Qualitative data analysis is a series process of finding and compiling qualitative data obtained from interviews, observation records, and other materials systematically. This process aims to make data easy to understand and result can be informed to others.
Thequalitative data analysis method is done by organizing data, elaborating it into small units, synthesizing it, arranging it into patterns, selecting and sorting out important and unimportant data, and finally concluding so that the conclusions are information that can be submitted to other people.
One of the most widely used qualitative data analysis techniques in scientific research such as srkipsi and his comrades follows the concept of Miles and Huberman. In the view of Miles and Huberman, the activity of qualitative data analysis is done interactively and continuously at each stage of the research until complete and saturated.
There are 3 stages of qualitative data analysis according to Miles and Huberman, namely data reduction, display, and conclussion
1. Data reduction
The purpose of data reduction is that we as researchers summarize, sort and select, and categorize the data we get from the data source through various data collection techniques that we do.
In qualitative research, the main data are words and actions. In contrast to the research kauntitatif the main data in the form of numbers. Because action is part of the main data in qualitative research, the classroom action research belongs to the qualitative research family.
2. Display data
Display data is to present qualitative data according to the form/pattern that can be done in the form of charts, graphs, brief descriptions, matrices, charts, and network. When the patterns found by researchers have been completed and supported by the data, then the pattern becomes a standard pattern which can then be presented in the final report of research such as thesis.
The main data in qualitative research in the form of words and actions through the process of interviewing and observing human behavior, recorded through written recording and shooting in the form of photos. In this case, the data obtained through written documents such as School work plan and the list of student scores over a given period of position as the main data supporter.
3. Conclusion and verification
The last step in qualitative data analysis is the conclusion and verification. In Miles & Huberman's view, drawing conclusions in qualitative data analysis is only part of a whole series of research processes. Verify the meaning of the researcher review or re-correct the records data he obtained and the meaning he did to the data.
Three steps of qualitative data analysis Miles & Huberman model above is enough to serve as a guide we choose in conducting qualitative data analysis.
The conclusion in qualitative research is the answer or solution offered by the researcher on the formulation of predetermined problem. Conclusions can be new findings, clarify previously blurred objects, and solutions to specific problems.