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Logistic regression results for dyadic decisions in the COAHIGH condition.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Logistic_regression_results_for_dyadic_decisions_in_the_COAHIGH_condition_/998598
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The table shows the hierarchical four-level logistic regression estimates on whether (1) or not (0) a relation is present after an evaluation moment in the COAHIGH conditions. We only look at situations where the pairwise comparison comes down to comparing the option of being in a mutually exclusive dyad with the option to add another link. We assume that subjects focus on the dyadic partner when assessing the social consequences of the link. Random effects are estimated at the level of the session, the decision maker, and the directed dyad under consideration. Note that this analysis includes only a subset of potential variables. In particular, the main effect for the weight given to the partner's outcome is omitted as it is constant at -20 by construction. Furthermore, we omit the variables relating to equality. Otherwise, definitions are as in Table 2. P-values are in parentheses.
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2015-12-02
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