See instructions Statistics Project Example | Topics and Well Written Essays - 500 words

See instructions - Statistics Project Example of interest in analyzing and strategizing on how to minimize the future occurrence of the occupational assaults and the impacts it has on the nursing staff. I was very keen on the previous findings in this study. In this article, the main aim was to add the prevalent data to the established literature and review other relevant articles in this field. The article is outstanding as it explores the issues that are related to the occupational health and the safety for the mental health nurses which is regarded as the occupational violence. In this appraisal study, research was carried out due to the recognition of the international nursing council about the increased violence in nursing. This was also supported by various studies in industries in Australia about the violence in the nursing industry that occurred on a weekly basis. From the report, the problem has become international as it affects all the nurses in the world. Furthermore, the study reveals that that violence in nursing is affected by several factors and other environmental factors. Thus, the study centered on demographics in the prevalence in relation to age, workplace, and gender as far as occupational violence is concerned. The article also centers on the perception of the staff in the management of occupational violence. In the article, ethical considerations were taken seriously as it was approved by the human research ethics committee. The study also involved a descriptive survey as it involved the nurses from both the psychiatric and the community based departments. The study was effective as it developed a questionnaire that was very comprehensive in its analysis. Finally, I would like to congratulate Mc Kinnon and cross for their analytical work in this article. Therefore, it is with gratitude that they may release another edition that focuses on nursing problems. McKinnon, B., Cross, W. (2008). Occupational violence and assault in mental health nursing: A scoping project for a Victorian

Variation in Real Estate Prices and Macroeconomic Performance Assignment

Variation in Real Estate Prices and Macroeconomic Performance - Assignment Example The performance of the housing sector significantly affects the general economy’s performance. Most theories, however, presume that it is only the macroeconomic factors that affect the variations in house prices and not the reverse. According to the vector autoregressive (VAR) model built by Baffoe - Bonnie, there are complete relations between the housing sector and the general economy (Case et al. 15). The theory asserts that macroeconomic variables usually cause cycles in the prices of houses and the number of houses sold. If not brought to control, these effects may have adverse implications on the economy. Historically, changes in the prices of the real estate have been linked to changes in consumption in various ways. In the past, the slump in housing led to many empty houses and growing joblessness. Uncertainty about the consequences of declining home prices was also common in the past years. In the past - just like today, consumption or rather spending has been subject to people’s income. Economists Karl E. Case, John M. Quigley and Robert J. Shiller made annual observations in 14 countries since the past 25 years and in some U.S. states quarterly in the 1980s and 1990s. Their observation was that some the future incomes were kept in the assets, stocks, bonds, and property, where most people keep their riches (Case et al. 15). A drop in asset values made many homeowners poorer, so they lowered their expenditure and raised savings. When the assets grew, they spent more. The theoretical arguments of the vector autoregressive (VAR) model are thus valid. Economists have varying opinions on the consequences of varying house prices among the consumers. According to Carroll et al. (69), they disagree as to whether Americans will reduce their spending slowly or rapidly. On one side optimists, argue that the links between housing wealth and spending are much the same as for any other type of wealth, such as shares. They say