Typology is among the most common approach to data analysis used in qualitative research. Generally, typology is described as creation of your system of category, list of mutually exclusive categories. Typologies are generated from theory, common sense, and/or research goals, and primary data digesting happens inside those typological groupings.
Elman (n. d) mentions that typology offers three capabilities in qualitative research analysis which are; descriptive, classificatory and explanatory. The descriptive function defines and describes the various types of data and differentiates the data. The classificatory function assigns circumstances in the natural qualitative info, classifying these people under one of the categories in a given typology. While the explanatory function spots data in relevant classes, allows researchers to make a evaluation and gain access to whether the data are consistent with relevant ideas.
Hatch (2007) brings up many steps that must be done in typological analysis that are: 1 . Read data, coding entries in respect to patterns, identified and keep a record of what entries choose what aspects of your habits. Researchers need to read through all the data which are hypothetical patterns, relationships, or perhaps themes. Then, get coded of the data with some kind of mark that distinguishes this from other categories. This step is going to best describe through an model in Appendix 1 . 2 . Decide if habits are maintained the data, and search info for not examples of your patterns Not every the re-read and coded data is going to neatly fit into the research classes. So , research workers need to help to make a judgment about perhaps the categories are justified by data or perhaps not. The judgment depends on how well the data that are coded go with the categories. Inversely, this task looks for the information not coded that are is different from what have recommended. 3. Search for relationships among the patterns discovered
The research effect will be a set of patterns, interactions...