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Processing of data is a critical stage in research methodology as it transforms the collected raw data into a meaningful and organized form for analysis and decision-making. It involves several steps, namely editing, coding, classifying, and tabulating, each of which ensures accuracy, clarity, and systematic arrangement of data. Taking an example of research on “Customer Satisfaction with Online Food Delivery Services,” these steps can be explained in detail. Editing is the process of checking and correcting the collected data to ensure accuracy, completeness, consistency, and uniformity. In the example of customer satisfaction research, after receiving responses from questionnaires, the researcher would examine each form to identify incomplete answers, illegible responses, or contradictory information. For instance, if a respondent rates “delivery speed” ____ ___ _________ ________ ___ ___ ________ __________ ___ ______ ___ ________.
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