Describe in brief the importance of editing, coding, classification, tabulation and
presentation of data in the context of a research study
Answers
Answer:
This process involves editing, coding, classification, tabulation & presentation of data.
Editing- This is concerned with removal of redundant data, filling of missing data completeness of data substance & reliability of data. The data obtained from variance sources are not always complete-sometimes fields remain black due to the human errors also this requires to be corrected. It also corrects the entries present at wrong positions. Many techniques like filling the empty values by frequent values, average values, random value, lowest value etc are common. The editing must be performed just after the data have been collected. This ensures that consistency is maintained various details like editor. data of editing etc are recorded.
Coding^ Coding is performed to assign a predefined meaning to the data captured. The records that satisfy a given constraints are often marked with some Alphabets numerals etc. so that while sorting. Searching such records are taken out by a single search command. This concept is mutually exclusive.
Classification- This step of data sorting involves the segregation of data into various classified forms. The step of-classification makes the data analysis easy often a research study conducted. Serves not only single but multiple purposes. The various departments in organisation are interested in different aspects of the same data collected by the researches. These data correspond to the various form of analysis to make a particular decision. Data classification helps in making-comparisons & design strategies & policies for future action classification is performed accounting to various criterias like year wise, caste wise income group wise, department wise etc. During the problem study itself the classification criteria must be mentioned. Data classified into various forms may be further summed up to form an aggregated plan & even the aggregated data may be drilled down to achieve the desired results as per specifications.