After translating participant responses to numerical values and entering the data, missing or out-of-range values may indicate a data entry error. Potential errors can be checked against raw data and corrected if necessary.

Question

Quizplus · Accepted Answer

Missing or out-of-range values in numerical data often suggest a data entry error. By comparing these values against the original participant responses (raw data), errors can be identified and corrected, ensuring the accuracy and integrity of the dataset.

After Translating Participant Responses to Numerical Values and Entering the Data