Making sense of data: How public health graduate students build theory through qualitative research techniques.
Data interpretation and theory building are two key skills often taught in health sciences qualitative methods courses. However, little is known about how novice researchers make sense of data, as well as how their thought processes differ from those of expert researchers. In this classroom research project, the author explores how qualitative methods students in a public health graduate program describe their processes of making sense of data and building theory. She then compares these processes with "expert" guidelines to draw implications for how to enhance teaching in a qualitative research class.
Wright
Mary C
MC
University of Michigan, USA.
D003627:Data Interpretation, Statistical; D006801:Humans; D008962:Models, Theoretical; D036301:Qualitative Research; D040443:Students, Public Health