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.
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administrators assistance Astoria basic behavior Calston causal network CBAM central office classroom cluster columns conceptual framework Conceptually Clustered conclusions context chart cross-site analysis data collection decision rules descriptive developed display district Effects Matrix entries event listing example explanations factors field researcher fieldwork Figure Finally findings focusing format Illustration implementation important informants initial innovation Intervening Variables interview involved issues IV-C job mobility later Lido look Masepa memos Meta-Matrix methods narrative organizational Ourton outcome participant observation pattern codes Perry-Parkdale practice prediction predictor-outcome predictors preparedness procedures qualitative data qualitative data analysis qualitative research reader relationships research questions roles sampling Scatterplots scenario school improvement study shows site-level Site-Ordered social sort specific stabilization staff stream structure student impact Subnetwork summary tactics teachers themes things tion types users usually validity variables write-up