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  • Qualitative Comparative Analysis

    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

    Code:
    result_1 SJRm_cr NI_cr HCD_cr DIC_cr , label (R S N H D ) settest(yvo)
    I obtain the following table


    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
    How are the values from YCons calculated?

    Thanks in advance!

    Best,

    Liza

    Last edited by Liza; 03 May 2016, 08:15.

  • #2
    I cannot find a command called "result_1" - where does it come from?

    Comment


    • #3
      The right command is

      Code:
       
       fuzzy result_1 SJRm_cr NI_cr HCD_cr DIC_cr , label (R S N H D ) settest(yvo)
      I am sorry!

      Comment


      • #4
        yvo performs and displays the results (configuration; y consistency; all other sets’ y consistency; F distribution; p-value; number of best-fitting observations) of a test between each set’s y consistency and the y consistency of all other configurations (excluding only the configuration in question). This “other” y consistency is calculated by taking the maximum value of every other configuration, excluding the configuration to be tested, and computing its inclusion in the outcome set. This test is generally applicable only if the configurations comprise binary crisp sets.
        hope this help !

        Comment


        • #5
          I am currently working on a project that involves Fuzzy Set Qualitative Comparative Analysis (QCA) in Stata. I have encountered some challenges with the code and would greatly appreciate any assistance or guidance from experienced members.

          If anyone has expertise in Fuzzy Set QCA or can point me in the right direction for relevant resources, I would be extremely grateful. Sharing sample code or providing insights on best practices would be immensely helpful.

          Comment

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