In evolutionary psychology, it is customary to measure life-history via psychometric inventories such as the Arizona Life History Battery. The validity of this approach has been questioned: it is argued that these measures are not congruent with biological life history events, such as the number of children, age at first birth, or pubertal timing. However, empirical data to test this critique are lacking. We therefore administered the ALHB to a convenience sample of young adults in Serbia. We also collected information (...) on psychosocial-biodemographic life history parameters closely related to biological life history traits: pubertal timing, onset of sexual behavior, short- and long-term mating, number of children, timing of reproduction, parenthood values, and environmental harshness. We found that correlations between these two sets of measures were rare, unsystematic, and mostly low in magnitude. Stable patterns of relations emerged only between the indicators of environmental conditions from both sets of measures. Furthermore, some ALHB indicators were found to be positively related with early fertility, which is incongruent with the conceptual foundation of ALHB. Finally, network analysis and factor analysis within each set of measures revealed different structures and that the hypothesis of unidimensionality, on which the ALHB was founded, cannot be applied to psychosocial-biodemographic life history indicators. Our results support the critique of ALHB as a set of measures lacking validity to capture biodemographic life-history parameters. ALHB measures are indeed relevant for understanding life-history variation, but they cannot be used as a substitute for specific life history characteristics. Our findings are a warning to researchers to use direct measures of biological events in order to measure life-history dynamics. (shrink)

Previous theoretical accounts have predicted that warfare and intergroup conflict are environmental factors that contribute to the emergence of a fast life-history strategy. However, this assumption has never been directly empirically tested. We examined youth who grew up in a territory that experienced violent intergroup conflict and compared them with a control group on various life-history measures: age of first sexual intercourse, mating behavior, desired timing of marriage and first reproduction and desired number of children. We also measured other characteristics (...) to explore the congruence between them and exposure to conflict. Participants from the postconflict society showed indications of faster life-history strategy: greater mating effort, a tendency to marry and have their first child sooner, and a larger desired number of children. Furthermore, interactions between exposure to conflict and participants’ sex were found: females from a postconflict society want to have their child earlier, and males have elevated short-term mating success. Finally, the exposure to violent conflict turned out to have congruent effects with economic poverty but not troublesome family relations. The findings are in accordance with life-history theory and show the adaptiveness of human behavior related to fitness optimization in hostile and dangerous environments. (shrink)

Life history theory is a fruitful source of testable hypotheses about human individual differences. However, this field of study is beset by unresolved debates about basic concepts and methods. One of these controversies concerns the usefulness of instruments that purport to tap a unidimensional life history factor based on a set of self-reported personality, social, and attitudinal variables. Here, we take a novel approach to analyzing the psychometrics of two variants of the Arizona Life History Battery: the Mini-K and the (...) K-SF-42. Psychological network analysis generates models in which psychological variables comprise the nodes of a network, while partial correlation coefficients between these variables comprise the edges of the network. Centrality indices operationalize each node’s importance based on the pattern of the connections in which that node plays a role. Because childhood environments are hypothesized to influence adult LH, we tested the hypothesis that among the Mini-K items, and the K-SF-42 scales, those that tap relationships with parents are central to the networks constructed from these instruments. In an MTurk sample and an undergraduate sample that completed the Mini-K, and an MTurk sample that completed the K-SF-42, this hypothesis was falsified. Indeed, the “relationships with parents” items were among the most peripheral in all three networks. We propose that network analysis, as an alternative to latent variable modeling, offers considerable potential to test hypotheses about the input-output mappings of specific evolved psychological mechanisms. (shrink)

A high risk of morbidity-mortality caused by a harsh and unpredictable environment is considered to be associated with a fast life history strategy, commonly linked with criminal behavior. However, offenders are not the only group with a high exposure to extrinsic morbidity-mortality. In the present study, we investigated the LH strategies employed by two groups of Polish men: incarcerated offenders as well as soldiers and firefighters, whose professions involve an elevated risk of injury and premature death. The subjects were asked (...) to complete the Mini-K and a questionnaire which included a number of biodemographic LH variables. Although biodemographic and psychosocial LH indicators should be closely linked with each other, the actual connection between them is unclear. Thus, this study was driven by two aims: comparing LH strategies in two groups of men with a high risk of premature morbidity-mortality and investigating the relationship between the biodemographic and psychosocial LH dimensions. The study showed that incarcerated men employed faster LH strategies than soldiers and firefighters, but only in relation to biodemographic variables. No intergroup differences emerged regarding psychosocial LH indicators. Moreover, the correlation analysis showed a weak association between biodemographic and psychosocial LH indicators. The results strengthen the legitimacy of incorporating biodemographic LH traits into research models and indicate the need for further research on the accuracy of the Mini-K. The possible explanations for the intergroup differences in LH strategies are discussed. (shrink)

An increasingly central part of the scientific debate in sports has come to focus on how neuroscience can help to explain sports performance and development of expertise. In particular, the process...