Qualitative and quantitative research methods differ on what they emphasize—qualitative focuses on meaning and understanding, and quantitative emphasizes statistical analysis and hard data. Learn how they're applied.
Thematic analysis is used to deduce the meaning behind the words people use. This is accomplished by discovering repeating themes in text. These meaningful themes reveal key insights into data and can be quantified, particularly when paired withsentiment analysis. Often, the outcome of thematic analy...
A quantitative data analyst seeks to answer objective questions about an event, such as how many or how often. In contrast, a qualitative analyst tries to answer subjective questions about the meaning that people assign to the event. The methods used for collecting empirical evidence illustrate how...
3. To use both qualitative and quantitative data Many of these tools support qualitative and mixed methods research, meaning you can combine both qualitative and quantitative data. This gives you a broader perspective and more well-rounded results. 4. To perform statistical analysis Some tools inclu...
Qualitative Customer Data ... Visualize and share your insights Let your data speak and get a deep understanding of the meaning behind your research findings. With ATLAS.ti, you can share your insights through clear visualizations that turn dull numbers into eye-opening results – presenting your...
ATLAS.ti's qualitative data analysis tools enable you to organize all your text data (i.e., from customer interviews or focus groups) in one place. This way, you can analyzequalitative datafaster than ever. Plus, you can utilize a code hierarchy with a tree structure for better code manag...
Qualitative dataare non-numeric and descriptive. Qualitative research is generally concerned with providing meaning and context to a problem. Research inquires on a phenomenon collective subjective accounts from different participants to provide a reason or an explanation. The research questions are usually...
Qualitative Customer Data ... Visualize and share your insights Let your data speak and get a deep understanding of the meaning behind your research findings. With ATLAS.ti, you can share your insights through clear visualizations that turn dull numbers into eye-opening results – presenting your...
I particularly enjoy exploring the narrative within free-text. One of the major criticisms of data analysis has been the focus on logic and frequency counts that strips meaning from qualitative data. The capacity of Leximancer to explore the relationships between concepts as well as frequency provid...
Clinical research 4: qualitative data collection and analysis. Intensive Crit Care Nurs. 2005 Apr;21:123-7.Endacott, R. (2005). "Clinical research 4: qualitative data collection and analysis." Intensive and Critical Care Nursing 21: 123-127....