Statistical indices of masculinity-femininity: A theoretical and practical framework.

Gender diagnosticity Masculinity-femininity Measurement error Multivariate analysis Sex differences

Journal

Behavior research methods

ISSN: 1554-3528

Titre abrégé: Behav Res Methods

Pays: United States

ID NLM: 101244316

Informations de publication

Date de publication:
04 Mar 2024

Historique:

accepted: 13 02 2024

medline: 5 3 2024

pubmed: 5 3 2024

entrez: 4 3 2024

Statut: aheadofprint

Résumé

Statistical indices of masculinity-femininity (M-F) summarize multivariate profiles of sex-related traits as positions on a single continuum of individual differences, from masculine to feminine. This approach goes back to the early days of sex differences research; however, a systematic discussion of alternative M-F indices (including their meaning, their mutual relations, and their psychometric properties) has been lacking. In this paper I present an integrative theoretical framework for the statistical assessment of masculinity-femininity, and provide practical guidance to researchers who wish to apply these methods to their data. I describe four basic types of M-F indices: sex-directionality, sex-typicality, sex-probability, and sex-centrality. I examine their similarities and differences in detail, and consider alternative ways of computing them. Next, I discuss the impact of measurement error on the validity of these indices, and outline some potential remedies. Finally, I illustrate the concepts presented in the paper with a selection of real-world datasets on body morphology, brain morphology, and personality. An R function is available to easily calculate multiple M-F indices from empirical data (with or without correction for measurement error) and draw summary plots of their individual and joint distributions.

Identifiants

DOI: 10.3758/s13428-024-02369-5 PMID: 38438655

pubmed: 38438655

doi: 10.3758/s13428-024-02369-5

pii: 10.3758/s13428-024-02369-5

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Informations de copyright

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