Correlation Between Ethical Police Leadership And...

Bachman and Schutt (2012) explain the importance of validity and reliability in social research. A goal of research is to develop valid answers through use of empirical research methods. Variables must clearly define what is being measured and how that measurement directly affects the concept of what is being studied. If the methods cannot be tested accurately, then the research will not be valid. Poorly planned operations will likely doom a project to failure. According to Bachman and Shutt (2012:95), â€Å"Reliability is a prerequisite for measurement validity. A measurement must yield consistent results on repeated trials. The research will be invalid if conclusions are drawn based on invalid measurements. In my research project, I am attempting to prove a correlation between ethical police leadership and corruption. My professional observations over the years indicate that when leadership is more ethical, then the instances of police corruption are reduced. In order to produce empirical data for this design, I must come up with a concept of measures. Immediate examples that come to mind include â€Å"tried and true† methods: surveys, questionnaires and secondary data. I will elaborate more on these examples, but before proceeding, I must show that all measures are proven valid and reliable, meaning they will measure what the researcher intends on measuring, and the measurement will provide consistent results (Bachman Schutt, 2012). Ethical leadership of two policeShow MoreRelatedLiterature Review on Business Ethics6430 Words   |  26 Pagesethics and their relation to leadership, managerial decision making, corporate social responsibility and overall corporate structure. Increased corporate scandals and the discovery of a rise in unethical business practices have thrown the topic of business ethics into the spotlight. Organizations are expected by their stakeholders to implement strong ethics within their corporate structure and culture. This expectation could be accomplished through strong ethical leadership, formal structures and regulationsRead MoreUnethical Behaviour12228 Words   |  49 Pagesand their respective organizations. After defining relevant terms including ethics, morality, and ethical and unethical leadership, a conceptual framework for the unethical behavior of leaders is proposed, which includes the three â€Å"perfect storm† dimensions of leaders, followers, and situational cont ext. Additionally, the mediating variable termed â€Å"critical incident† suggests that unethical leadership behavior is precipitated by a catalyzing thought, condition, intention, or event. With specific examplesRead MoreCase Study : Boeing : The Boeing Company Essay5714 Words   |  23 Pages..Page 1 Horizontal Structure (Carlos)..........................................................................Page 1 Human Resources Management (Carlos) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦....†¦Ã¢â‚¬ ¦...†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..Page 1 Ethical Issues(Gabriel)†¦Ã¢â‚¬ ¦...†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..Page 1 Diversity Issues(Gabriel)†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦....†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.Page 1 Leadership Motivation(Gabriel)†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦...Page 1 Contemporary Issues(Gabriel)†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦..†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦....Page 1 Recommendations (Everyone writes their own recommendation paragraph andRead MoreEthical Decision Making and Behavior13474 Words   |  54 Pages7 Ethical Decision Making and Behavior As we practice resolving dilemmas we find ethics to be less a goal than a pathway, less a destination than a trip, less an inoculation than a process. —Ethicist Rushworth Kidder WHAT’S AHEAD This chapter surveys the components of ethical behavior—moral sensitivity, moral judgment, moral motivation, and moral character—and introduces systematic approaches to ethical problem solving. We’ll take a look at four decision-making formats: Kidder’s ethical checkpointsRead MoreInternational Management67196 Words   |  269 Pagesefforts to â€Å"base of the pyramid† economies, with examples from telecommunications, consumer products, and others. On a more cross-cultural and behavioral level, we have incorporated additional findings of the comprehensive GLOBE study on crosscultural leadership. A continuing and relevant end-of-chapter feature in this edition is the â€Å"Internet Exercise.† The purpose of each exercise is to encourage students to use the Internet to find information from the websites of prominent MNCs to answer relevant questionsRead MoreAn Assessment of the Impact of Corporate Social Responsibility on Nigerian Society: th e Examples of Banking and Communication Industries18990 Words   |  76 Pagessources, relying heavily on the relevant information available from both banking and communication sectors, and other sources. Tests were conducted using both regression and correlation analysis. The regression result reveals a strong and significant relationship between CSR and Societal Progress such that the relationship between CSR and Societal Progress is statistically significant. It is thus conclusion that CSR plays a significant role in Societal Progressiveness in terms of environmental and economicRead MoreStephen P. Robbins Timothy A. Judge (2011) Organizational Behaviour 15th Edition New Jersey: Prentice Hall393164 Words   |  1573 PagesValues 131 Perception and Individual Decision Making 165 Motivation Concepts 201 Motivation: From Concepts to Applications 239 3 The Group 9 10 11 12 13 14 15 Foundations of Group Behavior 271 Understanding Work Teams 307 Communication 335 Leadership 367 Power and Politics 411 Conflict and Negotiation 445 Foundations of Organization Structure 479 v vi BRIEF CONTENTS 4 The Organization System 16 Organizational Culture 511 17 Human Resource Policies and Practices 543 18 OrganizationalRead MoreCompetition Law- Effective Tool for Good Corporate Governance in India13353 Words   |  54 Pages............................30 2|Page :Competition Law: (Effective tool for good Corporate Governance in India) 1. 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The And Decision Making A Critical Literature Review

BUSS7901 Critical Literature Review 1.1 Introduction The presence of commonalities in human information processing has emerged from decades of research into widespread use of decision heuristics by individuals. Tversky Kahneman (1986) demonstrated how individuals violate normative decision rules by employing decision heuristics (e.g. representativeness, availability, and anchoring) to solve complex problems. These cognitive aspects of decision making play a primary role in the investment selection decision process when weighing up the benefits and costs from choice. These cognitive biases that arise have been oft ignored by researchers in favour of the expected utility theory (Von Neuman Morgenstern 1994). This study discusses a key cognitive bias in loss aversion and how it is expressed in financial decision making through the disposition effect. Additionally the difficulties of measuring and the research direction towards developing a predictive disposition index. 1.2 Prospect theory and decision making The cognitive features of individuals involved in the decision making process are derived from prospect theory (Kahneman Tversky 1979). Prospect theory identifies humans as not completely rational and subject to their own mental accounting and bounded rationality (Simon 1972), these processes cause rule of thumb heuristics and cognitive biases to arise in the decision making process. Mental accounting (Thaler 1985) refers to the implicit methodsShow MoreRelatedIntroduction And Objectives Of The Study. Introduction1149 Words   |  5 Pagesthere is more than one decision maker. The criteria being considered always vary from one contractor to another. Some may only consider the revenue and value of project, whilst some may focus on its financial of owner, knowledge of supervisor and so on. 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Statistics and Difference Free Essays

string(204) " MANN WHITNEY TEST will be used to statistically analyse the data as the %damaged cells of workers in the tile operation shows that the data is not normally distributed since the P-Value is lower than 0\." BIO 2003 SUMMATIVE ASSIGNMENT 2 Introduction: The report analyses the result of a study on workers from brick and tile industries conducted by the Health and Safety Laboratory (HSL). HSL put down few criteria’s to the workers which being that neither of the workers from the tiles and brick industries should have worked in both the industries and that they did not smoke. The criteria’s put across was an assurance to attain reliable results. We will write a custom essay sample on Statistics and Difference or any similar topic only for you Order Now The essence of the study lies in detecting any difference in the health of the workers in these industries (as identified by cell damage) if any and also to determine if any relationship exists between the length of service and the recorded health effect. The Null Hypothesis (Ho) states that no difference in the median between the percentage-damaged cells of the workers from the brick and tile industries is observed. Null Hypothesis for the correlation study also states that there is no correlation between the health effects of the workers and the time period they have worked in the industries. Nonetheless the Alternative Hypothesis (H1) states that the median percentage of damaged cell of the workers in the brick industry is different when compared to the median percentage of damaged cells of workers of both the operations. H1 for the correlation study states that correlation exists between the time period the workers have worked in the industry and their health effects. Analysis will be carried out with the help of the following 5 samples: * Worker ID * Age * Department * Length of service * Percentage of cell damage The above samples are independent within and also between each other. To obtain an accurate analysis of the data, the normality, box plot and straight-line relationship and independence of the statistical analysis will be checked. The Null or Alternative Hypothesis will be accepted or rejected on the basis of a statistical analysis, which will be used to analyse the median percentage of damaged cells got from the brick and tile operations. Table 1: Descriptive Statistics of brick and tile operation workers percentage damaged cells Variable| N| N*| Mean| SE Mean | St: Dev. | Minimum| Q1| Median| Q3| Maximum| % Damaged cells of Tile operation| 27| 0| 1. 337 | 0. 210 | 1. 090 | 0. 200 | 0. 600 | 1. 00| 1. 500 | 4. 700| % Damaged cells of Brick operation | 38| 0| 1. 532 | 0. 179 | 1. 106 | 0. 200 | 0. 536 | 1. 370| 2. 189 | 4. 562| Table 1 gives a descriptive data of the workers of the respective industries. As seen in the table above the % of damaged cells of the workers in the brick industry is higher when compared with the tile operation workers. The me dian percentage of brick industry workers is 1. 370 which is higher as compared to the brick operation workers which is 1. 100. The inter-quartile range which being the difference between Q3 and Q1 is higher for the brick operation compared to that of the tile. Figure 1:Box plot displaying %damage of cell in workers from both tile and brick industries. The figure above shows that the percentage-damaged cell for tile operators is lower when compared with the brick operators indicating a difference in the mean and median. Figure 1 shows a difference in the health hazard of the tile and brick workers. There is evidence of skewness in the distribution of brick operators whereas the tile distribution is symmetric, as the median line for the brick operators has shifted away from the centre. The % cell damage in workers of the tile operation is closely grouped apart from the 2 extreme outliers when compared to the % cell damage of the brick workers, which is quite wide. For the above box plot the need for a further analysis is to be carried out as the hypothesis cannot either be accepted neither rejected since the box plot only denotes statistical measures (mean, median, Q1, Q3, max min values) which are not ample to prove the difference between the two sites. Figure 2: Histogram of the Tile and Brick operation data The % of damaged cells of the brick operation is higher when compared to the tile operation. This is concluded from the histogram above which exhibits that the bar values which is the % damaged cells for brick operation is higher than the bar value of the tile operation. We have used a histogram, as it is one of the important tools for a data analysis. Figure 3:The Test For Equal Variance. The values of the estimated equal variances show no difference in the % cell damage of the workers from the brick and tile operations’-value obtained from the Levene’s Test is 0. 200 which is also higher than 0. 05 implies that the hypothesis of difference cannot be rejected. The value of the F-Test is 0. 952 which being higher than 0. 05 shows also shows no signs that the null hypothesis (H0) should be rejected and also that there is no difference between %cell damage of workers from brick and tile operations. The obtained values from the test for equal variance point out to an abnormal distribution of data stating the acceptance of the null hypothesis. Hence no clear evidence of a difference in the median among the % damaged cells in the workers of both the operations. Figure 4:Normal Distribution Graph For Brick And Tile Operation. Figure 4 illustrates a normal distribution graph for tile and brick operations. The figure above shows that the %damaged cells of brick and tile operations are not uniformly distributed, as the points are not scattered about a straight line. There is evidence that the residuals followed a skewed distribution and it can also be seen that the above graph does not follow any trend or pattern. The is no convincing evidence to reject the null hypothesis (H0) as the P-Value is lower than 0. 05 in Fig4. From the above facts it may be concluded that the residuals do not follow a normal distribution. A MANN WHITNEY TEST will be used to statistically analyse the data as the %damaged cells of workers in the tile operation shows that the data is not normally distributed since the P-Value is lower than 0. You read "Statistics and Difference" in category "Essay examples" 05 and also that the plots on the graph so no route any precise trend. MANN WHITNEY TEST Results CI Of Tile Brick Manufacturing Operations Table 2:illuminates the number of samples used in the Mann Whitney test and the obtained median for data of brick and tile manufacturing operations Sample type| Number of sample| Median| Tile | 27| 1. 100| Brick| 38| 1. 370| Point estimate for ETA1-ETA2 is 0. 200 95. 0% CI for ETA1-ETA2 is (-0. 323, 0. 800) W = 1319. 0 Test of ETA1 = ETA2 vs. ETA1 not = ETA2 is significant at 0. 3905 The test is significant at 0. 3903 (adjusted for ties). The results shows a confidence interval of 95% between 0. 323 and 0. 800 in the %damaged cells of workers In the brick and tile operations. Contrariwise the difference in the median is 0. 200(estimated), which means that 0. 200%(approximately) more % of damaged cells in workers of the brick operations than those of the tile operations. A 100% certain analysis cannot be proven as the confidence interval (CI) is only 95%, hence creating a need for more data in order to achieve a 100% certain analysis. An analyses of results obtained shows the P-value got from the Mann-Whitney test was 0. 3905. Since the P-value is higher than 0. 05 it indicated no evidence to reject the null hypothesis of no differences. Therefore it can be concluded that there is no convincing evidence of difference in the median between %damaged cells of workers in the 2 operations. Conclusion: A use of various graphs and descriptive statistics were used and inferred to decide if there were any differences in the health of the workers of the 2 operations. The Mann Whitney U test was considered to find the difference in the %-damaged cells of the tile and brick operation workers. A conclusion may be drawn from the these analyses that there is scarce evidence to suggest that there is noteworthy difference in the % damaged cells in workers of tile and brick operations. Question: 2 Table 3: Paired T-test and 95% CI to determine if the data of % damaged cells and length of service of workers in two operations is paired. N| Mean| StDev| SE Mean| % Damaged cells| 65| 1. 451 | 1. 095| 0. 136| length of service (years | 65| 8. 995 | 7. 349| 0. 912| Difference| 65| -7. 544 | 6. 964| 0. 864| 95% CI for mean difference: (-9. 270, -5. 819) T-Test of mean difference = 0 (Vs. not = 0): T-Value = -8. 73 P-Value = 0. 000 The table shows the T-test and the P-value got is 0. 05 stating no con vincing evidence to reject null hypothesis of no differences. It may be concluded that the data is paired since the P-value is 0. 000. A scatter plot may also be used to test the relationship between the two samples. Figure5: A scatter plot showing the correlation between the % of cells damaged with a regression line and the length of service in years. The predicted value for Regression is 17. 4%, which states the 17. 4% of the variability in the data is represented by the regression model. This cannot be used to get future values as the predictive value itself is very low. Pearson’s correlation needs to be conducted since the above scatter plot shows a minor positive association between the % damaged cells and the length of the service, but the damage of the cells in the future cannot be predicted. Pearson’s Correlation results: Difference 65 -7. 544 6. 964 0. 864 95% CI for mean difference: (-9. 270, -5. 819) T-Test of mean difference = 0 (vs. not = 0): T-Value = -8. 73 P-Value = 0. 000 Pearson correlation of length of service (years) and % damaged cells = 0. 417 P-Value = 0. 001. The association between the length of service and %damaged cells of the tile and brick operations cannot be accepted since the values from Pearson’s Correlation is 0. 417which is higher than 0. 400. Therefore a regression fitted line will be used to forecast the future data. The P-value is 0. 001 which being less than 0. 05 does not prove to be a convincing evidence to reject null hypothesis (H0) of no differences. Hence a conclusion may be drawn stating a difference in the length of services and the % damaged cells of workers from both the operations. Hence a regression fitted line plot will be used to predict future values. Further Analysis: Figure6:shows the data between the %damaged cells and the age of workers as well as the regression line. The scatter plot above shows that there is a moderate positive correlation between the age and the % damaged cells. Therefore a Pearson’s correlation will be conducted. Pearson correlation of age (years) and % damaged cells = 0. 251 P-Value = 0. 044 The P value is 0. 044 which is less than 0. 05, this means that the null hypothesis must be rejected and the alternative hypothesis is accepted that there is not sufficient evidence available to say that there is a correlation. Conclusion: The data was analysed using descriptive statistics, various graphs, Pearson’s correlation and regression fitted line plot to find association between the % damaged cell and length of service in tile and brick operations. The results concluded that there is no association between the % of damaged cells and their length of service. However there was a positive correlation which was observed between the % of damaged cells and age of workers in both operations. This suggested that it is the age which is the cause of damage and not the dust. The first test carried out, concluded that there is no genuine difference between the health hazard of the worker at the tile and brick operation. The second test concluded that there is little relationship between the workers health and the length of their service. Since the R-sq value was only 17. 4%, the extent of damage cannot be predicted by the length of employment. Overall conclusion: It can be concluded that there is insignificant difference in the percentage damaged cells in the workers of tile and brick operations. It can also be concluded that age of workers and not the length of exposure to the dust in brick or tile operations increase % damaged cells of workers. How to cite Statistics and Difference, Essay examples

Flying Fingers free essay sample

Fingers flying, lips moving, but no sound escaping. As a curious five year old I thought my cousin had attained some sort of sickness, but as time progressed and I became older I came to find that her way of communication was in her hands, and this was her life, born into a silent world. I would sit and stare as my aunt manipulated her fingers to form words, and watched more attentively as my cousin produced similar gestures. The mere fact of communicating without use of the mouth perplexed me, boggled my mind, and fascinated me to the point that the desire to learn American Sign Language was then birthed in me. Willing to teach me, my cousin would point to objects around the house, and show me the signs; seconds later she would expect me to show her the same sign and of course I tragically failed, but she never gave up on me. We will write a custom essay sample on Flying Fingers or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Seeing this growing interest, my mother brought home ASL books for me to practice with, for when my cousin was away at the Florida school for the Deaf and the Blind. Upon entering High school I was ecstatic to find out that my school offered Sign Language as a foreign language. I immediately registered for that class and vowed to stick with it all four years of high school. Going into my third year of school, I really started to think about what I wanted to do after graduation, and what type of career I wanted. I knew that whatever I went on to do had to revolve around children, and incorporate sign language; I just didn’t know what. Just so happens at that time my family decided to take a vacation to St. Augustine. We went everywhere: the fort, the lighthouse, even Ripley’s. One stop on our tour was Flagler College, and that, my friend, is where I officially fell head over heels in love. I stated to my parents what a great school Flagler appeared to be, and how I woul d love to go there, but I didn’t know what type of programs they offered. Only a few hours later, I was online looking at the school website; searching the list of majors trying to see if there was something that caught my eye. Under education I saw deaf and looked more into it, and after much research I finally found a career path that fit exactly what I wanted to do in life; the best part of it all is that Flagler College caters to that path. Robert Byrne said â€Å"The purpose life is a life of purpose†, and I know my purpose involves Flagler College. By equipping me with the tools to teach, Flagler will enable me to be an ear for those who cannot hear and to help deaf children feel confident in their ability to function as proud deaf members of a hearing society through a voice using their flying fingers.