Question

A) A researcher wishes to determine if there is an association between taking frequent breaks (minutes away from desk), certification status (yes/no), age (number of years) and reaching monthly productivity goals in the clinical documentation department (yes/no). What would be the appropriate test to use?

		a) Multiple Regression
		b) Logistic Regression
		c) Pearson's Correlation
		d) ANOVA Test

B) A psychiatric nurse practitioner completes a study examining psychological distress scores, hours spent exercising, and number of counseling sessions to see if these variables impact minutes spent in ritualistic behavior among patients diagnosed with obsessive compulsive disorders. She reports the following information.

	Beta	Sig
Psychological Distress	3.98	0.040
Exercise	-14.29	0.020
Counseling Sessions	-1.45	0.031

If a patient engages in two hours of exercise what would you predict would happen to the number of minutes he/she spends in ritualistic behaviors?

		a) There would be no change in ritualistic behaviors
		b) The patient would engage in about 15 minutes less of ritualistic behaviors.
		c) The patient would engage in about 20% fewer minutes of ritualistic behaviors
		d) The patient would engage in about 29 fewer minutes of ritualistic behaviors

C) A study that examines the relationship between eating citrus fruit and getting cold sores finds a relative risk of 1.89 with a p value of 0.047. The results indicate:

		a) Individuals who eat citrus fruit are significantly more likely to develop cold sores
		b) There is not a significant relationship between eating citrus fruit and developing cold sores
		c) If individuals have a cold sore and eat citrus fruit they can get better significantly faster
		d) Eating citrus fruit is significant protective factor for developing cold sores

D) A researcher wants to compare the mean engagement score for nurses enrolled in 2 different online degree programs (graduate/undergraduate). What test would you recommend she utilize?

		a) Pearson's correlation coefficient
		b) Logistic Regression
		c) ANOVA
		d) T-test for independent groups

E) A researcher wants to determine how an effort score (0-10) and an engagement score (0-100) impact performance (high/low) for nurses enrolled in an online graduate programs. What test would you recommend she utilize?

		a) Pearson's Correlation Coefficient
		b) T-test for independent groups
		c) ANOVA
		d) Logistic Regression

F) A researcher wants to compare the mean engagement score for nurses enrolled in 3 different online degree programs (DNP/MSN/BSN). What test would you recommend she utilize?

		a) Logistic Regression
		b) T-test for independent groups
		c) ANOVA
		d) Pearson's Correlation Coefficient

G) A nurse at Lakeside hospital conducts a study that reports that when there is ice on the road the risk of traumatic injuries is higher (RR=5.3, 95% CI=2.3-8.1). You know this means:

		a) Ice on the road is a significant risk factor for traumatic injuries
		b) Ice on the road appears to be a risk factor but it is not significant
		c) Ice on the road is a clinically significant risk factor for traumatic injuries
		d) It is time to buy snow tires

Answer 1

A.option a) Multiple regression it is used to predict the value of dependent variable based on the values of two or more independent variable.

B.option a) there would be no chamge in ritualistic behavior as ritualistic behavior is common in obsessive symptoms

C.option b) there is not a significant relationship between eating citrus fruits and developing cold sores as the p value is < 0.05.

D.option d) t test for independent group it compares the mean of two independent group in order to determine whether the associted population means are significantly different.

E.option a) Pearsons correlation coefficient is done where it determines the strength of association between two variables

F.option c) ANOVA(Analysis of variance) it is used to determine whether there are any statistical difference between the means of tgree or more independent groups.

G.option a) ice on the road is a significant risk factor for traumatic injury.