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Decision trees: helping the postanesthesia nurse to plan data analysis.

Authors: S, Summers;

Decision trees: helping the postanesthesia nurse to plan data analysis.

Abstract

An important step in the research process is statistical analysis of the data. Data analysis should be planned as variables are identified, as level of measurement is determined, and as research questions or hypotheses are generated. The use of decision trees can assist the PACU nurse in determining which statistical tests are appropriate for the level of variable measurement in the study. The use of decision trees also can assist the PACU nurse when consulting with experts regarding appropriate statistical analysis.

Keywords

Nursing Research, Decision Trees, Humans, Postanesthesia Nursing

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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