Heterogeneity and Data Analysis: Coda: Heterogeneity and Control


Several of the vignettes speak to a broad contention I would make about heterogeneity and control:  In relation to modern understandings of heredity and development over the life course, research and application of resulting knowledge are untroubled by heterogeneity to the extent that populations are well controlled.  Such control can be established and maintained, however, only with considerable effort or social infrastructure, which invites more attention to possibilities for participation instead of control of human subjects.  On the control side, people can be made to fit types in many ways: through stereotyping, screening and surveillance, population health measures, diagnostic manuals in psychology, reassignment surgery, ignoring non-conformers, and so on.  On the participation side, Taylor (2005) describes diagramming of intersecting processes to expose multiple points of engagement, “mapping” by researchers of the complex situations they study and their own complex situatedness, and well-facilitated participatory processes.

Does the contention about heterogeneity and control make sense in data analysis?  Does it have relevance beyond heredity and life course development?

(completing a series of posts—see first post)


One thought on “Heterogeneity and Data Analysis: Coda: Heterogeneity and Control

  1. Pingback: Heterogeneity and Data Analysis: Heterogeneity #4, Deviation from the type -> #10, Participatory restructuring of the dynamics that generated the data « Intersecting Processes

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