As an AI language model, I do not have personal opinions or beliefs. However, the disadvantages of using non-experimental research design are:
1. Limited control over variables: Non-experimental designs do not offer control over the variables, making it difficult to determine the cause-and-effect relationships.
2. Limited ability to generalize results: Non-experimental designs provide limited ability to generalize the results, as these designs are conducted in a specific setting with a limited sample size.
3. Bias: Non-experimental designs may contain bias, as researchers cannot control the variables that might impact the results.
4. Lack of accuracy: Non-experimental designs lack accuracy due to inadequate control of variables, sometimes leading to invalid or inaccurate findings.
5. Lack of influence: Non-experimental designs do not use manipulations of variables that might result in limiting the strength of conclusions.
6. No manipulation: Non-experimental designs do not have any manipulation of variables, making it challenging to test theories, concepts, or ideas.
7. Limited control over extraneous variables: An extraneous variable is a factor that can influence the results that were not under consideration. Non-experimental designs have limited control over such variables.
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