Data processing is concerned with editing, coding, classifying, tabulating and charting and diagramming research data. The essence of data processing in research is data reduction. Data reduction involves winnowing out the irrelevant from the relevant data and establishing order from chaos and giving shape to a mass of data. Data processing in research consists of five important steps. They are: 1. Editing of Data Editing is the first step in data processing. Editing is the process of examining the data collected in questionnaires/schedules to detect errors and omissions and to see that they are corrected and the schedules are ready for tabulation. When the whole data collection is over a final and a thorough check up is made. Mildred B. Parten in his book points out that the editor is responsible for seeing that the data are; Accurate as possible, Consistent with other facts secured, Uniformly entered, As complete as Continue reading