution of the data into a normal distribution. The methodology relies on a single transformation parameter. In this study, we focus on the estimation of this parameter. For this purpose, we employ seven popular goodness-of-fit tests for normality, namely Shapiro–Wilk, Anderson–Darling, Cramer-von Mises, Pearson Chi-square, Shapiro-Francia, Lilliefors and Jarque–Bera tests, together with a searching algorithm. The searching algorithm is based on finding the argument of the minimum or maximum depending on the test, i.e., maximum for the Shapiro–Wilk and Shapiro–Francia, minimum for the rest. The artificial covariate method of Dag et al. (2014) is also included for comparison purposes. Simulation studies are implemented to compare the performances of the methods. Results show that Shapiro–Wilk and the artificial covariate method are more effective than the others and Pearson Chi-square is the worst performing method. The methods are also applied to two real-life datasets. The R package AID is proposed for implementation of the aforementioned methods.     

Quality of College Life (QCL) of Students in Turkey: Students’ Life Satisfaction and Identification

Understanding the complexities of a students’ quality of life has become essential in order for universities to plan their spending most efficiently. This study tests a model which was used to judge the satisfaction of college life and evaluates the overall impact of quality of college life (social, academic, and service satisfaction), life satisfaction, and identification. Secondly, the study assesses the impact of a university’s academic program, social life, facilities, and services on the students’ college life quality in this sample in relation to similar studies from Turkey and other countries. The survey included 1,260 students attending a public university in northwestern Turkey. Measurement tools included the quality of college life scale (QCL), Satisfaction with college life scale, identification scale satisfaction with life scale and personal information form. The results show social satisfaction has the strongest positive impact on QCL. This study found that life satisfaction and university identification had a positive impact on a university student’s satisfaction with college life. According to survey results it is also suggested that University administrators can primarily focus on improving the social satisfaction of the students then improve facilities and services, in order to raise academic satisfaction levels.