This client’s statement suggests to the nurse that the client has had previous experiences with death.
Answer: Option A
<u>Explanation:</u>
- The given statement clearly shows that the death will happen in everyone’s life even though it is not much good. So, from this clearance, check with the given choices.
- Customers' responses to death are affected by past death experiences, their age, physical status, life philosophy, and religious, spiritual trusts and cultural belief.
- The client's phrases do not indicate that the client is misleading, refuses to accept death or that the client will not talk about death in future. So, option A would be matched for given phrase.
The theory that focuses on parents pressuring males to be
more masculine and females to be more feminine is the parental imperative in
which is focused on gender identification of an individual that is being
maintained in order to ensure the survival of one’s children.
Federal laws come before state laws
Answer:
The sociometric/peer acceptance category of controversial relates to children who are noticed by peers and are liked by a quite a few children and disliked by quite a few others.
Explanation:
<u>A sociometric status is a measurement that shows how liked or disliked children are by their peers.</u> It can be divided into five categories: popular, rejected, neglected, average, or controversial. <u>The controversial category is the one that answers our question. It refers to children who are liked by quite a few children and disliked by quite a few others. Children who belong to this category have qualities that can be perceived as good or bad by others.</u> For instance, they tend to be prone to anger, and may seem a bit snobbish. On the other hand, they can also be sociable, cooperative, and good at sports.
Answer:
Factor analysis
Explanation:
The student is performing Factor analysis. Factor analysis can be defined as a method of decreasing a large number of variables to small number of factors. This statistical technique can give descriptions of variability among the observed and the unobserved variables. In simple terms, Factor analysis helps in the simplification of data by decreasing the variables in regression.
