|
Argyris had a lot of influence on
me, and I think a lot of his work has influenced a lot of
major thinkers of our time.
I mentioned verifiable data in the
artifacts piece along with other pieces on the ladder of
influence, and if not, I will on espoused theory and
theories in use, beliefs most likely and others.
It is crucial as a TPOV that
verifiable data be mentioned to provide a context for FLOW.
If you don't have verifiable data
you gamble with design, and design is the key to FLOW,
whether it's conscious (unlikely) or unconscious (natural).
Verfiable Data comes in many forms
and it can be said that it qualifies in some form as
verifiable data if it can be verified objectively and this
will take on many forms and in many kinds of qualitative and
quantitative ratios.
To the extent that you can improve
the verfiability of data and not incur enormous costs, design
will improve IMHO.
Abstract:
Social scientists, over the past sixty years, have developed
methodologies to
generate theory through an inductive process based on the
intensive analysis of a
small number of data sources. However, a difficulty associated
with these, and
most styles of qualitative theory development, is conveying
credibility.
Inductive System Diagrams combine aspects of Grounded Theory
methods and
System Dynamics to generate theory with verifiable data,
explicit inferences and
testable predictions. Grounded theory approaches are used to
develop the
variables which have a great deal of explanatory power and are
intimately tied to
the data. The cause and effect relationships among these
variables are then
shourn using causal-loop diagramming tedmiques from System
Dynamics. This
combination of grounded theory and causal-loop diagramming
allows
researchers to generate and communicate empirically based
theories.
Draft Inductive System Diagrams 23 July 1993
http://www.archive.org/stream/inductivesystemd00burc/inductivesystemd00burc_djvu.txt
|
