If responses are missing from a questionnaire, it can lead to incomplete data, which may significantly compromise the accuracy and reliability of the results. Researchers may need to either exclude the incomplete responses from the analysis or use imputation techniques to estimate missing values based on other responses. It is important to minimize missing data to ensure the validity of the findings.
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