- The article has been reviewed by the researcher's colleagues.
- The article has been evaluated by experts in the field before publication.
- The article has been cited by other researchers.
- The article is available for free online.
No category found.
- T-test
- ANOVA
- Correlation coefficient
- Chi-square test
- Their inability to understand complex instructions.
- Ensuring they have a legal guardian to provide informed consent.
- Protecting their autonomy and ensuring they are not exploited.
- The difficulty in collecting reliable data from them.
- Posttest-only design
- Pretest-posttest design
- Cross-sectional design
- Case control design
- A literature review summarizes existing research broadly, while a systematic review uses rigorous, predefined methods to identify, appraise, and synthesize all relevant studies on a specific question.
- A literature review is always quantitative, while a systematic review is always qualitative.
- A literature review is conducted by one person, while a systematic review is conducted by a team.
- A literature review is published before a study, while a systematic review is published after.
- Experimental
- Correlational
- Descriptive Survey
- Randomized Controlled Trial
- A single large experimental study.
- A qualitative study synthesizing experiences.
- A statistical technique that combines the results of multiple scientific studies.
- A case study of a unique patient.
- The middle value in a dataset.
- The most frequently occurring value.
- The sum of all values divided by the number of values.
- The range of the dataset.
- They are highly generalizable.
- They are difficult to analyze statistically.
- They may not be representative of the target population.
- They are always clinically significant.
- The process of obtaining informed consent.
- Explaining the true purpose of the study to participants after data collection, especially if deception was used.
- Analyzing the collected data.
- Publishing the research findings.
- Face Validity
- Content Validity
- Criterion-related Validity
- Construct Validity
- Descriptive
- Correlational
- Experimental
- Qualitative
- To test the feasibility of a larger study and identify potential problems.
- To collect preliminary data for publication.
- To recruit all participants for the main study.
- To generalize findings to a wider population.
- Beneficence
- Non-maleficence
- Respect for Persons (Autonomy)
- Justice
- A statement predicting a significant relationship between variables.
- A statement that there is no significant difference or relationship between variables.
- The researcher's personal belief about the outcome.
- The conclusion drawn from the study.
- The researcher does not manipulate any variables.
- The researcher observes participants in their natural environment.
- The researcher manipulates an independent variable and randomly assigns participants to groups.
- The researcher conducts in-depth interviews.
- Beneficence
- Non-maleficence
- Respect for Persons
- Justice
- Using a triangular plot to display data.
- Using multiple data sources, methods, or theories to enhance the credibility of findings.
- Conducting a study with three researchers.
- Analyzing data using three different statistical tests.
- The study's publication date.
- Whether the study participants and setting are similar to their own clinical context.
- The statistical significance of the findings.
- The number of authors on the paper.
