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What is the difference between data-centric and document-centric XML documents? Sample Solution
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approx 275 words per page
What is meant by the completeness and soundness of Armstrong’s inference rules? Sample Solution
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approx 275 words per page
Quantitative research tends to require the use of relatively large samples. With that in mind, consider the strengths and weaknesses of purposeful, convenience, and random sampling approaches in quantitative research. Assume that you are an automobile manufacturing executive tasked with increasing sales in your state. You wish to evaluate the effectiveness of an incentive program for sales personnel implemented at 10 dealerships in medium-size cities and 10 dealerships in small cities. All you have at hand are archived records of the incentives received by the sales staff and of their respective sales transactions. What information, data, and variables do you choose to analyze as relevant to your evaluation? Why? Which of the GCU core quantitative designs (introduced in a previous course) would best fit your evaluation plan? Why? How much data do you need to analyze in order to reach a meaningful conclusion? Explain. Do you anticipate any logistic difficulties or ethical concerns? Explain.
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Mr. Harry Roost is a 78-year old male being discharge after a fracture of his right tibia and fibula. He has a long leg cast that he will need to wear for the next 8 weeks. The nurses have observed him using a hanger to scratch the skin under the cast. The nurses have reminded him each time that he is not to put anything down his cast. He also sits on the side of the bed for long periods with his leg in a dependent position. He also gets up to go to the bathroom without calling for help. The staff have observed him hopping to the bathroom without using his crutches.
Develop a care map for Mr. Roost using the template directly after these instructions. Include information important for his discharge home. For this assignment, include the following: assessment and data collection (including disease process, common labwork/diagnostics, subjective, objective, and health history data), three NANDA-I approved nursing diagnosis, one SMART goal for each nursing diagnosis, and two nursing interventions with rationale for each SMART goal for a client with a musculoskeletal disorder.
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Imagine again that you are an automotive manufacturing executive tasked with increasing sales in your state. You wish to assess the effectiveness of an incentive program for sales personnel implemented at 10 dealerships in medium-size cities and 10 dealerships in small cities. What three data collection approaches are most feasible for such a study? What are the most significant strengths and weaknesses of these data collection approaches? Why are these significant? What concerns do you have about the feasibility of implementing these approaches to data collection for this study? Explain.
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In your opinion what personal characteristics are employers looking for in individuals whom they consider for long-term employment and probable advancement in the organization? To what extent can one develop these characteristics?
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