what are some wyaa that are not good for effective experimental designs in early stages of a scientific study?
1. Lack of randomization: Without random assignment of participants to different groups, the study results may be biased and not reflective of the true effects of the variables being studied.
2. Small sample size: A small sample size can lead to unreliable results and make it difficult to generalize findings to a larger population.
3. Lack of control group: Without a control group, it is difficult to determine if any observed effects are actually due to the intervention being studied or other external factors.
4. Confounding variables: Failing to account for or control for confounding variables can lead to inaccurate conclusions about the relationship between variables.
5. Inadequate measurement tools: Using unreliable or invalid measurement tools can lead to inaccurate data collection and unreliable results.
6. Lack of blinding: Without blinding, researchers and participants may introduce bias into the study through their expectations or behaviors.
7. Failure to account for variability: Ignoring or failing to control for variability in the study population can lead to misleading results.
8. Lack of replication: Without replication, it is difficult to determine whether the results of a study are consistent and reliable.