Bill Clinton Leadership

Bill Clinton Leadership Introduction Bill Clinton is one of the most famous politicians in the History of the United States of America. He served as the governor of Arkansas and later on became the president of the United States of America serving between 1993 and 2001 (Mas 325).Advertising We will write a custom essay sample on Bill Clinton Leadership specifically for you for only $16.05 $11/page Learn More It is during his reign as the president that USA exhibited the concept of effective leadership. This was achieved through the leadership of President Bill Clinton. This essay shall therefore focus on Bill Clintons leadership qualities, styles and the success that he achieved as president. To achieve this, the essay shall focus on the qualities that Clinton had and the impacts of his administration during the two terms that he served as president. Leadership of Bill Clinton For an individual to be an effective leader, he/she needs to possess several qualities. Such an individual needs to be visionary, understanding, rational, conscious of the culture, team player, ambitious, reliable, possess communication and social skills, humble, able to influence masses and be knowledgeable (Cohen 8). Bill Clinton possessed most of these qualities. This may have contributed greatly into developing him into a successful and effective leader. In the process of his leadership, Bill Clinton experienced ups and downs. An example is his demise was his scandal with Monica Lewinsky. It should be noted that during the time when Clinton was facing this scandal, he remained confident and charismatic. He was not destructed and performed his duty as the president of the United States to the best. This showed that he had empathy; a factor that enabled him to maintain a positive public figure. Giving the United States priority at this time proved that Clinton was an effective leader (Mas 327).Advertising Looking for essay on government? Let's see if we can help you! Get your first paper with 15% OFF Learn More USA, like many other nations all around the world has always been striving for social, political and economic sustainability. Despite the fact that the nation has always been regarded as one of the best in terms of socio-political and economic sustainability, it is during the reign of Bill Clinton that USA experienced much of its economic growth. Through his leadership practices and policies, USA experienced a tremendous growth in its economy from 1993-2001. An effective leader is one who keeps the promises that he has made to his people. During his presidential campaign, Bill Clinton made several promises to the people. He vowed that he would improve the economy of the United States. Clinton became the president of USA just after the end of the Cold War, a period that USA spent a lot of money in the race for arms supremacy. As a result, the nations economy was in a deficit. Thus, as a result of this economic recession, USA require d strong economic strategies that would lead to economic recovery. To achieve this, Clinton came up with a combination of economic, fiscal and economic policies with an aim of modernizing the government of the United States (Stewart 15). This made the government to be entrepreneur oriented. As a result, much of the powers that were concentrated on the central government were distributed to federal and local governments. This resulted to an increase in the government efficiency and a reduction of the size of the central government hence incurring lower costs as compared to the expenditure of previous regimes. Clinton came up with tight monetary policies that reduced the expenditure of governmental institutions (Stewart 17). For instance, Clinton implemented the tight monetary proponents. This implementation had an effect of stabilizing and reducing the consumer price index.Advertising We will write a custom essay sample on Bill Clinton Leadership specifically for you for on ly $16.05 $11/page Learn More As a result, goods and services within the nation became more affordable to a larger proportion of the population. Clinton also implemented several monetary policies. In 1997, Clinton passed the Taxpayer Relief Act into law that reduced the tax rate on capital investments from 28% to 20% (Stewart 18). This increased the rate at which individuals made in investments within the nation. It also increased the rate of foreign investments hence boosting the economy. The employment rate in USA during the Clinton administration also increased. Increasing the employment rate was one of the promises that Clinton made to the people during his 1992 campaigns. To deliver his promise, Clinton through his administration managed to create over 22 million jobs. This tremendously increased the GDP of USA between 1993 and 2001 (Mas 326). Clinton also managed to reduce the national deficit that had accumulated as a result of the arms race during the cold wa r. Before Clinton became the president, USA had a trade deficit of -90.500 USDs. When Clinton left office, the trade deficit was roughly above -400,000 USDs (Stewart 14). To ensure that this economy is maintained, Clinton embarked on a trade expansion activity. It is during this time that he developed warm diplomatic relations with countries such as Mexico and China. With the desirable relationship that these nations developed, trade between then also improved especially after the free trade deal was passed (Robinson 470). Conclusion Bill Clinton is one of the renowned and leaders in the history of the United States as a result of the role that he played in reviving the national economy amongst other things. During his reign, he also managed to achieve social and political sustainability. He also possessed desirable leadership qualities that made him to be an effective leader. This made him to an effective leader. Cohen, Simon. â€Å"Effective Global Leadership Requires a Global M indset.† Industrial  and Commercial Training 4.2 (2010): 3-10. Print.Advertising Looking for essay on government? Let's see if we can help you! Get your first paper with 15% OFF Learn More Mas, Andrew. â€Å"Racial Bias in USA Presidential Election.† American Economic Review 99.2 (2010): 323-29. Print. Robinson, Allan. â€Å"Global Leadership in a Cultural Diverse World.† Management  Decision 46.3 (2008): 466-80. Print. Stewart, Benjamin. â€Å"Race, Region, and Vote Choice in the US Elections: Implications for the Future of the Voting Rights Act.† Harvard Law Review 3.2 (2010): 11-18. Print.

Lambda and Gamma Levels of Association

Lambda and Gamma Levels of Association Lambda and gamma are two measures of association that are commonly used in social science statistics and research. Lambda is a measure of association used for nominal variables while gamma is used for ordinal variables. Lambda Lambda is defined as an asymmetrical measure of association that is suitable for use with nominal variables. It may range from 0.0 to 1.0. Lambda provides us with an indication of the strength of the relationship between independent and dependent variables. As an asymmetrical measure of association, lambda’s value may vary depending on which variable is considered the dependent variable and which variables are considered the independent variable. To calculate lambda, you need two numbers: E1 and E2. E1 is the error of prediction made when the independent variable is ignored. To find E1, you first need to find the mode of the dependent variable and subtract its frequency from N. E1 N – Modal frequency. E2 is the errors made when the prediction is based on the independent variable. To find E2, you first need to find the modal frequency for each category of the independent variables, subtract it from the category total to find the number of errors, then add up all the errors. The formula for calculating lambda is: Lambda (E1 – E2) / E1. Lambda may range in value from 0.0 to 1.0. Zero indicates that there is nothing to be gained by using the independent variable to predict the dependent variable. In other words, the independent variable does not, in any way, predict the dependent variable. A lambda of 1.0 indicates that the independent variable is a perfect predictor of the dependent variable. That is, by using the independent variable as a predictor, we can predict the dependent variable without any error. Gamma Gamma is defined as a symmetrical measure of association suitable for use with ordinal variable or with dichotomous nominal variables. It can vary from 0.0 to /- 1.0 and provides us with an indication of the strength of the relationship between two variables. Whereas lambda is an asymmetrical measure of association, gamma is a symmetrical measure of association. This means that the value of gamma will be the same regardless of which variable is considered the dependent variable and which variable is considered the independent variable. Gamma is calculated using the following formula: Gamma (Ns - Nd)/(Ns Nd) The direction of the relationship between ordinal variables can either be positive or negative. With a positive relationship, if one person ranked higher than another on one variable, he or she would also rank above the other person on the second variable. This is called same order ranking, which is labeled with an Ns, shown in the formula above. With a negative relationship, if one person is ranked above another on one variable, he or she would rank below the other person on the second variable. This is called an inverse order pair and is labeled as Nd, shown in the formula above. To calculate gamma, you first need to count the number of same order pairs (Ns) and the number of inverse order pairs (Nd). These can be obtained from a bivariate table (also known as a frequency table or crosstabulation table). Once these are counted, the calculation of gamma is straightforward. A gamma of 0.0 indicates that there is no relationship between the two variables and nothing is to be gained by using the independent variable to predict the dependent variable. A gamma of 1.0 indicates that the relationship between the variables is positive and the dependent variable can be predicted by the independent variable without any error. When gamma is -1.0, this means that the relationship is negative and that the independent variable can perfectly predict the dependent variable with no error. References Frankfort-Nachmias, C. Leon-Guerrero, A. (2006). Social Statistics for a Diverse Society. Thousand Oaks, CA: Pine Forge Press.