Current Events in Public Health Leadership and the Fiedler Contingency Theory

As pressures and demands for more standardized business structures fluctuate in society, leaders may experience challenges in developing consistent methods for solving public health problems. Though consistency may be necessary for enacting change, within many areas and localities, consistency may not be an option. As a result, a leader must be able to use a systems thinking approach to evaluate the best method for leadership contingent upon the circumstance.
For this Discussion, select a current event related to public health and leadership, not previously discussed in earlier weeks (CHOOSE ONE!!). With the event you selected, apply Fiedler’s Contingency Model. Consider the actions and interactions between leaders and subordinates with the application of this model.
By Day 4
Post a description (2 Pages, APA format) of the event you selected. Then explain whether the leader’s interaction with his or her subordinates was task-motivated or relationship-motivated. Justify your answer based on Fiedler’s Contingency Model

 

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Identify any of the following found in “The Myth of the Helicopter Parent”:

Identify any of the following found in “The Myth of the Helicopter Parent”: thesis statement, personal experience as evidence, expert testimony as evidence, data or research as evidence, assumptions, rebuttals, primary sources, and secondary sources. Then create 2-3 research questions of your own based on “The Myth of the Helicopter Parent”.



 

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What assumptions do you need to use the one-sample t test? Do you think the data meet the assumptions?

Problem 1

Write a brief explanation of the difference between one sample and two sample hypothesis testing?

Problem 2: T-test of means (one variable: testing sample measure as proxy for population)

Use the GSSFT (General Social Security Full Time) data set to complete the following problem.

Test the hypothesis that for all full-time workers, the population value for average hours worked is 40 hours (variable hrs1). You will use the one-sample t-test.

a) What assumptions do you need to use the one-sample t test? Do you think the data meet the assumptions?

b) What is the null hypothesis that you want to test? The alternative hypothesis?

c) Test the hypothesis and write a brief summary of your conclusions.

d) Based on the 95% confidence interval for the mean difference, can you reject the null hypothesis that the average population value for hours is 43 hours? Explain.

Problem 3: T-test means (two variables: testing sample measures as proxy for population in comparison to one another)

Use the Country data set to complete the following problem. Test the hypothesis that the average life expectancy for males is the same as the average life expectancy for females (variables: lifeexpm and lifeexpf). Use the paired samples t-test.

a) What is the null hypothesis? What is the alternative hypothesis?

b) Look at the distribution of the differences. Summarize your conclusions and state whether there is a statistical difference in life expectancies.

Problem 4

Use the 04cars dataset. Compute a new variable called markup = ((suggretail-dealercost)/dealercost)*100. You will use the “Transform>Compute Variable” dialog. You will test the hypothesis that Sports Cars have a higher markup than other cars.

a) Formulate the null hypothesis that you want to test? The alternative hypothesis?

b) Which type of t-test will be used to evaluate your hypothesis? What are you choosing this method?

c) Test the hypothesis and write a brief summary of your conclusions.

Problem 5

Use the School Salary data set. You are asked to investigate if male and female school superintendents earn the same pay? Salaries for 20 males and 17 females in a certain metropolitan area are given in the school salary dataset. At α = .01, were the mean superintendent salaries greater for men than for women? Note that the gender variable is called male and is coded 0,1 (0 indicating female and 1 indicating male, using the coding protocol 0 is not and 1 is.)

(a) State both hypotheses (Ho and Ha).

(b) State the decision rule and sketch it as a bell curve diagram.

(c) Conduct an independent T-test of the above hypothesis and state your findings.

After completing the problems:

1. Copy the relevant SPSS output to a MS Word document. (You can simply copy and paste or you can export the file while in SPSS.)

2. Add your analytic comments to each problem prior to the SPSS output which it supports.

3. Clearly number and label each problem in the document.

4. Submit your assignment by uploading it to this site.


 

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Because of your knowledge of physics, you have been hired as a technical adviser on anew action movie. In one scene, the hero pursues the villain up…

Because of your knowledge of physics, you have been hired as a technical adviser on anew action movie. In one scene, the hero pursues the villain up to the top of a bungeejump. The villain creates a diversion by dropping a bottle filled with deadly gas. Thescript calls for the hero to quickly strap on a 100 ft. bungee cord and jump straight downto grab the bottle out of the air just as the bungee cord begins to stretch. Your job is todetermine the feasibility of the stunt by finding the initial speed with which the herolength needs to jump downward to catch the bottle. You estimate that the hero can reactto the villain’s dropping the bottle by strapping on the bungee cord and jumping in 2.0seconds.

 

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