Data which is collected through open-ended questionnaires and cannot be converted into numbers properly
Even though the methods of data collection remain the same, the nature of data and analysis changes based on the research topic and objectives. Qualitative data analysis is used mostly to identify the human behaviour, habits, actions and feelings pertaining to different factors which could be geographical, circumstantial, financial and so on. Due to which this analysis becomes even more subjective and harder to interpret.
The interviews can be used for both primary qualitative data or the secondary qualitative data by tapping the answers of the respondents. Once the responses get transcribed, the researcher needs to get that reviewed by the respondents to avoid any miscommunication.
Surveys may be conducted both online and offline. However, there are chances of getting vague answers in case the participants do not understand the questions properly or choose not to answer a few questions as per their preferences.
Observational method of collecting data may become the most time consuming method. However, it provides the detailed results and more accuracy rate as it gives time to the researcher for including various factors.
Mostly, the data documented in the forms of texts, media or other physical items from the interviews or surveys conducted are analysed by using this specific measure. This is a commonly used measure which is often applied on the documented transcripts.
When more than one method is used for collecting the data including surveys, interviews and observations, then it demands for a thorough analysis. Narrative analysis draws an insight into different responses and draws a collective narration by aiming at the common findings to draw conclusions.
Discourse analysis is similar to narration analysis when it comes to analysing the data collected through different methods. However, in this the focus remains on answering the research questions. This analysis also focuses on the circumstances and environment in which the data has been collected to evaluate its impact on the participant.
This is the most complex measure of analysing qualitative data in which the scholar/researcher has to go through different case studies related to a common topic in order to find out the reason why the phenomenon took place there. It needs developing and coming up with new knowledge that has been created from the study. Moreover, the researcher has to make sure that the reason concluded fits all the different case studies.
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