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We consider that the prospects of scientific futures research will depend first of all on scientific methods that organize research processes well (the internal validity) and result in more valid Futures Maps (the external validity) (the standard 2.4).
Kuusi, Cuhls and Steinmüller [4] make a distinction between internal and external validity for evaluating the quality of futures research, and argue that an internally valid futures research process in turn promotes valid results, i.e., external validity of the research process.
More valid Futures Maps define a distinct transdisciplinary field of futures research.
Internally valid futures research processes are considered to 'shape the future' into pragmatic and organizational approaches.
Answers to these questions help when planning the internally valid futures research process that also promotes externally valid results (the high quality Futures Map, see below).
The systematic statistical analysis of trends is an important way to make more valid Futures Maps from the point of view of criterion 4. Statistical methods - e.g., regression analysis – are effective ways to analyze the variance of time series of futures relevant variables.
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Pursuit of that question is obviously a valid future research project.
Greely has set out a series of issues that must be addressed in order valid future research on collected genetic samples.
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