Deck 11: Correlation Coefficients

Question 1

Researchers report a significant Pearson's correlation for pain and distress (r=0.91). Which statement is correct?

A) There is a weak positive correlation between pain and distress but it is significant.
B) As pain increases distress increases 90%.
C) As pain decreases distress decreases.
D) There is a moderate positive correlation between pain and distress.

Answer 1

C

Question 2

A study examines the relationship between total years of educational preparation and total score on a cultural competency exam among a group of 987 randomly selected nurses at your hospital. What test would be appropriate to determine if there is an association?

A) Independent t-test
B) Dependent t-test
C) ANOVA
D) Pearson's Correlation

Answer 2

D

Question 3

A study examines the relationship between being a registered nurse (yes/no) and passing a cultural competency exam (yes/no) among a group of 987 randomly selected employees at your hospital. What test would be appropriate to determine if there is an association?

A) Independent t-test
B) Chi-Square
C) McNemar's test
D) Pearson's Correlation

Answer 3

B

Question 4

A study examining the relationship between travel and stress reports an r=0.4. You know that this means:

A) There is a significant relationship between travel and stress.
B) As travel increases there is a 40% increase in stress.
C) There is a moderately positive correlation between the variables in the study.
D) When people travel their stress level decreases.

Question 5

A study examining the relationship between travel and stress reports an r=0.4 (p=0.02). You know that this means:

A) There is a significant positive correlation between travel and stress.
B) As travel increases there is a 40% increase in stress.
C) There is a weak positive correlation between the variables in the study.
D) When people travel their stress level decreases.

Question 6

A nurse lead study examines the relationship between age and post-operative pain and reports Spearman's rho= -0.2 which is significant. You know this means:

A) As age increases post-operative pain decreases.
B) As age increases post-operative pain increases.
C) There is a strong relationship between age and post-operative pain.
D) Post operative pain is significant in the elderly.

Question 7

A nurse wants to complete a study to see if there is a relationship between the number of quiet hours and patient satisfaction (poor, moderate, high) in a convenience sample of 110 patients at your hospital. What statistical test would you recommend?

A) Chi-Square
B) Spearman's Correlation Coefficient
C) Independent t-test
D) Pearson's Correlation Coefficient

Question 8

A study examining the relationship between the number of quiet hours and patient satisfaction reports r=0.6, p=0.02. You know this means:

A) There is a weak relationship between the number of quiet hours and patient satisfaction.
B) Because the p value is less than the r value there is a significant relationship between the number of quiet hours and patient satisfaction.
C) For each additional quiet hour patient satisfaction increases 60%.
D) 36% of the variance in patient satisfaction is due to differences in the number of quiet hours.

Question 9

If a researcher wants to examine if there is a relationship between the number of steps taken and HR in a group of 1000 athletes, what would be the appropriate test to recommend?

A) Chi-Square
B) Spearman's Correlation Coefficient
C) Pearson's Correlation Coefficient
D) Multiple Regression

Question 10

A pilot study reports no relationship between miles run and HR in young athletes (r=0.7, p=0.06). If this study report is incorrect you know it is an example of:

A) A violation of the normal distribution assumption
B) A dependent sample
C) A type I error
D) A type II error

Question 11

A researcher is examining the relationship between the number of motor vehicle accidents and age (measured in years) in a sample of 1,200 records. An appropriate test would be:

A) Spearman's Correlation Coefficient
B) Pearson's Correlation Coefficient
C) Independent t-test
D) Dependent t-test

Question 12

A researcher is examining the relationship between motor vehicle accidents (yes/no) and age in a sample of 200 records. An appropriate test would be:

A) Spearman's Correlation Coefficient
B) Pearson's Correlation Coefficient
C) Independent t-test
D) Chi-Square

Question 13

A researcher is examining the relationship between the number of surgical errors made and experience (measured in years) in a sample of 60 residents at your hospital. An appropriate test would be:

A) Spearman's Correlation Coefficient
B) Pearson's Correlation Coefficient
C) Independent t-test
D) ANOVA

Question 14

A researcher is examining the relationship between use of illegal drugs (opiods/THC/Other) and sepsis (yes/no) in a sample of 78 ICU patients. An appropriate test would be:

A) Repeat measures ANOVA
B) Pearson's Correlation Coefficient
C) Chi-Square
D) Dependent t-test

Question 15

The researcher examines the relationship between hours of sleep and average test scores and reports an r=0.56, p=0.02. You know this means:

A) there is a statistically significant correlation between sleep and test scores.
B) as hours of sleep increase average test scores do as well.
C) there is a strong positive relationship between the variables.
D)All of these answers are correct

Question 16

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) ANOVA
B) T-test for independent groups
C) Logistic regression
D) Pearson's Correlation Coefficient

Question 17

A researcher wants to compare the mean engagement score for nurses enrolled in 2 different online degree programs (graduate/undergraduat

A) ANOVA
B) T-test for independent groups
C) Logistic regression
D) Pearson's Correlation Coefficient
E)) What test would you recommend she utilize?

Question 18

A researcher wants to examine the relationship between age in years and the engagement score (0-100) for 700 nurses enrolled in an online degree program. What test would you recommend she utilize?

A) ANOVA
B) T-test for independent groups
C) Logistic regression
D) Pearson's Correlation Coefficient

Question 19

A researcher reports that performance was significantly correlated with overall engagement among nurses enrolled in an online degree program (r=0.8). You know this means:

A) As engagement goes up performance goes up
B) As performance goes up engagement goes up
C) The p value is less than alpha.
D) All of these answers are correct

Question 20

A researcher conducts an ANOVA analysis and reports no differences in systolic blood pressure for nurses identified as Baby Boomers, Millennials or Generation X. You would expect to see:

A) An F value close to 1
B) A p value less than alpha
C) A large sample size
D) A type I error