Qualitative Data Analysis: A Sourcebook of New MethodsQualitative 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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admin administrators assistance Astoria Banestown basic behavior Calston causal network CBAM central office Chart classroom clustering columns conceptual framework conceptually clustered conclusions context cross-site analysis data collection decision rules descriptive developed display district Dun Hollow effects entries example explanations factors field researcher fieldwork Figure findings focusing format illustration implementation important informants initial innovation intervening variables interview involved issues IV-C job mobility later Lido look Masepa matrix memos meta-matrix methods mod/high move narrative organizational outcome pattern codes Perry-Parkdale prediction predictor-outcome predictors principal procedures Proville qualitative data qualitative data analysis qualitative research relationships research questions role sampling scatterplot school improvement study shows site-ordered social sort specific stabilization staff stream structure student impact Subnetwork summary tactics tchr teachers themes things tion types users usually validity variables write-up