**Plan for Confirmatory Analyses** Annotated SPSS syntax that will be used to complete these analyses can be found in Appendix B in the project proposal, which was used in Replication Studies 1 and 2. These will now all be considered confirmatory analyses. We will also conduct a moderated mediation analysis on the basis of our Replication Study 2, to further probe the effects in case our older sample shows no significant effects. **Proposed Meta-Analyses** The most direct way we will use our opportunity to replicate the findings of Shackelford et al. (2004), will be to conduct a meta-analysis on the original findings, previous conceptual replication attempts cited in the present paper, and the findings from our own close replication attempts. Using a random-effects meta-analytic model, we will analyze the size and the consistency of the sex differences in jealousy effect, including age and country as moderators. For each study that will be included in the meta-analysis, one aggregate effect size will be calculated by averaging the effect sizes of the multiple dependent variables. This implies that some effect sizes consist of an averaged mean comprising more items than other effect sizes (since the number of items measured differs across studies). We will control for the number of items that add up to the single effect size through including number of items measured as a third moderator. Positive effect sizes indicate effects in the same direction as the original finding of Shackelford and colleagues’ (2004) that males are more distressed by sexual infidelity than females. This implies that significant positive effect sizes are considered as successful replications. We will adopt random-effects meta-analytic models using the ‘metafor’ package (Viechtbauer, 2010) in the statistical software program R. See Appendix C in the project proposal for the syntax.