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Author Question: Why should a nurse researcher want to limit or eliminate extraneous variables in a study? a. More ... (Read 91 times)

pragya sharda

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Why should a nurse researcher want to limit or eliminate extraneous variables in a study?
 
  a. More research questions would be required to account for the extraneous variables.
  b. Extensive statistical analysis would be required to justify the presence of extraneous variables.
  c. Extraneous variables compete with the independent variables as explanations of the study's outcome.
  d. Manipulation of the extraneous variables increases the risk for researcher bias in the study's outcomes.

Question 2

How could a nurse researcher's use of a homogeneous sample weaken a research study?
 
  a. By decreasing the reliability of the findings
  b. By decreasing the generalizability of the findings
  c. By increasing the number of subjects needed to reach statistical significance
  d. By increasing the risk that the findings were the result of chance alone



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dominiqueenicolee

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Answer to Question 1

ANS: C

Feedback
A Research questions are not necessarily linked to or controlling of extraneous variables.
B Statistical analysis cannot justify the presence of extraneous variables, although it may be able to estimate the magnitude of their effect.
C Extraneous or mediating variables interfere with analyzing the effect of the independent variables on the dependent variable.
D Manipulation of extraneous variables does not necessarily increase (or decrease) the risk for researcher bias.

Answer to Question 2

ANS: B

Feedback
A Homogeneity of a sample would not necessarily affect reliability.
B Homogeneity of a sample can decrease the generalizability of the findings to other populations.
C Homogeneity of a sample does not mandate a larger sample size.
D Homogeneity does not increase the likelihood of chance findings.




pragya sharda

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Reply 2 on: Jul 8, 2018
YES! Correct, THANKS for helping me on my review


cpetit11

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

 

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