A.
The intervention had a harmful effect.
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B.
The observed difference is likely due to chance.
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C.
The sample size was too large.
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D.
The results are clinically important.
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A.
It presents the raw data.
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B.
It summarizes the previous literature.
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C.
It interprets the findings, discusses limitations, and suggests implications for practice and future research.
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D.
It outlines the methodology.
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A.
To provide background information on the topic.
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B.
To predict the expected relationship between variables.
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C.
To summarize the study's findings.
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D.
To list the ethical considerations.
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A.
Both the researchers and the participants are unaware of the treatment assignments.
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B.
Only the participants are unaware of their treatment assignment.
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C.
Only the researchers are unaware of the treatment assignments.
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D.
The study is reviewed by two independent committees.
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A.
The probability of making a Type I error.
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B.
The probability of making a Type II error.
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C.
The probability of correctly rejecting a false null hypothesis.
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D.
The sample size required for the study.
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A.
There is a 95% chance that the null hypothesis is true.
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B.
The true population parameter lies within this range 95% of the time.
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C.
The researchers are 95% confident in their findings.
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D.
95% of the participants showed the desired effect.
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A.
To receive the intervention being tested.
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B.
To serve as a comparison group that does not receive the intervention or receives standard care.
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C.
To provide qualitative data.
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D.
To help recruit participants.
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A.
Whether the study's findings are statistically significant.
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B.
Whether the study was funded by a reputable organization.
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C.
Whether the study's findings have practical importance or meaning for patient care.
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D.
Whether the study used a large sample size.
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A.
To provide baseline data for comparison.
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B.
To introduce participants to the intervention.
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C.
To ensure participants understand the study.
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D.
To collect demographic information.
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A.
Asking the clinical question
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B.
Appraising the evidence
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C.
Applying the evidence
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D.
Acquiring the evidence
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A.
Errors in data analysis.
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B.
A systematic difference between the sample and the population.
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C.
A preference for qualitative research designs.
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D.
The unintentional influence of the researcher on participants.
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A.
Every member of the population has an equal chance of being selected.
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B.
Participants are selected based on specific characteristics relevant to the research question.
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C.
Participants are chosen randomly from a list.
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D.
The first available participants are selected.
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A.
Reliability, validity, generalizability.
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B.
Credibility, transferability, dependability, confirmability.
✓
C.
Statistical significance, clinical significance.
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D.
Randomization, blinding.
✓
C.
Evidence-based practice
✓