In research methodology, if questionnaires are discarded due to errors, it is generally advisable to replace them to maintain the sample size, especially if the sample size was determined by a power calculation to ensure sufficient statistical power. However, the decision to replace discarded questionnaires can depend on several factors:
The significance of the sample size: If the 300-sample size was specifically required for the study's statistical validity, then replacing the 5 discarded questionnaires would be important.
The percentage of the sample affected: Since 5 out of 300 questionnaires represent a small percentage (approximately 1.67%), the impact on the overall results may be minimal. However, the impact would be greater if the sample size were smaller.
The nature of the study: For some studies, particularly qualitative research, the exact number may be less critical than in quantitative research where statistical analysis is more stringent.
Resource constraints: Sometimes practical considerations such as time, cost, and access to participants may affect the decision to replace questionnaires.
Ultimately, the decision should be guided by the research design, the importance of maintaining the predetermined sample size, and the potential impact on the study’s findings. Documenting deviations from the original methodology and discussing their potential impact when reporting the study results is also essential.
It is highly unlikely that the "statistical validity" of your study will be affected by discarding 5 participants from you sample. Yes, you will see a small drop in power, but it is also highly unlikely it will be enough to create a meaningful difference.
Alternatively the is a high likelihood that this reply was generated by ChatGPT, rather than by someone who actually knows this field.