Imputation procedures for categorical data: their effects on the goodness-of-fit chi-square statistic

An imputation procedure is a procedure by which each missing value in a data set is replaced (imputed) by an observed value using a predetermined resampling procedure. The distribution of a statistic computed from a data set consisting of observed and imputed values, called a completed data set, is affecwd by the imputation procedure used. In a Monte Carlo experiment, three imputation procedures are compared with respect to the empirical behavior of the goodness-of- fit chi-square statistic computed from a completed data set. The results show that each imputation procedure affects the distribution of the goodness-of-fit chi-square statistic in 3. different manner. However, when the empirical behavior of the goodness-of-fit chi-square statistic is compared u, its appropriate asymptotic distribution, there are no substantial differences between these imputation procedures.     

Transition from school for youths with a disability: issues and challenges

Australian research has demonstrated that students with a disability are more likely to remain out of the full‐time workforce. These research findings have been the catalyst for a call for a comprehensive career development and transition planning approach for all students with disabilities in schools as well as for employers to rethink the role of people with disabilities in the workforce. In the Australian context the transition from school for individuals with a disability is complicated by a disparate and fragmented group of service agencies providing a range of services, including employment, supported accommodation, recreation and leisure pursuits, as well as training and placement, along with, at times, a deep‐seated prejudice towards people with disabilities in the market place. This paper reviews a number of issues and challenges confronting individuals with a disability making the transition from school to the post‐school environment.     

Into the divide: community identities and the visualisation of place

This article discusses the experience of place in a profoundly divided urban area of Sheffield. At a time when the gap between affluence and poverty has reached its widest point since the 1960s, this article explores the relationship between individuals and their sense of place and of the trenchant divisions separating communities. The study employs various methods but centres upon the use of hand-drawn maps; creating a dialogue between the interviewers and a number of local residents. These maps and the accompanying commentaries demonstrate the diverse individual sense of a particular place and a dialectical sense of space. The resulting picture is one of both the persistence of historical divisions, suggesting regulation and control through planning and policing, but also of complex entanglements of social identities, habitus and place which defy easy categorisation.     

Rational exchange and trust: Business relationships in a fishing community

This paper assesses the hypothesis that in markets where information is lacking concerning the price and the quality of a commodity and the commodity is variable in its supply, sellers will tend to form long‐term, stable relationships with buyers. Data from a coastal Alabama community are used to test the nature of exchange relations between commercial shrimp fishers and the dealers to whom they sell. It is further hypothesized that the social aspects of these exchanges will better predict stable relationships than will economic aspects. The evidence presented supports the stated hypotheses. Finally, the relevance of this research for social theory is discussed.     

Reply

This article develops a new identification procedure to estimate the contemporaneous relation between monetary policy and the stock market within a vector autoregression (VAR) framework. The approach combines high-frequency data from the futures market with the VAR methodology to circumvent exclusion restrictions and achieve identification. Our analysis casts doubt on VAR models imposing a recursive structure between innovations in policy rates and stock returns. We find that a tightening in policy rates has a negative impact on stock prices and that the Federal Reserve (Fed) has responded significantly to movements in the stock market. Estimates are robust to various model specifications.     

The nature,extent and determinants of violence against psychiatric personnel

Violence against psychiatric staff seems to be on the increase. Such abuse can lead to mental health consequences for the staff and a reluctance to be closely involved with patients. Few Swedish investigations have examined violence against mental nurses and psychiatrists, or undertaken comparative studies between them. In this study we examined the extent, nature and determinants (i.e. risk factors) of violence against psychiatric nurses (n = 731) and psychiatrists (n = 320) working in the eight health care districts of Stockholm. These caregivers were assessed cross-sectionally by means of a questionnaire covering various areas (e.g. violence and work environment). The majority of the participants (85%) reported having been exposed to violence during their careers, with 57% being victimized in the past 12 months. Physical violence was common, and factors such as negative attitudes to work and diminished sense of autonomy were associated with an increased vulnerability to violence. Nurses and psychiatrists did not differ in violence variables. In spite of the weaknesses of the design (cross-sectional self-selecting sample), this study corroborates previous findings and identifies personal factors associated with violence that have received little attention in the literature (e.g. lack of respect for the organization of care).     

‘Show me the money and the party!’ – variation in Facebook and Twitter adoption by politicians

Our study explores the adoption of Facebook and Twitter by candidates in the 2013 German Federal elections. Utilizing data from the German Longitudinal Election Study candidate survey fused with data gathered on the Twitter and Facebook use of candidates, we draw a clear distinction between Facebook and Twitter. We show that adoption of both channels is primarily driven by two factors: party and money. But the impact of each plays out differently for Facebook and Twitter. While the influence of money is homogenous for Facebook and Twitter with the more resources candidates have, the more likely they are to adopt, the effect is stronger for Facebook. Conversely, a party’s impact on adoption is heterogeneous across channels, a pattern we suggest is driven by the different audiences Facebook and Twitter attract. We also find candidates’ personality traits only correlate with Twitter adoption, but their impact is minimal. Our findings demonstrate that social media adoption by politicians is far from homogenous, and that there is a need to differentiate social media channels from one another when exploring motivations for their use.