Efficient Data Handling for Successful Analysis

DATA ANALYSIS AND INTERPRETATION

Getting Data Ready for Analysis • Editing Data • Open-ended questions • Questionnaire data have to be checked for incompleteness and inconsistencies

Getting Data Ready for Analysis(Cont’d) • Handling blank responses • If substantial number of questions have been left unanswered: throw out the questionnaire • If only few items are left blank: • Use midpoint • Allow the computer to ignore the blank responses • Mean value of responses of all those who have responded to that particular item • Mean of the responses of this particular respondent to all other questions measuring this variable • Random number

Getting Data Ready for Analysis(Cont’d) • Coding • Use coding sheet first • Categorization • Set up a scheme for categorizing variables such that several items that measuring a concept are all grouped together • Entering data

Data Analysis • Feel for the data • Mean, range, standard deviation, variance • Testing goodness of data • Reliability • Validity • Hypothesis testing

Efficient Data Handling for Successful Analysis

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