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Since the early 2000s, qualitative research (QR) emerged as an interpretive approach and has gained increasing interest in education in China, while it is deeply rooted in Chinese intellectual history. Indigenously, the concept of QR methodology sought to explore the richness, depth, and complexity of phenomena, which was a way to gain insights through discovering meanings by improving the comprehension of the whole overall. In the 1920s, pioneering intellectuals promoted Western education or new education in the New Culture Movement (around the time of the May 4 Movement in 1919), led by Hu Shih, Chen Tuhsiu, Li Tachao, and others. They actively advocated democracy and science. The May 4th Campaign dealt a heavy blow to the traditional rituals that ruled China for more than 2,000 years. It has inspired people’s democratic consciousness and promoted the development of modern science in China. Quantitative research, like statistical methods, was introduced in the field of education. With the development of theories and methods of probabilistic statistics for studying randomness, small sample theory, statistical estimation, and statistical tests were widely introduced in the 1940s. In the upcoming decades, for many, quantitative research evoked a strong allegiance in academia, particularly in education, since it was considered to be based on a belief in science, perhaps more so than what many considered qualitative research in China. Actually, the relationship between qualitative and quantitative research in education has been fraught with misunderstanding, confusion, and tension in China. After the 1990s, QR, which has been primarily advocated by Western researchers, has also grown in importance in educational and cultural studies in China as a methodological approach to research that aligns in important ways with quantitative research. Thus, internal tensions within the field of education have also emerged. Yet, though both approaches vary and have distinct genealogies and commitments, QR may be seen as a broad methodological genre in which open-ended interviews, participatory and non-participation observation, literature analysis, case studies, and other methods of social phenomena engage in long-term, in-depth, and meticulous studies. Such critically oriented QR has important implications for educational research.

From rites of passage to closer community bonding, the practice, enjoyment, exchange, and transmission of music—regardless of the setting—is an integral element of the history of human civilization. While the field of music education research has long focused on school music and institutional teaching, it is increasingly reaching out to the wider community, in the process involving people at different life stages who are operating in a variety of societal contexts. Consequently, research in music education explores a broad spectrum of musical engagements (including composition and improvisation, in addition to singing, playing, and listening) and a wide-ranging repertoire (including jazz, popular music, folk, and world music), together with diverse pedagogies both inspired by and borrowed from these genres. This process reveals how these forms of musical transmission can, on the one hand, create new meanings and experiences at individual levels, and, on the other, shape collective identity formation through the facilitation of cultural sustainability and transformation. By means of quantitative, qualitative, historical, and philosophical methods, and typically drawing on the fields of—among others—psychology, sociology, and anthropology, music education researchers have addressed social, cultural, pedagogical, and ethical issues of music teaching and learning.

Making appropriate methodological and analytic decisions in educational research requires a thorough grounding in the literature and a thorough understanding of the chosen methodology. Detailed preplanning is important for all method types and includes an understanding of the assumptions, limitations, and delimitations of the study. For quantitative research, researchers should be cautious with data analysis decisions that give preference to statistically significant results, noting that quantitative research can proceed with intents other than confirmatory hypothesis testing. Decisions and procedures that are used to search for low p values, rather than answer the driving research question, are especially problematic. Presentation of quantitative results should include components that clarify and account for analytic choices, that report all relevant statistical results, and that provide sufficient information to replicate the study. Consideration should also be given to joining recent initiatives for more transparency in research with the use of preregistered studies and open data repositories. For qualitative research, researchers should be thoughtful about choosing a specific method for their project that appropriately matches the method’s framework and analytic procedures with the research aim and anticipated sample. Qualitative researchers should also strive for transparency in their method description by allowing for a view of the analytic process that drove the data collection and iterative dives into the data. Presentation of qualitative results requires a balance between providing a compelling narrative that establishes the trustworthiness of results with the judicious use of participant voices. Mixed methods research also requires appropriate integration of different data types.

The development, evaluation, and dissemination of Success for All (SFA)—a comprehensive improvement approach for elementary schools—is a story of how developers, coaches, researchers, and practitioners work together to implement this program. There is considerable formal research informing the program and its continual development. However, although there is reliance on rigorous, quantitative research methods in informing model development, there is also a very strong commitment to learn from teacher practice. SFA seeks a constant interplay between teachers’ practice and research. The knowledge SFA coaches bring to the table, many of whom were former SFA teachers, is also integral to the continual development of the model and its implementation strategies.