Author Question: If a nurse researcher found that older patients asked fewer questions before surgery than younger ... (Read 79 times)

sjones · **on:** Jul 8, 2018

If a nurse researcher found that older patients asked fewer questions before surgery than younger patients, the relationship would be described statistically as:

a. negative.
b. null.
c. positive.
d. random.

Question 2

Which of the following is true about the Pearson product moment correlation?

a. Determines relationships between a set of predictors and one outcome
b. Examines bidirectional relationships between two variables
c. Investigates relationships between an independent and dependent variable
d. Measures variables at the nominal level

moormoney · **Reply #1 on:** Jul 8, 2018

Answer to Question 1

ANS: A
In a negative relationship, a high score on one variable is related to a low score on the other variable. In this example, the older the person, the fewer questions they asked and the younger the patient, the more questions they asked. The relationship goes in different directions. As one relationship goes down (older age and fewer questions), the other goes up (younger age and more questions).
Null means that there is no difference.
Positive relationships mean that as the score on one variable goes up, the score on the other variable goes up also.
A random relationship would imply a low or near-zero correlation.

Answer to Question 2

ANS: B
Correlational analyses are performed to identify relationships between or among variables. Variables can vary (change in different directions) or change in the same direction.
The Pearson product moment correlation does not determine relationships between a set of predictors and one outcome. Correlational analyses are performed to identify relationships between or among variables. Variables can vary (change in different directions) or change in the same direction.
It measures the extent of relationship between two variables or among variables. Correlational analyses are performed to identify relationships between or among variables. Variables can vary (change in different directions) or change in the same direction.
Data do not need to be nominal level for this statistic. Correlational analyses are performed to identify relationships between or among variables. Variables can vary (change in different directions) or change in the same direction.