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Author Question: Why would a nurse researcher choose to use a correlational design for a nonexperimental study? a. ... (Read 108 times)

abern

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Why would a nurse researcher choose to use a correlational design for a nonexperimental study?
 
  a. It represents an efficient and effective method of collecting a large amount of data about a problem.
  b. Many questionnaires and instruments are already developed and have been determined to be valid and reliable.
  c. Generalizability is greater than for results of studies using experimental designs.
  d. It allows flexibility in the manipulation of more than one variable.

Question 2

Why would a nurse researcher choose to use research studies that examine the associations or relationships between variables?
 
  a. A causal relationship can be determined between the variables.
  b. Greater manipulation of the variables is possible in this type of study.
  c. Randomization of participants allows for increased generalizability.
  d. There is application in clinical settings and a foundation for future experimental studies.



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Anonymous

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Answer to Question 1

ANS: A

Feedback
A A correlational design permits collection of a large amount of data about a problem.
B Questionnaires and instruments are used in all levels of research, not only for correlational studies.
C Experimental studies are usually considered to have a stronger design and to be generalizable if sampling is appropriately designed.
D No variable is manipulated in a correlational study because it is considered nonexperimental.

Answer to Question 2

ANS: D

Feedback
A Causal relationships are usually determined by experimental and quasi-experimental designs.
B Correlational or association-type designs do not involve manipulation of variables.
C Randomization can be used in various levels of research and is not reserved for associative design research.
D Advantages of correlational studies include their application to clinical settings and a foundation for future experimental designs.




abern

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Reply 2 on: Jul 8, 2018
Wow, this really help


xiazhe

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Reply 3 on: Yesterday
Gracias!

 

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