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Author Question: The nurse in the outpatient setting would like to conduct a research study that compares patients ... (Read 20 times)

Shelles

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The nurse in the outpatient setting would like to conduct a research study that compares patients who take tramadol (Ultracet) to patients who take oxycodone hydrochloride and acetaminophen (Percocet) for managing back pain.
 
  Which quantitative research method should yield the best results?
  a. Longitude study
  b. Controlled study
  c. Systematic reviews/meta-analysis
  d. Survey study

Question 2

The nurse administrator is doing a study that entails gathering data about new employees over a 10-year period. Which research method would be the best one to use for this type of study?
 
  a. Quantitative longitude cohort
  b. Qualitative longitudinal
  c. Qualitative interview
  d. Qualitative case study



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harveenkau8139

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Answer to Question 1

ANS: B
A controlled study is a type of quantitative research that seeks to control and examine the variables to determine effectiveness. In this case, the variables would be those that were administered tramadol (Ultracet) and those that were administered hydrochloride and acetaminophen (Percocet) for managing back pain. Correlational research methods help determine association between or among variables. A longitudinal study examines variables over a designated course of time. A systematic reviews/meta-analysis is a type of literature review and not a research method. A survey study is a type of qualitative research method.

Answer to Question 2

ANS: A
Quantitative research has been defined as being focused on the testing of a hypothesis through objective observation and validation. The types of studies that make up this category include randomized controlled studies, cohort studies, longitudinal studies, case-controlled studies, and case reports. The other options are examples of quantitative, not qualitative, studies.




Shelles

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Reply 2 on: Jul 22, 2018
YES! Correct, THANKS for helping me on my review


momolu

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Reply 3 on: Yesterday
Excellent

 

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