What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.     

Computationally and statistically efficient model fitting techniques

A significant challenge in fitting metamodels of large-scale simulations with sufficient accuracy is in the computational time required for rigorous statistical validation. This paper addresses the statistical computation issues associated with the Bootstrap and modified PRESS statistic, which yield key metrics for error measurements in metamodelling validation. Experimentation is performed on different programming languages, namely, MATLAB, R, and Python, and implemented on different computing architectures including traditional multicore personal computers and high-power clusters with parallel computing capabilities. This study yields insight into the effect that programming languages and computing architecture have on the computational time for simulation metamodel validation. The experimentation is performed across two scenarios with varying complexity.     

Sarah's birth. How the medicalisation of childbirth may be shaped in different settings: Vignette from a study of routine intervention in Jeddah,Saudi Arabia

Background

The expansion of the medicalisation of childbirth has been described in the literature as being a global phenomenon. The vignette described in this paper, selected from an ethnographic study of routine intervention in Saudi Arabian hospitals illustrates how the worldwide spread of the bio-medical model does not take place within a cultural vacuum.

Birth preference in women undergoing treatment for childbirth fear: A randomised controlled trial

Background

Childbirth fear is the most common underlying reason for requesting a caesarean section without medical reason. The aim of this randomised controlled study was to investigate birth preferences in women undergoing treatment for childbirth fear, and to investigate birth experience and satisfaction with the allocated treatment.

Exploring the intention-behavior relationship in the prediction of sexual risk behaviors: can it be strengthened?

Many theoretical models examining health risk behaviors, such as sexual risk taking, assume intentions directly predict behavior, and intentions are sometimes measured as a proxy for behavior. Given that there is often a discrepancy between intentions and behaviors (e.g., Sheeran, 2002 ), this study addressed factors that predict intention-behavior congruence. Specifically, utilizing a prospective design, the goal of the study was to determine if characteristics of university students' last sexual encounter predicted whether those students who intended to use condoms, contraception, or dual methods did so in their last sexual encounter with both relationship and casual partners. The seven tested variables were condom planning and preparatory behaviors, mood, sexual arousal, substance use, perceived partner attractiveness, intention certainty, and intention stability. Data were collected from 520 American undergraduate students at a medium-sized university. The six discriminant function analyses examining the intention-behavior relationship were able to correctly classify between 74% and 92% of the participants concerning whether intenders engaged in safe sex behaviors. The variables that best discriminated between behavior engagement over the six analyses were intention stability, intention certainty, and engagement in condom preparatory behaviors. The implications of these results for sexual risk prevention and intervention research are discussed.     

Enclosed versus open nursing stations in adult acute care psychiatric settings: does the design affect the therapeutic milieu?

Specific efforts by hospital accreditation organizations encourage renovation of nursing stations, so nurses can better see, attend, and care for their patients. The purpose of this study was to examine the effect of nursing station design on the therapeutic milieu in an adult acute care psychiatric unit. A repeated cross-sectional, pretest-posttest design was used. Data were collected from a convenience sample of 81 patients and 25 nursing staff members who completed the Ward Atmosphere Scale. Pretest data were collected when the unit had an enclosed nursing station, and posttest data were collected after renovations to the unit created an open nursing station. No statistically significant differences were found in patient or staff perceptions of the therapeutic milieu. No increase in aggression toward staff was found, given patients' ease of access to the nursing station. More research is needed about the impact of unit design in acute care psychiatric settings.