The article reviews two methods of analyzing data, content analysis and thematic analysis, by exploring doctoral students' perceptions of them. The researchers found that these methods are often seen as similar but have differences in their application. Doctoral students believe that content analysis is more practical, while thematic analysis is more intuitive. Both methods have challenges, such as potential bias, and are suitable for different types of research. The study suggests that more support is needed to help students understand these qualitative analysis methods better.