Sex differences in reactions to partner infidelity have often been studied by comparing emotional reactions to scenarios of sexual versus emotional infidelity. Men, relative to women, tend to react with more distress to partner sexual infidelity than to emotional infidelity. Evolutionary theorists interpret this difference as evidence of sexually dimorphic selection pressures. In contrast, focusing only on the simple effects within each sex, social-cognitive theorists suggest that men and women do not differ in their reactions to partner infidelity. As evidenced by recent rival meta-analytic reports, these diverging perspectives remain largely unresolved and contentious. The present study was designed to take a new approach by measuring attitudes toward partner infidelity. Results were consistent with the evolutionary perspective: Men, to a significantly larger degree than women, evaluated partner sexual infidelity more negatively than emotional infidelity.

Item response theory (IRT) is a powerful statistical methodology used in the analysis of psychological and educational assessments. IRT rests on three fundamental assumptions about the data, including local independence, which means that after accounting for the latent trait(s) being measured, the item responses are independent of one another. Traditionally, this assumption is assessed using Yen's statistic. However, does not have a known sampling distribution, and thus, it is typically used in a descriptive fashion, such that values larger than an arbitrary cut-value (e.g., 0.2) indicate the presence of local dependence. The current study introduces a formal test of the null hypothesis that for a given item pair is 0, based on permutation test methodology. A small simulation study carried out to assess the Type I error and power rates of the permutation test found that this new statistic maintains good Type I error control, while also yielding power for detecting local dependence at a rate higher than that associated with the use of the 0.2 cut-value.

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