Why Labor Unions Were Successful Essay Example for Free

Why Labor Unions Were Successful Essay The years following the Civil War era was considered a gilded era due to the rapid economic and population growth in the United States. In this â€Å"gilded† time new inventions were being created, and factories were being revolutionized and more and more jobs were being created. With rapid population growth comes rapid growth of problems. Jobs were being created as fast as people were willing to fill them. Businesses everywhere were booming. But after a while, workers grew tired of the strict and demanding work conditions. Factory workers in this time were working in extremely poor conditions and had no power. Workers were often abused by the factory owners and their wages were cut very low. The mass immigration also did not favor the laborers as it made them so east to replace. In order to fight back, laborers would join labor unions in order to protest all these horrible conditions. Primarily, one of the important factors of the American opinion upon labor unions was the press. One of which was the New York Times (Doc. B). Often times the press was bribed by large companies in order to have favor them, hence giving labor unions a bad name. This article is about the BO railroad strike. They said it was a hopeless cause and the strikers do not even know what they wanted. (Doc. C) is another great example how the reputation of labor unions weren’t great. In the picture that Thomas Nass illustrates he is showing the laborer has killed the goose that lays the golden egg. One of these golden eggs is in his pocket and another egg is in the basket of the woman and child in the background of the illustration. This illustration is suggesting that labor unions do not know what they are doing and will regret it in the long run. Also, Nass is suggesting that the labor unions have a communist influence and that behind the labor unions is in fact communism.

Impact of Exports, Imports and Stock Exchange on Pakistan

Impact of Exports, Imports and Stock Exchange on Pakistan Impact of Exports, Imports and Stock Exchange performance on GDP of Pakistan. CHAPTER NO 1 INTRODUCTION 1.1 Background The stock market plays an important role in the economy by mobilizing domestic resources and channeling them to productive investment. This implies that it must have a significant relationship with the economy. The relationship can be seen, in general, in two ways. The first relationship views the stock market as the leading indicator of the economic activity in the country, whereas the second focuses on the possible impact the stock market may have on aggregate demand, particularly through aggregate consumption and investment. In other words, whether changes in stock market cause fluctuations in macroeconomic variables, like Consumption Expenditures, Investment Spending, Gross Domestic Product (GDP), Index of Industrial Production (IIP), etc., or are caused by these variables is an interesting issue to be examined. The former case implies that stock market leads economic activity, whereas the latter suggests that it lags economic activity. In addition to stock market another significant factors that are likely to effect on any economy around the world are imports and exports. As far as Pakistan is concerned its economy is highly reliant on the imports like industrial inputs, machinery, fuel and essential food stuffs. Pakistan major imports are petroleum, machinery, transport equipment, chemical, dyes, steel, iron, products, tea chemicals and many other products of goods and services which are not easily available in Pakistan. All the major transactions are in terms of million from the year of 2009 to 2011 having a percentage of GDP effect the economy of Pakistan. The major exports of Pakistan are the agriculture products, industrial goods, hosiery products, garments, cloth, fabrics and many other items which are excess in Pakistan Shabbir, Mahmood, Niazi, (1992). A country can avail numerous benefits from its exports. Firstly, trade expansion will bring about enhanced productivity through greater economies of scale in the export sector. Secondly, increased competition encountered in the international markets will undoubtedly provide greater incentives for technological advancement and better management, the effects of which will spill over into the non-export sectors, and thus raise the over-all productivity of the economy. Thirdly, increased export earnings will ease constraints on growth by enhancing the capacity to import essential goods, especially imports of intermediate and capital goods. In other words, export expansion promotes capital accumulation and, consequently, over-all economic growth. Fourthly, exports may have a positive imp act on productivity owing to better allocation of resources through specialization based on comparative advantage. Lastly, an export-oriented approach in a labor-surplus economy permits rapid expansion of employment and real wages. The importation and exportation of goods and services take a vigorous role in the progress of the economic development of Pakistan. It is observed that both factors import and exports help the economy to grow in the local and international market as well. Now due to energy crises the ratios of exports are very less as compared to imports. The rate of population of Pakistan is increasing day by day, which means a high increase of the demands and needs. The importation and exportation of goods and services play a dynamic role in the progress of the economy of Pakistan. It is observed that both factors import and exports help the economy to grow in the local and international market as well. Now due to energy crises the ratios of exports are very less as compared to imports. Therefore, the study will analyze the imports/exports and stock exchange growth with respect to Gross Domestic Product (GDP) of Pakistan. 1.2 Problem Statement A country like Pakistan whose economy is dependent on taking loans from International Monetary Fund (IMF) has to increase it exports and decrease its imports in order to reduce its dependency on foreign aid and loans. Moreover, owing to economic and political un stability the stock exchange of Pakistan fluctuates all over the year. Both imports/exports and stock exchange is effecting the Gross Domestic Product (GDP) of Pakistan over the years. Therefore, the study wants to find the impact of Imports/Exports and Stock exchange growth on GDP of Pakistan. 1.3 Research question What is the impact of imports, exports and stock exchange growth on GDP of Pakistan? 1.4 Research Objectives To analyze the impact of imports and exports on GDP of Pakistan. To investigate the impact of Stock exchange growth on GDP of Pakistan. 1.5 Rational of the study The study is based on the time series data from year 2001 to 2015. Data has been collected from authentic sources such as World Bank, world development index and Pakistan stock exchange. On the contrary the stock exchange performance was gathered from Pakistan stock exchange. Imports, exports and stock exchange performance will be used as independent variables and GDP will be used as dependent variable. In order to find the impact of imports, exports and stock exchange performance on GDP of Pakistan the research will use and Regression analysis. 1.6 Significance of the Study The study will be significant to the overall economic sector of Pakistan. Government can avail benefits from research findings in such a way that it can help the government while making their relevant policies for exportation and importation of goods. Furthermore, the government of Pakistan can see the fluctuations in the stock exchange growth over the years through which they can predict the stock exchange performance for years to come. All in all, the whole research will be beneficial to the relevant government sector if they want to increase the economic performance of our country. CHAPTER NO 2 LITERATURE REVIEW Following section contains viewpoints of various authors around the world and from Pakistan with respect to imports/exports and stock exchange growth on GDP of Pakistan. Literature review is an essential part of any research reason being it gives us the direct and indirect perspectives and establish a ground on which current research is taken place. It is inappropriate to conduct a new research before reviewing past research related to the topic on which we are going to conduct research. 2.1 Literature Review The empirical literature on export, import and economic growth nexus are distinguished between two stands in the methodological point of view. The à ¯Ã‚ ¬Ã‚ rst stand uses the cross-country approach in order to test the economic theory about export and economic growth nexus by using rank correlation approach, OLS method, 2SLS and random effect estimation method. These studies are supported for a positive relationship between export and economic growth McNab and Moore, (1998). The second stand uses the time series techniques. In the beginning of time series literature on export, import and growth nexus, the researchers have widely used causality methods to find out the results. Ahmad and Harnhirun, (1995) employed cointegration and error-correction modeling approach in case of à ¯Ã‚ ¬Ã‚ ve Asian countries, i.e. Indonesia, Malaysia, Philippines, Singapore and Thailand, annual data of 1966-1990 are employed. They found out bidirectional causal relationship between export and economic growth. In case of China, Shan and Sun, (1998) investigated the ELG hypothesis by using the monthly data 1987-1996. They found bidirectional relationship between export and economic growth. Lie et al. (1997) examined the long-run relationship between trade openness (exports plus imports) by using the quarterly data from 1983 to 1995. They found bidirectional relationship between trade openness and economic growth and suggested higher degree of trade openness associated with the higher level of economic growth. Narayan and Smyth, (2004) used Cointegration and error-correction method in order to check the link between real export, human capital accumulation and economic growth. They found long-run relationship only when real export is the dependent variable. Mah, (2005) the ELG is tested using the ARDL model. The results are in favor of a long-run bidirectional relationship between real GDP and export growth. Conversely, Tang (2006) reviewed the ELG hypothesis in China with import as an additional variable in the model. He used two Cointegration methods, i.e. ARDL approach to Cointegration, and JJ cointegration methods. The results of two approaches indicate no cointegration between export, import and real GDP. Herrerias and Orts, (2009) examined the relationship between the import, investment, output and productivity by using the data 1964-2004. They concluded in the long run both import and investment have promoted output and labor productivity but on the other hand neither investment causes import nor import causes investment. Muhammad Adnan Hye, (2012) conducted a research in China the purpose of this paper is to investigate the export-led growth, growth-led export, import-led growth, growth-led import and foreign deà ¯Ã‚ ¬Ã‚ cit sustainability hypothesis in the case of China, using annual time series data from 1978-2009. The results conà ¯Ã‚ ¬Ã‚ rm the bidirectional long run relationship between the economic growth and exports, economic growth and imports, and exports and imports. These à ¯Ã‚ ¬Ã‚ ndings guided the authors to conclude that the exports-led growth, growth-led exports, imports-led growth and growth-led imports hypothesis is valid, and foreign deà ¯Ã‚ ¬Ã‚ cit is sustainable for China. The long run elasticities are the elasticity of economic growth with respect to exports is 0.591, and elasticity of exports with respect to economic growth is 1.635. The elasticity of economic growth with respect to imports is 0.621, and elasticity of imports with respect to economic growth is 1.392. Fur thermore, the elasticity of exports with respect to imports is 1.322, and imports elasticity with respect to exports is 0.975. Using time-series and panel data from 1986 to 2004, Hsiao Hsiao, (2006) examines the Granger causality relations between GDP, exports, and FDI among China, Korea, Taiwan, Hong Kong, Singapore, Malaysia, Philippines, and Thailand, the eight rapidly developing East and Southeast Asian economies. After reviewing the current literature and testing the properties of individual time-series data, we estimate the VAR of the three variables to à ¯Ã‚ ¬Ã‚ nd various Granger causal relations for each of the eight economies. We found each country has different causality relations and does not yield general rules. We then construct the panel data of the three variables for the eight economies as a group and then use the à ¯Ã‚ ¬Ã‚ xed effects and random effects approaches to estimate the panel data VAR equations for Granger causality tests. The panel data causality results reveal that FDI has unidirectional effects on GDP directly and also indirectly through exports, and there also exists bidi rectional causality between exports and GDP for the group. Our results indicate that the panel data causality analysis has superior results over the time-series causality analysis. Wacziarg (2001) analyzed the association between trade policy and economic growth by taking 57 countries over the period 1970-1989 by employing fully specified empirical model. He constructed openness index with the help of three trade policy variables, tariff barrier, non-tariff barriers and a dummy variable of liberalization. The results concluded that trade openness affects growth mainly by raising the ratio of domestic investment to GDP and by FDI. Nath and Mamun (2006) investigated the causality between trade, investment and growth through Vector Auto regression (VAR) framework for the period 1971-2000 in Bangladesh. They presented that trade openness has promoted investment in Bangladesh. Although study suggested that growth causes trade but this study found little evidenced that trade affecting economic growth in Bangladesh. By employing ARDL Approach to Co-integration on two Asian countries, India and Korea, Sarkar (2005) has found no meaningful relationship between the per capita real GDP and trade openness. Although India and Korea, opened trade and shares of trade in their GDPs also rose significantly. But none of the countries experienced a positive long-term relationship between opening up and economic growth. Parikh and Stirbu (2004) used fixed effects, random effects, OLS and SURE models for panel of 42 developing countries i.e. Asia, Africa and Latin America over the period 1970-1999. They analyzed the relationship between liberalization, growth and trade balance or current account. Their results concluded that liberalization contributes significantly to economic growth, openness and investment rates. The studies dealing with the causal relationship between stock market and macro variables focus on the relationship of stock prices with consumption expenditures, investment spending, and economic activity. In these studies, the economic activity is generally measured by Gross Domestic Product. (A) Stock Prices and Consumption Expenditures The relationship between stock prices and consumption expenditures is based on the life cycle theory, developed by Ando and Modigliani (1963), which states that individuals base their consumption decision on their expected lifetime wealth. Part of their wealth may be held in the form of stocks linking stock price changes to changes in consumption expenditure. Thus, an increase in stock prices will increase the expected wealth, which, in turn, will increase the consumption expenditures, suggesting the direction of causality from stock prices to consumption expenditures. On the other hand, an increase in consumption expenditures may result in an increase in the corporate sectors earnings, which will result in higher stock prices, implying causality from consumption expenditures to stock prices. (B) Stock Prices and Investment Spending The relationship between stock prices and investment spending is based on the q theory of Tobin (1969), where q is the ratio of total market value of firms to the replacement cost of their existing capital stock at current prices. According to the theory, the firms would increase their capital stocks if q is greater than one, implying that the market value of firms is expected to rise by more than the cost of additional physical capital. Thus an increase in stock prices will result in an increase in the market value of firms, implying that firms would increase their capital stocks reflecting an increase in investment spending. Another link, though less direct, between stock prices and investment spending is based on the neoclassical or cost-of-capital model. The model assumes that firms first determine the desired stock of real capital on the basis of prices of labor, capital, and expected sales and then determine the rate of investment depending on how fast they wish to reach the desired capital stock in the face of significant adjustment cost. Thus, the expected changes in sales and planned output are the major factors affecting investments. However, as noted by Bosworth (1975), if higher earnings are implied by higher expected output that increases stock prices, then the market valuation model implicitly accounts for the effect of expected output. (C) Stock Prices and Economic Activity Finally, the relationship between stock prices and economic activity is investigated to examine the role of stock market, that is, whether it leads or lags economic activity. Moreover, the relationship of stock prices with the components of aggregate demand, consumption, and investment sometimes provide conflicting results, causing an ambiguity concerning the direction of causality between stock price changes and macro variables. As mentioned above, the economic activity is generally measured by GDP and/or IIP. In addition to above in any study of the aggregate economy, one of the key elements is the aggregate amount of goods and services produced over a certain period of time. The measure is called the nominal gross domestic product (the GDP). This is the market value of the total quantity of final goods and services produced over the specified time period. The GDP is actually measured quarterly, but the number is then multiplied by four, so that the amount is in annual terms Mankiw, (2011). The components of this measure of GDP are Consumption(C), Investment (I), Government Expenditure (G) and Net Exports (NX). Net exports represents the money value of domestically produced goods that are sold outside the country (i.e., our exports) minus the purchase of goods and services produced in other countries (i.e., our imports). Our exports are part of our domestic production, so obviously must be included. Our imports are subtracted here, because they are goods and services produced by foreign countries, but they have already been included in our consumption, investment and government expenditures. If imports increase, but all other parts of the GDP remain the same, the GDP will not change, because the imports are first included in the calculation of C + I + G, and then they are subtracted out. Thus, Y = C + I + G + NX. A large number of studies tested the Export Led Growth (ELG) hypothesis, using different econometric procedures, ranging from simple OLS to multivariate co-integration, but previous empirical studies have produced mixed and conflicting results on the nature and direction of the causal relationship between export growth and output growth. Ghatak and Price (1997) test the ELG hypothesis for India for the period 1960-1992, using exports as regressors and measure of GDP that nets out exports, along with exports and imports as additional variables. Their Cointegration tests confirm the long-run nature of this relationship. However, imports do not appear to be important for the case of India. Asafu-Adjaye et al. (1999) consider three variables: exports, real output and imports (for the period 1960-1994). They do not find any evidence of the existence of a causal relationship between these variables for the case of India and no support for the ELG hypothesis, which is not too surprising given Indias economic history and trade policies. Ramos (2001) investigates the Granger-causality between exports, imports, and economic growth in Portugal over the period 1865-1998. His empirical results do not confirm a unidirectional causality between the variables considered. There is a feedback effect between exports output growth and imports output growth. Nidugala (2001) finds evidence in support of the ELG hypothesis for the case of India, particularly in the 1980s. He finds that export growth had a significant impact on GDP growth. Further, his study reveals that growth of manufactured exports had a significant positive relationship with GDP growth, while the growth of primary exports had no such influence. Studies related to Pakistan Mukhtar, Rasheed, (2010) empirically examines the long run relationship between exports and imports for Pakistan using quarterly data for the period 1972-2006. The econometric framework used for analysis is the Johansen Maximum Likelihood Cointegration technique, which tests both the existence and the number of Cointegration vectors. Results show that there is a long run relationship between exports and imports and the country is not in violation of its international budget constraint. Furthermore, for testing the stability of long run equilibrium relationship and direction of causality, vector error correction model (VECM) technique has been applied. The findings confirm the stability of the long run equilibrium relationship between exports and imports. Under Granger causality tests, it has been found that there exists bidirectional causality between exports and imports. Ullah and Asif (2009) investigated export-led-growth by time series econometric techniques (Unit root test, Co-integration and Granger causality through Vector Error Correction Model) over the period of 1970 to 2008 for Pakistan. In this paper, the results reveal that export expansion leads to economic growth. They also checked whether there is unidirectional or bidirectional causality between economic growth, real exports, real imports, real gross fixed capital formation and real per capita income. The traditional Granger causality test suggests that there is unidirectional causality between economic growth, exports and imports. On the other hand, Granger causality through vector error correction was checked with the help of F-value of the model and t-value of the error correction term, which partially reconciles the traditional Granger causality test. After going through viewpoints of different authors it is evident that imports, exports relationship with economic development has been explained in Pakistan scenario and all over the world. However, the variables such as imports, exports and stock exchange performance are not being analyzed with respect to GDP specifically in Pakistan scenario which is the gap of the study. 2.2 Theoretical Framework Independent Variables Dependent Variables Reference: Mukhtar, T., Rasheed, S. (2010). Testing long run relationship between exports and imports: Evidence from Pakistan. Journal of Economic Cooperation and Development, 31(1), 41-58. 2.2.1 Operationalization of Variables Imports and Exports are measured as merchandise imports and exports (US $) and GDP is measured as per capita growth in percentage form Whereas, stock exchange performance is measured by market capitalization of all domestic companies registered on Pakistan stock exchange formally known as Karachi stock exchange. 2.3 Hypothesis H1:Imports, Exports and Stock exchange performance has a significant impact on Gross domestic product of Pakistan. H2: Imports, Exports and Stock exchange performance have no significant impact on Gross domestic product of Pakistan. CHAPTER NO 3 RESEARCH METHODOLOGY 3.1 Sample The sample size for this research consists of time series data of 15 years starting from 2001 to 2015. Data has been collected from authentic sources such as World Bank, world development index and Pakistan stock exchange. The research is secondary in nature because market research thats already compiled and organized for us are the examples of secondary information that includes reports and studies by government agencies, trade associations or other businesses within our industry. 3.2 Instrument and Measures Regression analysis, Anova and Coefficients of regression were the instruments that were used to measure the impact of exports, imports and stock exchange performance on Gross domestic performance of Pakistan. Furthermore, to check the validity and appropriateness of data reliability analysis was done for dependent and independent variables. 3.3 Procedure Statistical package for social sciences program SPSS version 20 was used to analyze the dependent and independent variables to see out the impact of exports, imports and stock exchange performance on GDP of Pakistan. CHAPTER NO 4 RESULTS AND DISCUSSIONS 4.1 Regression Analysis Table 4.1.1 Model Summary Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .830a .689 .681 1.72691 a. Predictors: (Constant), SE_Per, Exports, Imports Interpretation The proportion of variation in dependent variable as a result of the independent variable is given by R square. Estimated 68% variation was found out in dependent variable as a result of the independent variable. Following the adjustments made the data related to variation in dependent elements due to the independent ones is represented by R square. Table 4.1.2 ANOVAa Model Sum of Squares Df Mean Square F Sig. 1 Regression 55.198 3 27.599 91.914 .000 Residual 24.962 11 2.982 Total 80.160 14 a. Dependent Variable: GDP b. Predictors: (Constant), SE_Per, Exports, Imports Interpretation A perfect fit of the model is indicated by the ANOVA table. Furthermore, the p value of 0.000 indicates a perfect position regarding the independent and dependent variables. Table 4.1.3 Coefficients Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -.082 .220 -.876 .400 Exports .437 .073 .506 5.972 .018 Imports -.472 .103 -.390 -4.598 .027 SE_Per .094 .043 .762 2.213 .023 a. Dependent Variable: GDP Interpretation The coefficient stresses the influence of the independent variable on the dependent one. The direction in which the dependent variable is led towards by the independent one is ascertained from the Beta value. The p value is significant at less than 0.05. In our scenario all the variables that are exports, imports and stock exchange performance are significantly impacted the dependent variable that is Gross Domestic Product (GDP). But, the noteworthy thing in the results is that exports and stock exchange performance is positively impacted the GDP whereas, imports are negatively impacting the GDP of Pakistan but it is statistically significant. Hence our Hypothesis (H1) is accepted whereas H2 is rejected. CHAPTER NO 5 CONCLUSION AND RECOMMENDATIONS 5.1 Conclusion After above empirical results it has been proved that all the independent variables that are exports, imports and stock exchange performance are significantly impacted the dependent variable that is Gross Domestic Product (GDP). Hence our Hypothesis (H1) is accepted whereas H2 is rejected. In addition to our results previous studies conducted in Pakistan and outside Pakistan found out similar results such as Ullah and Asif, (2009) investigated export-led-growth by time series econometric techniques over the period of 1970 to 2008 for Pakistan. Their results reveal that export expansion leads to economic growth. However, outside Pakistan in case of our neighbor country India Asafu-Adjaye et al. (1999) consider three variables: exports, real output and imports (for the period 1960-1994). They do not find any evidence of the existence of a causal relationship between these variables for the case of India. 5.2 Recommendations Government should take strong measures to increase exports and decrease our imports. Interest free loan should be provided to the minor scale organizations to make rise in their productivity. Taxes should be cuts for the exporter country and taxes should be improved for importer companies to decrease the import. If we want to make a rapid growth in Pakistan economy, then it is necessary to reduce its imports and increase in exports. But in Pakistan the situation is reversed. The relationship between exports and economic growth is positively correlated but the relationship of imports and economic growth is negatively interrelated. If net exports are of positive value, the nation has a positive balance of trade. If they are having negative value, the nation has a negative trade balance. Lastly, our government should ensure political stability in our country as we see that whenever there is a political chaos in our country the stock market goes down and vice versa which is severely hurting Pakistans economy.

Procedure of Performing Ankle Brachial Pressure Index

Procedure of Performing Ankle Brachial Pressure Index Description I accompanied the District Nursing Team on placement to a Doppler Clinic for patients referred by their GPs to be assessed for compression bandages. I was talked through the procedure of performing Ankle Brachial Pressure Index (ABPI), which required the following equipments: Hand-held Doppler ultrasound machine; 8 MHz probe (5 MHz probe if required for large or oedematous limbs); ultrasound transducer gel; sphygmomanometer and cuff and cling film/vapour-permeable film dressing or equivalent. I was then asked to carry out the task with another nurse. I washed my hands, put on my gloves and apron. I raised the bed to my level so I could reach him. Seeking her consent, I asked the patient to remove any tight articles of clothing, which may cause pressure on the blood vessels proximal to the site where the blood pressure is being measured. I measured the brachial systolic blood pressure by selecting a sphygmomanometer cuff of an appropriate size and wrapped it around the patients upper arm just above the elbow. I palpated the brachial pulse and applied ultrasound gel. I angled the Doppler probe at 45 degrees to the direction of the blood flow (towards the heart) and adjusted the position to locate the best signal. The Doppler emitted an audible signal and inflated the sphygmomanometer cuff until the signal disappeared. I then deflated the cuff slowly and recorded the pressure at which the signal returned. I repeated this procedure using the patients other arm. I continued this procedure in measuring the ankle systolic pressure by palpating the posterior tibial artery and that of either the anterior tibial or peroneal artery. I then used the higher of these two readings to calculate the ABPI using the following equation: ABPI = highest ankle systolic pressure/highest brachial systolic pressure. I then recorded and explained the results to the patients. I thanked the patient for her cooperation. Feelings Due to the fact that I had never completed a Doppler observation before, I felt extremely anxious and uneasy. These feelings were made greater as I became more aware of being judged; not only by my mentor and other nurses but also by the patients most of whom came with their spouses. I felt the pressure more as there were other patients waiting to be seen and taking up too much time may delay them. In spite of these, I preserved and completed the task. Evaluation Throughout this procedure I really concentrated and made sure no interruptions took place as I can miss the sphygmomanometer sounds. I actually couldnà ¢Ã¢â€š ¬Ã¢â€ž ¢t get the first sphygmomanometer sounds on my first attempt so I explained to the patient and gained permission again to take the recording to which she agreed, I felt self-conscious and nervous as I had missed the first sphygmomanometer sounds but very pleased when I did manage to get the recording a second time. I feel I have gained a learning skill. The more Doppler recordings I took made me soon realised that no two patients were the same. I also learned that different factors can affect blood pressure, from the patient rushing in late for his appointment which can lead to elevated blood pressure. It has also given me a lot of confidence in myself as I improved my communication skills. Analysis An ABPI is a simple non-invasive method of identifying arterial insufficiency within a limb. It compares the ankle and brachial systolic blood pressures. A slight drop in the blood pressure in the legs can be an indicator of peripheral vascular disease. Peripheral vascular disease refers to blockage of arteries. Basically, as compared to the arms, low blood pressure in the lower part of legs can be an indicator of a serious health. In the management of leg ulcers, the ABPI forms a fundamental part of the assessment. Accurate assessment is necessary to determine the correct aetiology of the ulcer and exclude those patients with arterial disease for whom compression is dangerous (Stacey et al, 2002). In normal circumstances, the blood pressure in the lower leg area is a bit more than that at the elbow. Where an ABPI is greater than 0.9, it is supposed to be normal and holds no risk of peripheral vascular disease. If the ABPI value is more than 1.3, it is an indicator of severe peripheral vascular disease. If the patient is unable to lie flat, the legs will be elevated to the level of the heart. By elevating the legs, the hydrostatic pressure to the legs is reduced. In order to prevent cross-infection the Doppler probe should be cleaned twice with an alcohol impregnated wipe prior to its use (Kibria et al, 2002). It should be noted that the ABPI should not be undertaken in isolation, but should be used in conjunction with a holistic assessment, and a medical and clinical examination of the limb. Conclusion There is controversy about the circumstances in which an ABPI should not be performed, so more research is required. It has been suggested that an ABPI should not be performed if the patient has a suspected deep vein thrombosis, because there is a risk of emboli; or the patient has cellulitis; or because the procedure would be too painful; or the patient has severe ischemia; or because there is a risk of further tissue damage. Action Plan As an inexperienced learner, I hope to read more about Doppler and ABPI. I believe having an underpinning knowledge in the procedure for taking Doppler blood pressure helps to understand the theory behind the practice. I aim to do more at any given opportunity in terms of, patient anxiety; incorrect positioning of the patient; incorrect size of sphygmomanometer cuff; putting excessive pressure on the blood vessel during the procedure; releasing the sphygmomanometer cuff from the patient too quickly; prolonging inflation of the sphygmomanometer cuff or repeated inflation; and moving the Doppler probe during the procedure.

Females In The Canadian Workplace Essay -- essays research papers

Running Head:  Ã‚  Ã‚  Ã‚  Ã‚  WORKPLACE ROLES OF MEN AND WOMEN COMPARED IN TODAY’S SOCIETY   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Work Place Roles Of Men and Women Compared in Today’s Society Submitted by: Steven Kopac Submitted to: Pierro Student #: 2321040 Seminar Time: Tuesday @ 11:30-12:30 Course: Sociology 1F90 Brock University Date: Thursday February 8, 2001 Work Place Roles Of Men and Women Compared in Today’s Society   Ã‚  Ã‚  Ã‚  Ã‚  Ã¢â‚¬Å"Rosy cheeked and bright eyed, she would know how to darn a stocking and mend her own dress...command a regiment of pots and kettles and be a lady when required.†   Ã‚  Ã‚  Ã‚  Ã‚  This statement raises an interesting view on how women have been socially constructed with regard to their place in the work force. Does this also mean that men have been constructed toward a different position in the workplace? Although women have progressed, as far as occupational status is concerned, patriarchy still persists in our modern society. The subject area that will be focussed upon in this paper is the social construction of gender. The purpose of my paper is to explore how the social construction of gender has produced inequalities among men and women at work. The direction this paper will take is to discuss the differences of status, wealth and power between men and women in the work place. The sociological theory that I will apply is gender as a sociological construction. The key element of this theory is sex dimorphism where traits are conceptualized as typically male and typically female normative patterns and these as cultural norms (Hale, 1995) .   Ã‚  Ã‚  Ã‚  Ã‚  Reskin (1993) stated that employers’ preferences for male workers, economic pressures, size of labour supply, gender-role socialization and workers’ values were some of the reasons why women and men are segregated in the workplace. Reskin concluded that there are many social and economic forces that increase and decrease sex segregation in the work force (Reskin,1993). The only way to decrease, better yet, to vanquish sex segregation in the workplace is for society to become â€Å"gender blind†. If society became â€Å"gender blind† differences in the workplace such a... ...emp, Alice Abel. (1994). Women’s Work: Degraded and Devaluated. Engelwood Cliffs, N.J. Prentice-Hall.   Ã‚  Ã‚  Ã‚  Ã‚  Lowe, Graham S. (1999). Labour Markets, Inequality, and the Future of Work. In Curtis, James, Edwards Grabb and Neil Guppy (Eds.), Social Inequality in Canada: Patterns, problems and policies. (pp 113-128). Scarborough, ON. Prentice Hall.   Ã‚  Ã‚  Ã‚  Ã‚  Mackie, M. (1990). The Fundamentals of Gender Socialization. The Sociology of Gender, 1, 5-22.   Ã‚  Ã‚  Ã‚  Ã‚  Reskin, B. (1993). Sex Segregation In The Workplace. Annual Review of Sociology, 19, 241-270.   Ã‚  Ã‚  Ã‚  Ã‚  Rich, A. (1992). Taking Women Students Seriously. The Sociology of Gender, 1, 1-5.   Ã‚  Ã‚  Ã‚  Ã‚  Richardson, John G. & Simpson, Carl H. (1990). Children, Gender and Social Structure: An Analysis of Content of Letters To Santa Claus. Child Development, 53, (429-436).   Ã‚  Ã‚  Ã‚  Ã‚  Statistics Canada. (1998c). Earnings of Men and Women, 1996. Ottawa: Ministry of Industry.   Ã‚  Ã‚  Ã‚  Ã‚  Statistics Canada. (1999a). Earnings of Men and Women, 1998. Ottawa: Ministry of Industry. Cat. No. 13-217-XPB.

Cottam Summary Report :: Archaeology Essays

Cottam Summary Report During 1993 an archaeological evaluation was conducted at the Anglian site at Cottam, North Humberside, under the auspices of the York Environs Project, Department of Archaeology, York University. Fieldwalking was carried out in January and February, and Dr J.D.Richards and B.E.Vyner directed limited excavations during July and August. The purpose of this note is to provide an interim summary, in advance of the main publication which will appear in the Yorkshire Archaeological Journal in due course. The site lies on arable land high on the Yorkshire Wolds some 10 miles from the coast, in the parish of Cottam (NGR 49754667). It was discovered in 1987 by metal detector enthusiasts and has subsequently been intensively worked, yielding a rich collection of predominantly Middle Saxon metalwork. The metalwork finds have been systematically plotted, and published in the Yorkshire Archaeological Journal (Haldenby 1990, 1992 and forthcoming), although the location of the site has hitherto been withheld as a contribution to its protection. To date the published finds include some 30 simple pins, 26 strap-ends, 8 lead spindle whorls, 40 iron knife blades, 14 ninth-century stycas, plus a Jellinge-style brooch and a Norse bell. Two main concentrations of metal finds have become apparent, and these can be seen to be roughly coterminous with two concentrations of crop marks. The date range of the artefacts suggests that the site was in use for much of the 8th and 9th centuries AD. During Apri l 1989 fieldwalking was undertaken for Humberside Archaeological Unit by Peter Didsbury and members of the East Riding Archaeological Society (Didsbury 1990), leading to the recovery of animal bone, prehistoric flints and Roman and medieval pottery, as well as Anglian pottery. The site at Cottam provides an opportunity to fill some of the gaps in our knowledge of activity in York's hinterland during the 8th and 9th centuries. From the surface finds it is apparent that it belongs to a new category of site in Humberside and Yorkshire producing rich Middle Saxon and Viking Age metalwork, which has not so far been excavated. The aim of the evaluation, therefore, was firstly, to establish the extent and survival of archaeological deposits; secondly, to identify the sequence of 8th and 9th- century activity; thirdly, to establish the relationship of the metalwork and the crop-marks; and lastly, to determine the nature of the 8th and 9th- century activity. Fieldwalking confirmed the picture derived from the distribution of metal- detector finds of two concentrations of post-Roman activity, suggesting there was an Anglian nucleus towards the centre of the field, and a subsequent shift to the north-east during the Viking Age.

Bias in Epidemiological Research

Epidemiology is the study of the factors associated with different types of diseases for example, how often does the disease occur, how is the disease transmitted, ways in which the disease can be prevented. There are two main types of epidemiology: descriptive epidemiology and analytical epidemiology. Descriptive epidemiology is concerned with the frequency and distribution of risk factors in a population and it makes it possible for one to assess the way the disease has spread. Analytical epidemiology aims to study the causes and risks involved with the disease and the preventive measures.This is according to Pinchinat, S, & Ponton Sanchez (2006) Observation epidemiological studies In this case the epidemiologist does not carry out any actual experiment or in other words does not take part in any active role in the research. The epidemiologist simply makes observations on what is happening based on an already existing situation without administering any treatments for example if on e wanted to compare the exposure of PCBs exposure to occurrence of cancer over a 20 year period, he would not be required to give any form of treatment only to observe the available case available according to epidemiology home page.Experimental epidemiological studies In contrast to observational studies here the epidemiologist will be required to do the actual experiments or play an active role by administering the treatment to subjects and then observing the effects of the treatment. For example an epidemiologist can perform a clinical trial of a new drug on willing subjects and then observe the changes in subjects based on epidemiology home page. There are different types of biases associated with epidemiological research.According to Eric’s Notebook, bias arises when an estimated value deviates from the original or true value. The case studies given in the assignment are going to provide a basis for the discussion of various types of biases and the effects of the biases on the measures of association. Based on CES-Research-bias & confounding, different types of biases will be discussed. Case 1 This case might show both selection and measurement biases.Selection because the epidemiologist might select the children non-randomly in which case the results could be overestimated or underestimated in that if he over picked children who are not exposed to the chemical then his or her result will be underestimated and vice versa. The results will show a bias in measurement if the epidemiologist measures the outcome inaccurately in which case the results will either be over or underestimated. Case 2 This case could show measurement and analytical biases. Analytical bias is evidenced when patients give false information for example about having less sexual partners.This would lead to over or underestimation of the results. Measurement bias would occur if the epidemiologist collected the wrong data from the studies. This also would lead to over or underestima tion of the results. Case 3 This case will show two kinds of biases; measurement bias because the epidemiologist may collect inaccurate data and analytical bias because of not following up the outcome. All this would lead to either under or overestimation of data. Case 4 Measurement and analytical biases could occur in this case.Incase of analytical bias the results could remain unchanged or underestimated and in case of measurement bias it could either be under or overestimated. Word count: 551 References Aschengran, A, & Seage, G. R, (2008). Essentials of epidemiology in public health, (2nd Ed. ). Sudbury, MA: Jones and Bartlett. CEM-Research- Bias & confounding is a site that provides essential information on research bias on epidemiology. file:///c:/biasconfound. html Checkoway, H, Pearce, N, Kriebel, D. (2004) Research methods in occupational epidemiology.Epidemiology Home Page is a website that gives an introduction to epidemiology File:///c:/epi1. html. Ibrahim, A. M. (2001) Eric Notebook: Selection Bias. Department of veterans’ affairs, epidemiologic research, and information center at Durham, NC. http://eric. unc. edu/notebooks/issue8/eric_notebook_8. pdf Pinchinat, S, & Ponton-Sanchez, A, (2006): Analytic and descriptive epidemiology. Biostatem SARL. File:///c:/epidemiology. htm Study Types in Epidemiology http://www. nwcphp. org/training/courses-exercise/courses/study-types-in-epi

Health assessment roper logan tienery

One draw of the field of nursing is the ability for nurses to individualize their care plans for their patients. In order to ensure that unique patients are able to get healthy, they need nursing care plans as unique as they are. This means assessment and evaluation of each patient before and during care.Nancy Roper's desire to become a nurse started in childhood, and as a result of her experiences and education, she, along with two of her colleagues, developed the Roper-Logan-Tierney Model of Nursing to assess patients' level of independence and provide the best ndividualized care for them. The Roper-Logan-Tierney Model for nursing is a theory of nursing care based on activities of daily living, which often abbreviated ADLs or ALs. The purpose of the theory is as an assessment used throughout the patient care. which is often used to assess how the life of a patient has changed due to illness , injury or admission to a hospital rather than as a way of planning for increasing independ ence and quality of life. This model is related to the lifespan of the Individual, identifying twelve activities f living: maintain a safe environment, communication, breathing, eating and drinking, elimination, washing and dressing, controlling temperature, mobilization, working and playing and sleeping.Each of it is influenced by five identified factors, which are biological, psychological, socio-culture, environment and politico economic This model is used in conjunction with the nursing process to Identify actual potential problems for the Individual and how nursing care can advance the patient along the dependence to Independence continuum.