Here are some of the disadvantages of using correlational research design:
1. Causality cannot be established - Correlational research design can only show a relationship between two variables but cannot establish causality or directionality of the relationship.
2. Third variable problem - Correlational research design does not account for the effects of other unseen or unmeasured variables that might explain the relationship between two variables.
3. Self-selection bias - Participants who choose to participate in a correlational study may have self-selected based on the study's subject matter or their personal characteristics, which can skew the sample.
4. Questionable reliability and validity - Correlational research designs depend on the reliability and validity of the measurements of the variables used in the study.
5. Limited generalizability - Correlational research design typically focuses on a specific population or group and may not be generalizable to other populations.
6. Ethics - Correlational research design can sometimes involve the use of personal or sensitive information, which raises ethical concerns about confidentiality and privacy.
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