Qualitative data analysis: a sourcebook of new methods
Qualitative data is unsurpassable for richness of detail, explanatory power, and intuitive 'undeniability' -- but can the data be described as scientific? Qualitative researchers are badly in need of systematic methods for drawing conclusions; for testing them; and for communicating them. Miles and Huberman have designed a practical sourcebook in which strong emphasis is placed on innovative types of data display, including charts, graphs, matrices and networks. Forty nine specific methods of data display and analysis are described, explained, and illustrated, with helpful suggestions for the user.
48 pages matching relationships in this book
Results 1-3 of 48
What people are saying - Write a review
We haven't found any reviews in the usual places.
adaln administrators Analysis Problem aoves assistance Astoria basic behavior Calston causal network CBAM central office checklist cher classroom cluster columns conceptual framework conceptually clustered conclusions cross-site analysis data collection decision rules descriptive developed display district Dun Hollow early entries event listing example explanations factors field researcher fieldwork Figure findings focusing format idea illustration implementation important informants initial innovation intervening variables interview involved issues IV-C job mobility later look Masepa memos meta-matrix methods narrative organizational outcome pattern codes Perry-Parkdale practice prediction predictor-outcome predictors principal procedures qualitative data qualitative data analysis qualitative research reader relationships research questions role sampling scatterplot school improvement study shows site-ordered social sort specific staff stream structure student impact Subnetwork summary tactics tchr teachers themes things tion types users usually validity variables write-up