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As correlation by nature reflects the relative ranking of subjects on two measures, findings from those studies can only be applied to the so-called relative decision making or norm-referenced score interpretation.
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The FGD of women who are members of a CBSG and who belong to a household of an interviewed woman who has delivered within one month will generate information about factors that have influenced the reasons for joining the saving group, the purpose of availing loans, and the relative decision-making power she holds within the household.
The strong involvement of relatives in decision making is also described by Iyilikçi et al. [ 57].
DEA is a methodology for assessing the relative efficiency of decision making units (DMUs) where each DMU has multiple inputs used to secure multiple outputs.
Data envelopment analysis (DEA) is a mathematical programming technique to evaluate relative efficiency of decision making units (DMUs) with multiple input output.
Generalizability Theory (GT) offers increased utility for assessment research given the ability to concurrently examine multiple sources of variance, inform both relative and absolute decision making, and determine both the consistency and generalizability of results.
Data envelopment analysis (DEA) has been shown to be a very useful mathematical programming tool to measure the relative efficiency of decision making units (DMUs), especially when the so-called internal network structure of the production process is taken into account.
Involving relatives in the decision making process is admirable, but can also be unfair.
Relatives' involvement in decision making is uncommon, and advance directives are rare.
Relatives' participation in decision making occurred in 20% of cases and was more frequent when a decision to provide full support was made (P < 0.01).
The frequency of withholding or withdrawal of treatment and the degree of involvement of relatives in the decision making are influenced by the cultural context [ 13, 14].
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