Inductive data analysis
The researcher should also describe what is missing from the of candidate themes for further ivity journals need to note how the codes were interpreted and combined to form this stage, the researcher looks at how the themes support the data and the overarching theoretical perspective. Initial coding sets the stage for detailed analysis later by allowing the researcher to reorganize the data according to the ideas that have been obtained throughout the process. Describe the process of choosing the way in which the results would be 1: becoming familiar with the data[edit].
46] tesch (1990) defines data complication as the process of reconceptualizing the data giving new contexts for the data segments. I am using a simulation software to generate a model to analyse the technical and economic data (quantitative) but i have to use interviews to capture social and polical views from industry experts (qualitative). In this stage, condensing large data sets into smaller units permits further analysis of the data by creating useful categories.
6] throughout the coding process, full and equal attention needs to be paid to each data item because it will help in the identification of unnoticed repeated patterns. 44] siedel and kelle (1995) suggest three ways to aid with the process of data reduction and coding: (a) noticing relevant phenomena, (b) collecting examples of the phenomena, and (c) analyzing phenomena to find similarities, differences, patterns and overlying structures. If that is the case then i would presume that this would be a qualitative research project that would lend itself to an inductive approach,since i cannot imagine that you would be able to work with a very large sample of multimodal text.
In this stage of data analysis the analyst must focus on the identification of a more simple way of organizing data. Reflexivity journal entries for new codes serve as a reference point to the participant and their data section, reminding the researcher to understand why and where they will include these start codes in the final analysis. Increasing reliability may occur if multiple researchers are coding simultaneously, which is possible with this form of analysis.
The aim is to generate a new theory based on the the data analysis has been completed the researcher must examine existing theories in order to position their new theory within the ed theory is not an approach to be used lightly. It is important at this point to address not only what is present in data, but also what is missing from the data. Comprehensive analysis of what the themes contribute to understanding the researcher should describe each theme within a few the researchers write the report, they must decide which themes make meaningful contributions to understanding what is going on within the data.
Thank deborah for the explanation but, i want to ask if descriptive is inductive or deductive approach? Connections between overlapping themes may serve as important sources of information and can alert researchers to the possibility of new patterns and issues in the data. Analysis at this stage is characterized by identifying which aspects of data are being captured, what is interesting about the themes, and why themes are order to identify whether current themes contain sub-themes and to discover further depth of themes, it is important to consider themes within the whole picture and also as autonomous themes.
If the map does not work it is crucial to return to the data in order to continue to review and refine existing codes. The application of inductive approach is associated with qualitative methods of data collection and data analysis, whereas deductive approach is perceived to be related to quantitative methods. If i used the conceptual framework as my guidance for my literature review and interview question construction, is that okay if i do not use inductive for the case study because i do not build a new theory.
Thank last paragraph stated ‘the most important point to bear in mind when considering whether to use an inductive or deductive approach is firstly the purpose of your research; and secondly the methods that are best suited to either test a hypothesis, explore a new or emerging area within the discipline, or to answer specific research questions. This approach aims to generate meanings from the data set collected in order to identify patterns and relationships to build a theory; however, inductive approach does not prevent the researcher from using existing theory to formulate the research question to be explored. The following table illustrates patterns of data analysis according to type of research and research atory data ative comparative ural equation writing a dissertation in business studies it is compulsory to specify the approach of are adopting.
Using simple but broad analytic codes it is possible to reduce the data to a more manageable feat. 6] most researchers consider thematic analysis to be a very useful method in capturing the intricacies of meaning within a data set. 47] decontextualizing and recontextualizing help to reduce and expand the data in new ways with new theories.
Even in the most constrained experiment, the researchers may observe patterns data that lead them to develop new ght 2006, william m. If the analysis seems incomplete, the researcher needs to go back and find what is nt recognition of how themes are patterned to tell an accurate story about the need to include the process of understanding themes and how they fit together with the given codes. At this point, researchers have a list of themes and begin to focus on broader patterns in the data, combining coded data with proposed themes.
