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      A multidimensional implicit approach to gender stereotypes

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          Abstract

          Research has widely explained gender inequalities in terms of gender stereotypes, according to which women are considered more nurturing, empathic, and emotional but less competent – than men. Recent evidence highlights that especially women are portrayed along multiple dimensions. In this research, we adopted an implicit Semantic Misattribution procedure to detect whether gender stereotypes have a multidimensional structure and are differently attributed to men and women. Results showed that Competence and Dominance-related terms were considered more masculine ones. In contrast, Morality and Physical Attractiveness were attributed to feminine ideograms to a higher and significant extent than masculine ones. Sociability was related to feminine and masculine ideograms almost to the same extent. The gathered evidence provided a multidimensional picture even composed of more judgment dimensions with reference to women highlighting how it can be difficult for them to meet all those multiple expectancies.

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          Most cited references50

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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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            Measuring individual differences in implicit cognition: the implicit association test.

            An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (2-choice task (e.g., flower vs. insect names), and the attribute in a 2nd task (e.g., pleasant vs. unpleasant words for an evaluation attribute). When instructions oblige highly associated categories (e.g., flower + pleasant) to share a response key, performance is faster than when less associated categories (e.g., insect & pleasant) share a key. This performance difference implicitly measures differential association of the 2 concepts with the attribute. In 3 experiments, the IAT was sensitive to (a) near-universal evaluative differences (e.g., flower vs. insect), (b) expected individual differences in evaluative associations (Japanese + pleasant vs. Korean + pleasant for Japanese vs. Korean subjects), and (c) consciously disavowed evaluative differences (Black + pleasant vs. White + pleasant for self-described unprejudiced White subjects).
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              A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition.

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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1731343/overviewRole: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/377531/overviewRole: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/537286/overviewRole: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/615610/overviewRole: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1100255/overviewRole: Role: Role: Role: Role: Role:
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                10 November 2023
                2023
                : 14
                : 1280207
                Affiliations
                [1] 1Department of Psychology ‘Renzo Canestrari’, Alma Mater Studiorum, University of Bologna , Bologna, Italy
                [2] 2Department of Psychology, The Catholic University of the Sacred Heart , Milan, Italy
                Author notes

                Edited by: Marco Salvati, University of Verona, Italy

                Reviewed by: Federica Spaccatini, University of Perugia, Italy; Carmen Cervone, University of Padua, Italy

                *Correspondence: Sara Panerati, sara.panerati2@ 123456unibo.it

                These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpsyg.2023.1280207
                10667913
                38022954
                e6c18e05-141f-4920-aec3-d08159dc300d
                Copyright © 2023 Panerati, Rubini, Giannella, Menegatti and Moscatelli.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 19 August 2023
                : 16 October 2023
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 50, Pages: 9, Words: 7575
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The research reported in this paper was supported by funds of the Project PRIN 2022BXT34T “The Ppsychology of Gender Inequality Processes Underlying the Status Quo and Actions for Social Change” awarded to MR.
                Categories
                Psychology
                Original Research
                Custom metadata
                Gender, Sex and Sexualities

                Clinical Psychology & Psychiatry
                gender inequalities,implicit method,competence,dominance,sociability,morality,attractiveness

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