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Last Published September 26, 2022 11:39 PM September 27, 2022 09:15 PM
Secondary Outcomes (End Points) The primary outcome (overall effect) can be decomposed into a Frequency Effect (which is mechanically generated by the SAA policy) and a Token effect (which is potentially confounded by several factors). The Frequency Effect measures how the SAA policy increases the number of candidates of the targeted type in the candidate pool, whereas the Token Effect1 measures how the SAA policy impacts the likelihood that a member of the targeted group is hired given that they are selected by the pre-screening process. Our design aims to further disentangle the confounding factors of the Token Effect. 1 Tokenism is the practice of doing something purely symbolic to appear inclusive. A (numerically) positive Token Effect is a reduction in the probability that a targeted candidate is hired in the presence of an SAA policy conditional on them being in the candidate pool. In this case, additional representation in the candidate pool does not translate fully into improved hiring outcomes for the targeted candidates. The primary outcome (overall effect) can be decomposed into a Frequency Effect (which is mechanically generated by the SAA policy) and a Token effect * (which is potentially confounded by several factors). The Frequency Effect measures how the SAA policy increases the number of candidates of the targeted type in the candidate pool, whereas the Token Effect1 measures how the SAA policy impacts the likelihood that a member of the targeted group is hired given that they are selected by the pre-screening process. Our design aims to further disentangle the confounding factors of the Token Effect. * Tokenism is the practice of doing something purely symbolic to appear inclusive. A (numerically) positive Token Effect is a reduction in the probability that a targeted candidate is hired in the presence of an SAA policy conditional on them being in the candidate pool. In this case, additional representation in the candidate pool does not translate fully into improved hiring outcomes for the targeted candidates.
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