The Techniques of Collecting Data
1. Qualitative data analysis
According to Burns 2010:104, there are five steps in analyzing qualitative data:
a. Assembling Data
In this stage, the researcher assembled the data from various data instruments such as interviews, observation, and tests. The researcher
looked closely to the data and then compared and contrasted the data to see what fits together.
b. Coding the data
The broad data that were collected before was arranged into more manageable categories or specific patterns.
c. Comparing the data
After the coding of the data finished, the data were compared to see whether they match for each other. For example, the researcher
compared the data from the interview and observation. d.
Building meanings and interpretations This is the stage when the researcher thought deeply about the meaning
of the data by reflecting beyond the immediate surface details, then the researcher made interpretation of the meanings of the data.
e. Reporting the outcomes
The final stage of data analysis involved reporting the result of the research to others. The researcher selected a way to report the result.
2. Quantitative data analysis
Data would be analyzed using quantitative data analysis where the data would be presented in the form of tables and mean scores.