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| Gender Schema Measurement× | Modern Sexism Scale× | |
|---|---|---|
| Πεδίο | Gender Studies | Gender Studies |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1981 | 1995 |
| Δημιουργός≠ | Sandra Lipsitz Bem | Janet K. Swim, Kathryn J. Aikin, Wayne S. Hall, and Barbara A. Hunter |
| Τύπος≠ | Cognitive-processing assessment | Self-report attitude scale |
| Θεμελιώδης πηγή≠ | Bem, S. L. (1981). Gender schema theory: A cognitive account of sex typing. Psychological Review, 88(4), 354–364. DOI ↗ | Swim, J. K., Aikin, K. J., Hall, W. S., & Hunter, B. A. (1995). Sexism and racism: Old-fashioned and modern prejudices. Journal of Personality and Social Psychology, 68(2), 199–214. DOI ↗ |
| Εναλλακτικές ονομασίες | Gender Schematicity Measurement, Gender Schema Assessment, Schematic Gender Processing Measure | MSS, Swim Modern Sexism Scale, Neosexism |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | Gender schema measurement assesses the degree to which a person organises and processes information through the lens of gender. Grounded in Sandra Bem's 1981 gender schema theory, it treats sex typing not merely as a set of traits but as a cognitive readiness to sort the world — including the self — into masculine and feminine categories. Measurement combines self-report sex-typing scores, typically from the Bem Sex-Role Inventory, with experimental tasks that reveal how spontaneously a person uses gender to encode and recall information. | The Modern Sexism Scale, developed by Janet Swim and colleagues in 1995, distinguishes between old-fashioned (blatant) sexism and modern (subtle) sexism, paralleling work on old-fashioned versus modern racism. The accompanying Old-Fashioned Sexism Scale captures openly endorsed beliefs in women's inferiority and prescribed traditional roles, while the Modern Sexism Scale captures covert sexism expressed through denial of continuing discrimination, antagonism toward women's demands, and resentment of policies perceived as special favours. |
| ScholarGateΣύνολο δεδομένων ↗ |
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