Donal Crilly (LBS) -- An Introduction to Fuzzy Set QCA - Usc

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Example: Calibrating Managerial Consensus (based on measure of variance of responses) Membership Threshold Evidence from firm at threshold 1 Variance below 0.30 “Agreeing what’s important can’t be decentralized. You have to do it centrally and then roll it out.” 0.5 Variance 0.30 – 0.60 Consensus/dissension not a main theme 0 Variance above 0.60 “All our units are very decentralized. We realize we have to be in greater harmony because the world doesn’t view us as these separate functions.”
Calibration Table Note: Cases with values of 0.5 are dropped from the fuzzy-set analysis in the fsQCA software program. Transform them by subtracting 0.001 (or adding 0.001).
Page 1 and 2: Introduction to Fuzzy-Set Analysis
Page 3 and 4: Not all Democracies 1 are Equal. 1
Page 5 and 6: Calibration Membership has to be
Page 7 and 8: • Cannot consider a country a dem
Page 10 and 11: Calibration Approaches Crisp set Th
Page 12 and 13: Democracy Index
Page 14 and 15: EMPIRICAL EXAMPLE
Page 16 and 17: Steps • Calibrating set membershi
Page 20 and 21: Sample Truth Table
Page 22 and 23: Identifying Case Membership in Conf
Page 24: And potential applications beyond s

Donal Crilly (LBS) -- An Introduction to Fuzzy Set QCA - Usc

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