Secondary data analysis involves analyzing data that was collected by another researcher for a different study. It is usually done to test a new hypothesis without having to collect new data. This approach saves time and money compared to primary data collection. Secondary data analysis can be performed on both quantitative and qualitative data from previous studies to answer new research questions.

1. SECONDARY DATA
ANALYSIS
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DR. MAHESWARI JAIKUMAR

2. CHARATERISTICS
• Is a research design in which the
data collected by one researcher
is analyzed by another
researcher.
• Secondary Data Analysis is
usually carried out to test a the
hypothesis.

3. • The researchers analyze the data
collected in the previous researches,
but they have a new research
question or may test a new
hypothesis.
• Secondary Data Analysis is
considered to be the most
convenient, time saving, & cost
effective.

4. • A Secondary Data Analysis can be
performed with both quantitative &
qualitative data.
• E.g. A research study on factors
affecting lung function (from a study
on Major lung Diseases)

5. SECONDARY DATA
ANALYSIS
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