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Walden NURS 6501 PMHNP Certification Exam 2026-2027:
300 High-Yield Complex Questions with Verified Answers
and Detailed Rationales – Most Recent Edition
SECTION 1: RESEARCH METHODOLOGY, STATISTICS, AND
EVIDENCE-BASED PRACTICE (Questions 1-35)
Question 1
A PMHNP is reviewing a study examining the efficacy of a new
antidepressant. The study reports a p-value of 0.03 and a confidence
interval of 0.5-3.2 for the odds ratio. Which of the following
conclusions is most accurate?
A. The results are not statistically significant because the p-value is
greater than 0.01
B. The results are statistically significant, but the wide confidence
interval suggests imprecision
C. The results are clinically significant because the odds ratio is
greater than 1
D. The study has a Type II error because the confidence interval
crosses 1
Answer: B
Rationale:A p-value of 0.03 is less than the conventional alpha of
0.05, indicating statistical significance. However, the confidence
interval of 0.5-3.2 is wide and crosses 1.0, which indicates that the
effect size is imprecise and could range from a slight negative effect
to a strong positive effect. While the result is statistically significant
(p < 0.05), the clinical meaningfulness is limited by the imprecision.
Option A is incorrect because 0.03 is statistically significant. Option
C is incorrect because an odds ratio greater than 1 with a
confidence interval crossing 1 does not confirm clinical
significance. Option D is incorrect because a Type II error relates to
failing to reject a false null hypothesis.
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Question 2
A PMHNP is designing a study to compare the effectiveness of two
different psychotherapy modalities for PTSD. The researcher wants
to minimize the risk of a Type I error while maintaining adequate
power. Which of the following strategies would best achieve this
goal?
A. Increasing the sample size and setting alpha at 0.01
B. Decreasing the sample size and setting alpha at 0.10
C. Using a one-tailed test instead of a two-tailed test
D. Eliminating the control group to reduce confounding variables
Answer: A
Rationale:Increasing the sample size increases statistical power,
while setting a more stringent alpha level (0.01 instead of 0.05)
reduces the risk of a Type I error (false positive). Option B is
incorrect because decreasing sample size reduces power and
increasing alpha increases Type I error risk. Option C is incorrect
because a one-tailed test actually increases Type I error risk if the
effect is in the opposite direction. Option D is incorrect because
eliminating the control group compromises the ability to establish
causality and does not address Type I error.
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Question 3
A PMHNP reads a study reporting a Number Needed to Treat (NNT)
of 12 for a new antipsychotic medication. Which of the following
interpretations is most accurate?
A. Twelve patients must be treated for one patient to benefit from
the medication
B. Twelve patients will experience side effects for every one patient
who benefits
C. The medication is 12 times more effective than placebo
D. Twelve percent of patients will respond to the medication
Answer: A
Rationale: NNT represents the number of patients who need to be
treated for one additional patient to benefit compared to the control
group. An NNT of 12 means that for every 12 patients treated with
the new antipsychotic, one additional patient will benefit compared
to placebo or standard treatment. Option B describes Number
Needed to Harm (NNH). Option C is incorrect because NNT is not a
ratio of effectiveness. Option D is incorrect because NNT does not
directly indicate the percentage of responders.
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Question 4
A PMHNP is evaluating a screening tool for bipolar disorder. The
tool has a sensitivity of 90% and specificity of 85%. A patient tests
positive on the screening. Which of the following statements is most
accurate regarding the interpretation of this result?
A. The patient definitely has bipolar disorder because sensitivity is
high
B. The patient likely has bipolar disorder, but confirmatory testing is
needed
C. The patient definitely does not have bipolar disorder because
specificity is high
D. The patient has a 90% chance of having bipolar disorder
Answer: B
Rationale: A positive result on a highly sensitive test (90%) means
the patient likely has the condition, but false positives occur
because specificity is 85%, meaning 15% of people without the
condition will test positive. Confirmatory testing is always needed.
Option A is incorrect because high sensitivity does not guarantee a
diagnosis. Option C is incorrect because specificity relates to ruling
in, not ruling out. Option D is incorrect because sensitivity is not the
same as positive predictive value.
Walden NURS 6501 PMHNP Certification Exam 2026-2027:
300 High-Yield Complex Questions with Verified Answers
and Detailed Rationales – Most Recent Edition
SECTION 1: RESEARCH METHODOLOGY, STATISTICS, AND
EVIDENCE-BASED PRACTICE (Questions 1-35)
Question 1
A PMHNP is reviewing a study examining the efficacy of a new
antidepressant. The study reports a p-value of 0.03 and a confidence
interval of 0.5-3.2 for the odds ratio. Which of the following
conclusions is most accurate?
A. The results are not statistically significant because the p-value is
greater than 0.01
B. The results are statistically significant, but the wide confidence
interval suggests imprecision
C. The results are clinically significant because the odds ratio is
greater than 1
D. The study has a Type II error because the confidence interval
crosses 1
Answer: B
Rationale:A p-value of 0.03 is less than the conventional alpha of
0.05, indicating statistical significance. However, the confidence
interval of 0.5-3.2 is wide and crosses 1.0, which indicates that the
effect size is imprecise and could range from a slight negative effect
to a strong positive effect. While the result is statistically significant
(p < 0.05), the clinical meaningfulness is limited by the imprecision.
Option A is incorrect because 0.03 is statistically significant. Option
C is incorrect because an odds ratio greater than 1 with a
confidence interval crossing 1 does not confirm clinical
significance. Option D is incorrect because a Type II error relates to
failing to reject a false null hypothesis.
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Question 2
A PMHNP is designing a study to compare the effectiveness of two
different psychotherapy modalities for PTSD. The researcher wants
to minimize the risk of a Type I error while maintaining adequate
power. Which of the following strategies would best achieve this
goal?
A. Increasing the sample size and setting alpha at 0.01
B. Decreasing the sample size and setting alpha at 0.10
C. Using a one-tailed test instead of a two-tailed test
D. Eliminating the control group to reduce confounding variables
Answer: A
Rationale:Increasing the sample size increases statistical power,
while setting a more stringent alpha level (0.01 instead of 0.05)
reduces the risk of a Type I error (false positive). Option B is
incorrect because decreasing sample size reduces power and
increasing alpha increases Type I error risk. Option C is incorrect
because a one-tailed test actually increases Type I error risk if the
effect is in the opposite direction. Option D is incorrect because
eliminating the control group compromises the ability to establish
causality and does not address Type I error.
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Question 3
A PMHNP reads a study reporting a Number Needed to Treat (NNT)
of 12 for a new antipsychotic medication. Which of the following
interpretations is most accurate?
A. Twelve patients must be treated for one patient to benefit from
the medication
B. Twelve patients will experience side effects for every one patient
who benefits
C. The medication is 12 times more effective than placebo
D. Twelve percent of patients will respond to the medication
Answer: A
Rationale: NNT represents the number of patients who need to be
treated for one additional patient to benefit compared to the control
group. An NNT of 12 means that for every 12 patients treated with
the new antipsychotic, one additional patient will benefit compared
to placebo or standard treatment. Option B describes Number
Needed to Harm (NNH). Option C is incorrect because NNT is not a
ratio of effectiveness. Option D is incorrect because NNT does not
directly indicate the percentage of responders.
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Question 4
A PMHNP is evaluating a screening tool for bipolar disorder. The
tool has a sensitivity of 90% and specificity of 85%. A patient tests
positive on the screening. Which of the following statements is most
accurate regarding the interpretation of this result?
A. The patient definitely has bipolar disorder because sensitivity is
high
B. The patient likely has bipolar disorder, but confirmatory testing is
needed
C. The patient definitely does not have bipolar disorder because
specificity is high
D. The patient has a 90% chance of having bipolar disorder
Answer: B
Rationale: A positive result on a highly sensitive test (90%) means
the patient likely has the condition, but false positives occur
because specificity is 85%, meaning 15% of people without the
condition will test positive. Confirmatory testing is always needed.
Option A is incorrect because high sensitivity does not guarantee a
diagnosis. Option C is incorrect because specificity relates to ruling
in, not ruling out. Option D is incorrect because sensitivity is not the
same as positive predictive value.
