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      Adaptive Memory: Remembering Potential Mates

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          Abstract

          According to the adaptive memory perspective, memory should function more efficiently in fitness-relevant domains. The current work explored whether there is a mnemonic tuning in a fundamental domain for human evolution: reproduction. In two experiments, female participants assessed how desirable potential male candidates (represented by a face and a short descriptor) would be in the context of a long-term mating relationship or in the context of a long-term work relationship. Then, after a short distractor task, participants performed a recognition task for the faces and a source memory task. Finally, they were asked to recall the descriptors presented during encoding. Experiment 1 used a between-subjects design, whereas Experiment 2 employed a within-subject design. In both experiments, participants remembered the faces best when they were encoded in the mating condition. Also, in Experiment 1, source memory performance was better in the mating condition than in the working condition with the reverse being true for free recall of the descriptors. The latter difference was not observed in Experiment 2. These results suggest a potential mnemonic tuning for the faces of potential mate partners.

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          Most cited references38

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Sexual strategies theory: an evolutionary perspective on human mating.

            This article proposes a contextual-evolutionary theory of human mating strategies. Both men and women are hypothesized to have evolved distinct psychological mechanisms that underlie short-term and long-term strategies. Men and women confront different adaptive problems in short-term as opposed to long-term mating contexts. Consequently, different mate preferences become activated from their strategic repertoires. Nine key hypotheses and 22 predictions from Sexual Strategies Theory are outlined and tested empirically. Adaptive problems sensitive to context include sexual accessibility, fertility assessment, commitment seeking and avoidance, immediate and enduring resource procurement, paternity certainty, assessment of mate value, and parental investment. Discussion summarizes 6 additional sources of behavioral data, outlines adaptive problems common to both sexes, and suggests additional contexts likely to cause shifts in mating strategy.
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              THE EFFECTS OF PHYSICAL ATTRACTIVENESS ON JOB-RELATED OUTCOMES: A META-ANALYSIS OF EXPERIMENTAL STUDIES

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                Author and article information

                Journal
                Evol Psychol
                Evol Psychol
                EVP
                spevp
                Evolutionary Psychology
                SAGE Publications (Sage CA: Los Angeles, CA )
                1474-7049
                23 November 2017
                Oct-Dec 2017
                : 15
                : 4
                : 1474704917742807
                Affiliations
                [1 ]Department of Education and Psychology, CINTESIS.UA, University of Aveiro, Aveiro, Portugal
                [2 ]Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
                [3 ]Department of Education and Psychology, CESAM, University of Aveiro, Aveiro, Portugal
                Author notes
                [*]Josefa N. S. Pandeirada, Department of Education and Psychology, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal. Email: josefa@ 123456ua.pt
                Author information
                http://orcid.org/0000-0001-7116-4609
                Article
                10.1177_1474704917742807
                10.1177/1474704917742807
                10367501
                29169264
                e66e4d67-afc9-46c4-bbfd-8d24c4de2082
                © The Author(s) 2017

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 13 July 2017
                : 28 September 2017
                Funding
                Funded by: National Science Foundation, FundRef https://doi.org/10.13039/100000001;
                Award ID: BCS-1532345
                Funded by: Fundação para a Ciência e a Tecnologia, FundRef https://doi.org/10.13039/501100001871 10.13039/501100001871 10.13039/501100001871;
                Award ID: FCOMP-01-0124-FEDER-029610 - PTDC/MHC-PCN/5274/201
                Award ID: IF/00058/2012/CP0172/CT0002
                Award ID: SFRH/BD/109775/2015
                Categories
                Article
                Custom metadata
                October-December 2017

                adaptive memory,mating,recognition,human faces,source memory

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