Answer :
1. Sample Size: A small sample size can limit the generalizability of the findings to a larger population.
2. Research Design: If the research design is flawed or biased, it can affect the reliability and validity of the results.
3. Data Collection Methods: Inaccurate or unreliable data collection methods can undermine the integrity of the research.
4. External Validity: Research conducted in a controlled environment may not accurately represent real-world situations.
5. Confounding Variables: Factors that are not accounted for in the research can distort the results.
6. Time Constraints: Limited time for conducting research can lead to incomplete data collection or analysis.
7. Resource Constraints: Lack of resources such as funding, equipment, or personnel can restrict the scope or quality of the research.
8. Ethical Considerations: Ethical constraints may limit certain types of research or data collection methods.
9. Participant Bias: If participants are not representative of the target population or are biased in some way, it can affect the validity of the findings.
10. Publication Bias: Positive results are more likely to be published, leading to an incomplete representation of the available evidence.
2. Research Design: If the research design is flawed or biased, it can affect the reliability and validity of the results.
3. Data Collection Methods: Inaccurate or unreliable data collection methods can undermine the integrity of the research.
4. External Validity: Research conducted in a controlled environment may not accurately represent real-world situations.
5. Confounding Variables: Factors that are not accounted for in the research can distort the results.
6. Time Constraints: Limited time for conducting research can lead to incomplete data collection or analysis.
7. Resource Constraints: Lack of resources such as funding, equipment, or personnel can restrict the scope or quality of the research.
8. Ethical Considerations: Ethical constraints may limit certain types of research or data collection methods.
9. Participant Bias: If participants are not representative of the target population or are biased in some way, it can affect the validity of the findings.
10. Publication Bias: Positive results are more likely to be published, leading to an incomplete representation of the available evidence.
