Postmarital Residence Analysis

South Central Andean Area. Social Interaction, Relationship and Genetic Divergence in the Atacama Desert

“…The analysis of the correlation of Fst values between sexes (Figure 11) indicates the cases (except for PUJU-SPAT) in which women have higher value than men (CALA-PISA, SPAT-PISA, PUJU-CALA, SPAT-CALA), revealing a particular sex-specific structure (Table 10) with greater diversity, smaller effective size and less migratory effect. These results are consistent with the residential relationships expected according to Konigsberg (1988) and Konigsberg and Frankenberg (2016): if a sex has greater mobility within a migration circuit and a higher migration rate, its genetic variance between groups will be lower and there will be a greater variance within the group with respect to the less mobile sex in the current generation. Differences in effective size between the sexes can be explained by variation in reproductive success (polygyny), progeny rules, and transmission of reproductive success (Heyer et al, 2012).…”

Open sepulchers and closed boundaries? Biodistance analysis of cemetery structure and postmarital residence in the late prehispanic Andes

“…To test the second hypothesis that phenotypic variability differs by sex, this study uses a pairwise distance analysis originally developed for DNA sequences, but adapted for dichotomous nonmetric traits (Konigsberg & Frankenberg, ; R script available at http://faculty.las.illinois.edu/lylek/). Within each burial group, pairwise mismatches are calculated among males and females, respectively.…”

“…As with most bioarchaeological studies of postmarital residence, the approach used in this study assumes that the sex exhibiting greater phenotypic heterogeneity is the migratory sex (e.g., Konigsberg, ; Konigsberg & Frankenberg, ; Spence, ; Stojanowski & Schillaci, ; but see Ensor et al, ). Konigsberg and Frankenberg's () new mismatch method is preferred over Konigsberg's () determinant ratio analysis, which resamples across individuals rather than across traits. It is also suited for handling missing values and small sample sizes, which are frequent features of non‐metric datasets.…”

“…It is also suited for handling missing values and small sample sizes, which are frequent features of non‐metric datasets. Because of known contextual and temporal differences within and between sites, mean pairwise differences are not pooled as in Konigsberg and Frankenberg's () study; instead, the resulting within‐group ratios are compared qualitatively.…”