Advancements in research synthesis methods: From a methodologically inclusive perspective

The dominant literature on research synthesis methods has positivist and neo-positivist origins. In recent years, the landscape of research synthesis methods has changed rapidly to become inclusive. This article highlights methodologically inclusive advancements in research synthesis methods. Attention is drawn to insights from interpretive, critical, and participatory traditions for enhancing trustworthiness, utility, and/or emancipatory potential for research syntheses. Also noted is a paucity of the literature that builds connections between methodologically diverse segments of the literature on research synthesis methods. Salient features of a methodologically inclusive research synthesis (MIRS) framework are described. The MIRS framework has been conceptualized by distilling and synthesizing ideas, theories, and strategies from the extensive literatures on research synthesis methods and primary research methods. Rather than prescribe how a research synthesis should be conducted or evaluated, this article attempts to open spaces, raise questions, explore possibilities, and contest taken-for-granted practices.

Corporate social responsibility in professional team sport organisations : towards a theory of decision-making

Research question: 

Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis

Depression afflicts one in four people during their lives. Several studies have shown that for the isolated and mentally ill, the Web and social media provide effective platforms for supports and treatments as well as to acquire scientific, clinical understanding of this mental condition. More and more individuals affected by depression join online communities to seek for information, express themselves, share their concerns and look for supports [12]. For the first time, we collect and study a large online depression community of more than 12,000 active members from Live Journal. We examine the effect of mood, social connectivity and age on the online messages authored by members in an online depression community. The posts are considered in two aspects: what is written (topic) and how it is written (language style). We use statistical and machine learning methods to discriminate the posts made by bloggers in low versus high valence mood, in different age categories and in different degrees of social connectivity. Using statistical tests, language styles are found to be significantly different between low and high valence cohorts, whilst topics are significantly different between people whose different degrees of social connectivity. High performance is achieved for low versus high valence post classification using writing style as features. The finding suggests the potential of using social media in depression screening, especially in online setting.

To shut them up or to clarify: restraining the spread of rumors in online social networks

Restraining the spread of rumors in online social networks (OSNs) has long been an important but difficult problem to be addressed. Currently, there are mainly two types of methods 1) blocking rumors at the most influential users or community bridges, or 2) spreading truths to clarify the rumors. Each method claims the better performance among all the others according to their own considerations and environments. However, there must be one standing out of the rest. In this paper, we focus on this part of work. The difficulty is that there does not exist a universal standard to evaluate them. In order to address this problem, we carry out a series of empirical and theoretical analysis on the basis of the introduced mathematical model. Based on this mathematical platform, each method will be evaluated by using real OSN data.We have done three types of analysis in this work. First, we compare all the measures of locating important users. The results suggest that the degree and betweenness measures outperform all the others in the Facebook network. Second, we analyze the method of the truth clarification method, and find that this method has a long-term performance while the degree measure performs well only in the early stage. Third, in order to leverage these two methods, we further explore the strategy of different methods working together and their equivalence. Given a fixed budget in the real world, our analysis provides a potential solution to find out a better strategy by integrating both types of methods together. From both the academic and technical perspective, the work in this paper is an important step towards the most practical and optimal strategies of restraining rumors in OSNs.

Is there long-run equilibrium in the house prices of Australian capital cities?

In order to explore the long-run equilibrium in the house prices of different cities, studies on house price convergence have been conducted by a number of researchers. However, the majority of previous studies have neglected the effects of spatial heterogeneity and autocorrelation on house prices. This research improves on the investigation of house price convergence by developing a spatio-temporal autoregressive model based on a framework of panel regression methods. Both spatial heterogeneity and autocorrelation of house prices in different cities are taken into account. Geographical distance and the scale of development of the urban housing market are used to construct temporal varying spatial measurements. The spatio-temporal model is then applied to investigate the long-run equilibrium in the house prices of Australian capital cities. The results confirm that house prices in Sydney approach a steady state in the long run, whereas house prices in Brisbane, Canberra, Melbourne and Perth are able to do with lower confidence. However, little evidence supports the existence of long-run equilibrium in the house prices of Adelaide, Darwin and Hobart.

Choosing foods for infants: a qualitative study of the factors that influence mothers

BACKGROUND: Examining the experiences of parents making food choices for infants is important because ultimately this influences what infants eat. Infancy is a critical period when food preferences and eating behaviour begin to develop, shaping dietary patterns, growth and health outcomes. There is limited evidence regarding what or why foods are chosen for infants. OBJECTIVE: To describe the experiences of mothers making food choices for their infant children. METHODS: Semi-structured interviews with 32 Australian mothers of infants aged four to 15 months from a range of socioeconomic backgrounds. An inductive thematic analysis through a process of constant comparison was conducted on transcribed interviews. RESULTS: Mothers described many ideas and circumstances which influenced food choices they made for infants. Themes were developed which encapsulate how the wider environment and individual circumstances combine to result in the food choices made for infants. Beliefs, values, norms and knowledge were a central influence on choices. Cost, quality and availabilities of various foods were also key factors. Related to this, and combined with inherent factors such as perishability and infant acceptability, fresh fruits and vegetables were often singled out as an easy or difficult choice. Influences of time, parents' capacities, social connections and different information sources were clearly apparent. Finally infants' own preferences and how parents helped infants with learning to eat were also key influences on food choices. CONCLUSIONS: Choosing foods for infants is a complex social practice. An ecological framework depicting the multiple influences on what people eat and sociological theory on food choice regarding the role of 'social structure' and 'human agency' are both applicable to the process of choosing foods for infants. Equity issues may be key regarding the degree to which mothers can choose particular foods for infants (e.g. choosing foods which promote health).

Research productivity and academics’ conceptions of research

This paper asks the question: do people with different levels of research productivity and identification as a researcher think of research differently? It discusses a study that differentiated levels of research productivity among English and Australian academics working in research-intensive environments in three broad discipline areas: science, engineering and technology; social science and humanities; and medicine and health sciences. The paper explores the different conceptions of research held by these academics in terms of their levels of research productivity, their levels of research training, whether they considered themselves an active researcher and a member of a research team, and their disciplinary differences.

Production of solidarities in YouTube: a visual study of Uyghur nationalism

The uprising in Tibet, which gained the attention of the global media during the preparation for the Beijing Olympics in 2008, and the ethnic riots in Xinjiang in 2009 showed Western audiences the extent of the ethnic conflict between China’s Han ethnic majority and its ethnic minority groups, the Uyghurs being one of them. In the late twentieth century, Uyghur diaspora communities formed their own cultural and political associations in Central Asia, Russia, Turkey, Europe, and North America, while Uyghur political activists have been increasingly using the Internet for spreading political messages promoting Uyghur national ideas. Among their efforts, different Uyghur organizations and individuals have created YouTube channels in order to generate interest in the Uyghur question, to internationalize Xinjiang issues, and to seek support from a variety of audiences. The aim of this research is to examine the structure of political communication about the Han–Uyghur conflict on YouTube, taking into consideration the contents of the videos and available information about authors and audiences. This study combines quantitative and qualitative methods of data analysis and offers insights into how the Internet is used by dispersed political actors within a framework of a single nationalist movement. It also provides a unique window into ethnic relations in Xinjiang and elucidates on how ethnic minority and transnational activist networks search for discourses that could serve as the basis for ethnic mobilization.

Bridging the divide: measuring party system change and classifying party systems

Party systems research has proceeded along two parallel lines of inquiry, one predominantly “qualitative” and the other “quantitative.” This article attempts to bridge this divide in two ways. First, by showing that qualitative information can be valuable in the construction of quantitative measures. Second, by showing that the results from applying theoretically sensitive measurement tools can be useful for qualitative classification. These analyses are performed using an original dataset of party system changes in Sub-Saharan Africa.