| Clustering (43) |  |
| Data (486) | |
| Data analysis (6) | |
| Data gathering (7) | |
| Data mining (18) | |
| Database (127) | |
| Network analysis (12) | |
| Qualitative data (8) | |
| Quantitative data (13) | |
| Text mining (31) | |
| Clustering (43) | |
| Data (486) | |
| Data analysis (6) | |
| Data gathering (7) | |
| Data mining (18) | |
| Database (127) | |
| Network analysis (12) | |
| Qualitative data (8) | |
| Quantitative data (13) | |
| Text mining (31) | |
and technology indicators combined with qualitative data Systematic approach Only quantitative data is not sufficient to detect emerging fields of regulation Comparison across technologies,
1 foresight practitioners have concentrated traditionally on participatory methods based on qualitative data, on the grounds that quantitative extrapolation from past data is not sufficient to address the uncertainties of the future
Qualitative data can provide additional evidence to quantitative models by inclusion of new indicators created from quantified expert judgments.
For example, web 2. 0 tools allow for the collection of both quantitative and qualitative data or for the quantitative analysis of qualitative data (such as statistical analysis of stakeholder opinions or networking behaviour.
Such exercises push experts in quantitative and qualitative techniques closer to each other, therefore enhancing cross-disciplinary learning.
Nonreactive Research in the Social sciences, Rand mcnally, Chicago, 1966.50 S. Sarantakos, Social research, Macmillan, Basingstoke, 1993.51 D. Silverman, Interpreting Qualitative data:
An assessment of this qualitative data was coupled with more quantitatiiv data (budgets, number of employees etc.
An assessment of this qualitative data was coupled with more quantitative data (budgets, number of employees etc. to identify similarities
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