- When all participants have been interviewed.
- When no new themes or categories emerge from the data, indicating sufficient data collection.
- When the researcher has analyzed all collected data.
- When the study findings are ready for dissemination.
No category found.
- Anecdotal reports from experienced nurses.
- A single randomized controlled trial.
- A systematic review with meta-analysis.
- Textbook chapters on the topic.
- The central tendency of the data.
- The spread or variability of the data around the mean.
- The highest value in the dataset.
- The lowest value in the dataset.
- The degree to which the intervention is implemented as intended.
- The cost-effectiveness of the intervention.
- The popularity of the intervention among participants.
- The speed at which the intervention shows results.
- Correlational Study
- Descriptive Study
- Experimental Study
- Qualitative Study
- To ensure all participants are healthy.
- To make sure all participants complete the study.
- To create equivalent groups at the start of the study, minimizing confounding variables.
- To allow researchers to choose participants who will support their hypothesis.
- Structured Questionnaires
- Physiological Measurements
- In-depth Interviews
- Statistical Surveys
- Correlation coefficient
- Mean
- Standard deviation
- Regression analysis
- To provide financial support for the research.
- To evaluate the quality, validity, and significance of research before publication.
- To market the research findings.
- To ensure the research is politically correct.
- Failing to reject a false null hypothesis.
- Rejecting a true null hypothesis.
- Accepting a false alternative hypothesis.
- Not finding a significant result when one exists.
- Participants behaving differently because they know they are being observed.
- The phenomenon where researchers unintentionally influence study outcomes.
- The tendency of participants to drop out of a study.
- The effect of research findings on clinical practice.
- Confidentiality
- Anonymity
- Informed Consent
- Beneficence
- How do nurses feel about electronic health records?
- What is the prevalence of depression in adolescents?
- In adult patients with type 2 diabetes (P), does self-management education (I) compared to usual care (C) reduce HbA1c levels (O) over 6 months (T)?
- Is nursing research important for patient care?
- Content Validity
- Face Validity
- Test-retest Reliability
- Inter-rater Reliability
- To prevent participants from knowing the study's purpose.
- To ensure that participants are unaware of their assigned intervention to reduce bias.
- To obscure the research findings from the public.
- To keep researchers from influencing the study results.
- A preference for one research design over another.
- A systematic error or deviation from the truth in data collection, analysis, or interpretation.
- A personal opinion of the researcher.
- A type of statistical analysis.
- A research question is for qualitative studies, and a hypothesis is for quantitative studies.
- A research question is a broad inquiry, while a hypothesis is a testable statement predicting a relationship between variables.
- A research question is answered in the introduction, and a hypothesis is answered in the results.
- A research question is never tested, while a hypothesis always is.
- Reliability
- Internal Validity
- External Validity
- Face Validity
