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The rationale for this study is that self-categorising rating scales are becoming increasingly popular in large-scale survey research moving beyond binary ways of measuring gender. We are referring here to the use of rating scales that are similar to graded scales capturing left–right or liberal–conservative political ideology, that is, scales that do not include predefinitions of the core concepts (femininity/masculinity, as compared to left/right or liberal/conservative). Yet, previous studies including such non-binary gender measures have paid little attention to potential effects of survey designs. Using an experimental set-up, we are able to show that sequencing of gender measurements influences the answers received. Men were especially affected by our treatments and rated themselves as significantly ‘less masculine’ when prompted to reason about the meaning of gender prior to self-categorisation on scales measuring degrees of femininity and masculinity. Moreover, self-categorising seems to trigger more biological understandings of gender than anticipated in theory.
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Stored only when both papers are in the corpus — 14 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.