Exam 6: Correlational Research
Exam 1: The Research-Practice Connection9 Questions
Exam 2: Research Evidence10 Questions
Exam 3: Reading Research Articles8 Questions
Exam 4: Qualitative Research12 Questions
Exam 5: Quantitative Descriptive Research28 Questions
Exam 6: Correlational Research12 Questions
Exam 7: Experimental Research26 Questions
Exam 8: Cohort Research9 Questions
Exam 9: Systematic Reviews10 Questions
Exam 10: Evidence-Based Clinical Practice Guidelines10 Questions
Exam 11: Asking Clinical Questions4 Questions
Exam 12: Searching for Research Evidence9 Questions
Exam 13: Appraising Research Evidence7 Questions
Exam 14: Appraising Recommendations of Clinical Practice Guidelines6 Questions
Exam 15: Appraising Conclusions of Systematic Reviews With Narrative Synthesis7 Questions
Exam 16: Appraising Findings of Original Studies5 Questions
Exam 17: Evidence Based Practice Strategies11 Questions
Exam 18: Evidence-Based Practice Participation Scenarios4 Questions
Exam 19: Point-Of-Care Design Adaptations3 Questions
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What does a negative correlation statistic value mean?
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D
Which of the following statements is an accurate interpretation of the statistical result Pearson r = 0.70?
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A
In correlational research when two variables have a very strong relationship, the Pearson r value will be near:
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Correct Answer:
C
In a correlation study, the p value of a Pearson r statistic is 0.005. What does this mean?
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In the exemplar study about depressive symptoms in patients with heart failure (Graven et al, 2014), which of the following significant relationships was found?
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When one variable precedes the other in time and the correlation between them is high, which statement can be made with confidence?
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A nurse is reviewing results in a study measuring the correlation between pain and patients' activity level. The Pearson r of the association between the two variables is .66. What conclusions can the nurse make about the study results?
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The strength of association between two variables is indicated by which statistical method?
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When a small letter a (e.g., a) is beside a Pearson r statistic, what does it usually indicate?
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What are the two dimensions that describe a relationship between two variables?
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