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PMHNP Certification Exam Version 3: 200 New Questions
with Answers and Rationales|| Exam || Most Recent Exam
Actual Complete Real Exam Questions And Correct
Answers (Verified Answers) Already Graded A+ |
Guaranteed Success!! Newest Exam | Just Released!!
SECTION 1: RESEARCH, STATISTICS, AND EVIDENCE-BASED PRACTICE
Question 1
A PMHNP reads a study reporting a number needed to treat (NNT) of 8 for a
new antidepressant. Which statement best interprets this finding?
A. Eight patients will experience side effects for every one who benefits
B. For every eight patients treated, one additional patient will benefit
compared to control
C. The medication is eight times more effective than placebo
D. Eight percent of patients will respond to the medication
Answer: B
Rationale: NNT represents the number of patients who need to be treated for
one additional patient to benefit compared to control. An NNT of 8 means
treating eight patients yields one additional benefit.
Question 2
A researcher wants to reduce the risk of a Type II error. Which strategy is most
effective?
A. Decrease the sample size
B. Increase the alpha level from 0.05 to 0.10
C. Increase the sample size
D. Use a one-tailed test instead of two-tailed
, 2
Answer: C
Rationale: Increasing sample size increases statistical power, which reduces
the risk of a Type II error (failing to detect a true difference). Decreasing
sample size would increase Type II error risk.
Question 3
A PMHNP is evaluating a screening tool with a sensitivity of 95% and
specificity of 50%. Which statement is most accurate?
A. The tool is excellent for ruling in the condition
B. The tool is excellent for ruling out the condition
C. The tool is equally good for ruling in and ruling out
D. The tool is not useful for screening
Answer: B
Rationale: High sensitivity means the test is good for ruling out disease when
negative (SnOUT). Low specificity means it is poor for ruling in disease
because of many false positives.
Question 4
A study reports a relative risk (RR) of 0.3 for relapse with a new medication.
Which interpretation is correct?
A. The medication increases relapse risk by 70%
B. The medication reduces relapse risk by 70%
C. The medication has no effect on relapse
D. The medication reduces relapse risk by 30%
, 3
Answer: B
Rationale: RR of 0.3 indicates a protective effect. Reduction is calculated as (1
- 0.3) x 100 = 70%. So the medication reduces relapse risk by 70%.
Question 5
A PMHNP is appraising a qualitative study using grounded theory. Which
feature is most characteristic?
A. Testing a hypothesis with statistical analysis
B. Developing theory inductively from data
C. Measuring outcomes with standardized tools
D. Randomizing participants to groups
Answer: B
Rationale: Grounded theory is a qualitative method that develops theory
inductively from data collected in natural settings. It does not test hypotheses
statistically or use randomization.
Question 6
A study reports a Cronbach's alpha of 0.62 for a new anxiety scale. Which
interpretation is correct?
A. Excellent internal consistency
B. Good internal consistency
C. Questionable internal consistency
D. Poor internal consistency
Answer: C
Rationale: Cronbach's alpha interpretation: 0.90+ excellent, 0.80-0.89 good,
0.70-0.79 acceptable, 0.60-0.69 questionable, below 0.60 poor. A value of 0.62
is questionable.
, 4
Question 7
A PMHNP reads a study reporting a Cohen's d of 0.1 for a new intervention.
Which interpretation is correct?
A. Large effect
B. Moderate effect
C. Small effect
D. No effect
Answer: C
Rationale: Cohen's d: 0.2 small, 0.5 moderate, 0.8 large. A value of 0.1 is
below small but still indicates a measurable effect, often considered negligible
but not zero.
Question 8
A researcher wants to compare means of three independent groups. Which
statistical test is appropriate?
A. Paired t-test
B. Independent t-test
C. One-way ANOVA
D. Chi-square test
Answer: C
Rationale: One-way ANOVA compares means across three or more
independent groups. Paired t-test compares two related groups; independent
t-test compares two independent groups; chi-square is for categorical data.
PMHNP Certification Exam Version 3: 200 New Questions
with Answers and Rationales|| Exam || Most Recent Exam
Actual Complete Real Exam Questions And Correct
Answers (Verified Answers) Already Graded A+ |
Guaranteed Success!! Newest Exam | Just Released!!
SECTION 1: RESEARCH, STATISTICS, AND EVIDENCE-BASED PRACTICE
Question 1
A PMHNP reads a study reporting a number needed to treat (NNT) of 8 for a
new antidepressant. Which statement best interprets this finding?
A. Eight patients will experience side effects for every one who benefits
B. For every eight patients treated, one additional patient will benefit
compared to control
C. The medication is eight times more effective than placebo
D. Eight percent of patients will respond to the medication
Answer: B
Rationale: NNT represents the number of patients who need to be treated for
one additional patient to benefit compared to control. An NNT of 8 means
treating eight patients yields one additional benefit.
Question 2
A researcher wants to reduce the risk of a Type II error. Which strategy is most
effective?
A. Decrease the sample size
B. Increase the alpha level from 0.05 to 0.10
C. Increase the sample size
D. Use a one-tailed test instead of two-tailed
, 2
Answer: C
Rationale: Increasing sample size increases statistical power, which reduces
the risk of a Type II error (failing to detect a true difference). Decreasing
sample size would increase Type II error risk.
Question 3
A PMHNP is evaluating a screening tool with a sensitivity of 95% and
specificity of 50%. Which statement is most accurate?
A. The tool is excellent for ruling in the condition
B. The tool is excellent for ruling out the condition
C. The tool is equally good for ruling in and ruling out
D. The tool is not useful for screening
Answer: B
Rationale: High sensitivity means the test is good for ruling out disease when
negative (SnOUT). Low specificity means it is poor for ruling in disease
because of many false positives.
Question 4
A study reports a relative risk (RR) of 0.3 for relapse with a new medication.
Which interpretation is correct?
A. The medication increases relapse risk by 70%
B. The medication reduces relapse risk by 70%
C. The medication has no effect on relapse
D. The medication reduces relapse risk by 30%
, 3
Answer: B
Rationale: RR of 0.3 indicates a protective effect. Reduction is calculated as (1
- 0.3) x 100 = 70%. So the medication reduces relapse risk by 70%.
Question 5
A PMHNP is appraising a qualitative study using grounded theory. Which
feature is most characteristic?
A. Testing a hypothesis with statistical analysis
B. Developing theory inductively from data
C. Measuring outcomes with standardized tools
D. Randomizing participants to groups
Answer: B
Rationale: Grounded theory is a qualitative method that develops theory
inductively from data collected in natural settings. It does not test hypotheses
statistically or use randomization.
Question 6
A study reports a Cronbach's alpha of 0.62 for a new anxiety scale. Which
interpretation is correct?
A. Excellent internal consistency
B. Good internal consistency
C. Questionable internal consistency
D. Poor internal consistency
Answer: C
Rationale: Cronbach's alpha interpretation: 0.90+ excellent, 0.80-0.89 good,
0.70-0.79 acceptable, 0.60-0.69 questionable, below 0.60 poor. A value of 0.62
is questionable.
, 4
Question 7
A PMHNP reads a study reporting a Cohen's d of 0.1 for a new intervention.
Which interpretation is correct?
A. Large effect
B. Moderate effect
C. Small effect
D. No effect
Answer: C
Rationale: Cohen's d: 0.2 small, 0.5 moderate, 0.8 large. A value of 0.1 is
below small but still indicates a measurable effect, often considered negligible
but not zero.
Question 8
A researcher wants to compare means of three independent groups. Which
statistical test is appropriate?
A. Paired t-test
B. Independent t-test
C. One-way ANOVA
D. Chi-square test
Answer: C
Rationale: One-way ANOVA compares means across three or more
independent groups. Paired t-test compares two related groups; independent
t-test compares two independent groups; chi-square is for categorical data.
