Overview of Qualitative analysis

Qualitative data analysis is to analyze and composing one or more datasets to understand the events. The purpose of Qualitative data analysis is to categorize the data based on the intensity of the data. Four major types of Data Analysis ruling the Qualitative analysis.

• Content Analysis: To analyze the contents and spot the content’s intentions, focus, and vocabulary theme.
• Narrative Analysis: It’s a cluster of analytic methods for deciphering texts or visual data.
• Discourse analysis: Discourse analysis is to analyze the eventually occurring spoken interaction. Discourse analysis needs the actual vocabulary words.
• Framework analysis: The framework analysis is to work interlinked and associated words where the enormous volume of texts are correlated.

These are the major types that play vital roles in Qualitative analysis. Based on the procedural ways, the outcome of Qualitative Data Analysis will be accurate.

REFERENCE: https://doi.org/10.1186/s12889-020-09160-z