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Deceptive data collection is a potential ethical problem in quantitative research. Researchers may mislead participants, for example by giving false or misleading information to them about their research. This could lead to distorted responses. These practices are against ethical principles and may have an impact on design decisions.
For instance, if researchers are tempted to omit important details from an informed consent process in order to entice people into participating, then this might lead them to create surveys or experiments that lack necessary safeguards such as anonymity or control groups—which can severely limit their ability to draw accurate conclusions from their findings. Additionally, using deceptive tactics may also lead investigators to overlook important aspects of participant safety since they won’t be aware of any potential risks associated with the study if they don’t provide full disclosure about its purpose and methodology.
Deceptive practices in conducting quantitative research are ethically problematic. It also has implications on how researchers design their various study components. These issues should be considered by all researchers when designing experiments. It’s important to take appropriate precautions during each stage of data collection, so participants are protected and have the opportunity to access valuable information.