Dear all,
I am applying a crisp QCA analysis to my data and, I am using the fuzzy command from Stata 13. There is some results that I can not understand.
From the literature I know that consistency for crisp sets is the percentage of cases in each row displaying the outcome.
When I use the fuzzy command
I obtain the following table
Y-CONSISTENCY vs All Other Y-CONSISTENCY
When I use the fuzzy command for the negation of the outcome, I obtain the following table
Y-CONSISTENCY vs All Other Y-CONSISTENCY
How are the values from YCons calculated?
Thanks in advance!
Best,
Liza
I am applying a crisp QCA analysis to my data and, I am using the fuzzy command from Stata 13. There is some results that I can not understand.
From the literature I know that consistency for crisp sets is the percentage of cases in each row displaying the outcome.
When I use the fuzzy command
Code:
result_1 SJRm_cr NI_cr HCD_cr DIC_cr , label (R S N H D ) settest(yvo)
Y-CONSISTENCY vs All Other Y-CONSISTENCY
Set | YCons | OthYCons | F | P | NumBestFit |
snhd | 0 | 0.5 | 19.23 | 0 | 6 |
snhD | 0 | 0.417 | 16.48 | 0 | 2 |
sNhd | 0 | 0.4 | 16.03 | 0 | 1 |
sNHd | 0 | 0.417 | 16.48 | 0 | 2 |
sNHD | 1 | 0.333 | 46.15 | 0 | 2 |
Snhd | 0 | 0.435 | 17.01 | 0 | 3 |
SnhD | 0 | 0.4 | 16.03 | 0 | 1 |
SnHD | 1 | 0.36 | 42.74 | 0 | 1 |
SNHd | 0 | 0.4 | 16.03 | 0 | 1 |
SNHD | 1 | 0.158 | 97.44 | 0 | 7 |
When I use the fuzzy command for the negation of the outcome, I obtain the following table
Y-CONSISTENCY vs All Other Y-CONSISTENCY
Set | YCons | OthYCons | F | P | NumBestFit |
snhd | 1 | 0.5 | 19.23 | 0 | 6 |
snhD | 1 | 0.583 | 16.48 | 0 | 2 |
sNhd | 1 | 0.6 | 16.03 | 0 | 1 |
sNHd | 1 | 0.583 | 16.48 | 0 | 2 |
sNHD | 0 | 0.667 | 46.15 | 0 | 2 |
Snhd | 1 | 0.565 | 17.01 | 0 | 3 |
SnhD | 1 | 0.6 | 16.03 | 0 | 1 |
SnHD | 0 | 0.64 | 42.74 | 0 | 1 |
SNHd | 1 | 0.6 | 16.03 | 0 | 1 |
SNHD | 0 | 0.842 | 97.44 | 0 | 7 |
Thanks in advance!
Best,
Liza
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