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. 2022 May 17;46(5):e13134. doi: 10.1111/cogs.13134

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© 2022 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Fig. 5 — Model fits of predictors of newcomer retention. Panel A shows the likelihood of a newcomer returning based on the type of their first contribution. The remaining panels show the model fits of the continuous predictors by contribution type (purple = PR; orange = issue): the amount of time in days between the opening of the contribution and its resolution by the community (panel B), the negative sentiment score of the most negative comment in response to the contribution (panel C), the positive sentiment score of the most positive comment in response to the contribution (panel D), number of comments posted in response to the contribution (panel E), the ratio of members to non‐members who posted comments in response to the contribution (panel F), and the cumulative count of gratitude words among comments posted in response to the contribution (panel G). For panels B–G, the trend lines reflect the extent to which each variable (shown on the x‐axis) impacts retention (shown on the y‐axis).