- It is very expensive.
- It often leads to a representative sample.
- It increases the risk of sampling bias and limits generalizability.
- It is difficult to implement.
No category found.
- The process of interviewing multiple participants.
- Returning data and interpretations to participants for verification of accuracy.
- A technique for analyzing statistical data.
- A method for ensuring researcher objectivity.
- Quantitative
- Experimental
- Qualitative
- Descriptive Survey
- Justice
- Respect for Persons
- Beneficence
- Non-maleficence
- There is a 95% chance that the null hypothesis is true.
- The true population parameter lies within this range 95% of the time.
- The researchers are 95% confident in their findings.
- 95% of the participants showed the desired effect.
- The probability of making a Type I error.
- The probability of making a Type II error.
- The probability of correctly rejecting a false null hypothesis.
- The sample size required for the study.
- Experimental
- Correlational
- Descriptive
- Quasi-experimental
- Both the researchers and the participants are unaware of the treatment assignments.
- Only the participants are unaware of their treatment assignment.
- Only the researchers are unaware of the treatment assignments.
- The study is reviewed by two independent committees.
- To provide background information on the topic.
- To predict the expected relationship between variables.
- To summarize the study's findings.
- To list the ethical considerations.
- Medical diagnosis
- Critical thinking
- Evidence-based practice
- Intuition
- Reliability, validity, generalizability.
- Credibility, transferability, dependability, confirmability.
- Statistical significance, clinical significance.
- Randomization, blinding.
- Every member of the population has an equal chance of being selected.
- Participants are selected based on specific characteristics relevant to the research question.
- Participants are chosen randomly from a list.
- The first available participants are selected.
- Errors in data analysis.
- A systematic difference between the sample and the population.
- A preference for qualitative research designs.
- The unintentional influence of the researcher on participants.
- Asking the clinical question
- Appraising the evidence
- Applying the evidence
- Acquiring the evidence
- To provide baseline data for comparison.
- To introduce participants to the intervention.
- To ensure participants understand the study.
- To collect demographic information.
- Whether the study's findings are statistically significant.
- Whether the study was funded by a reputable organization.
- Whether the study's findings have practical importance or meaning for patient care.
- Whether the study used a large sample size.
- To receive the intervention being tested.
- To serve as a comparison group that does not receive the intervention or receives standard care.
- To provide qualitative data.
- To help recruit participants.
- The researcher will not know the participant's identity.
- Participant identities will be kept secret from everyone.
- Participant data will be protected and only accessible to authorized research personnel.
- Participants must not discuss the study with anyone.
