Adapted from Yin (1994)
Can be used to show cause and effect
Quantitative techniques can be used to show strength of relationships
Accepted across a wide-range of disciplines
In the “real world” in may be difficult to have random assignment
May not be able to create realistic conditions in a controlled settingExperiments
How reproducible is the data?
How consistent is the data?
How well does the data collected address the characteristics of interest?
(Yin 1994, p. 13)
Can be done after the fact
Valuable technique to highlight learnings from a project
Data collection methods are relatively straight-forward
Difficult to generalize the results to other parts of the organization or to other organizations.
Will not show cause and effect relationships
Time consumingCase Studies
Taking SPC to the production line
Adapted from Creswell (1994)
SWE e-mail mentoring program
Can be used to create quantitative measures of “softer” types of data.
Can be done at many points in time if needed
Methods for evaluating the data exist
Results are limited to the overall group represented in the survey sample
Does not give you a way to follow up if results are inconclusive.Surveys
O1 X O2
Implementing teams in a mineral plant