Transcript DATA ANALYSIS AND INTERPRETATION

DATA ANALYSIS AND
INTERPRETATION
Getting Data Ready for Analysis
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Editing Data
Open-ended questions
 Questionnaire data have to be checked for
incompleteness and inconsistencies
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Getting Data Ready for Analysis
(Cont’d)
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Handling blank responses
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If substantial number of questions have been left
unanswered: throw out the questionnaire
If only few items are left blank:
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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)
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Coding
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Categorization
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Use coding sheet first
Set up a scheme for categorizing variables
such that several items that measuring a
concept are all grouped together
Entering data
Data Analysis
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Feel for the data
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Mean, range, standard deviation, variance
Testing goodness of data
Reliability
 Validity
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Hypothesis testing