ERIC EJ1078759: Schema Based Analysis of Gendered pdf

ERIC EJ1078759: Schema Based Analysis of Gendered

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This paper reports a textual analysis of letters written by 21 male and 21 female participants in Persian. Each writer wrote two letters, one to a dating service and another one to a hypothetical person chosen and introduced by the center. Therefore, a total of 84 letters were collected from the participants. Schema theory was used to find the possible gendered differences between male and female self-disclosure letters. The results of this study confirmed that men and women used significantly different semantic, syntactic and parasyntactic schemata (?[superscript 2] = 30.37, df = 2, p < 0.0001), they also wrote differently in terms of the type of schemata forming the genera of the domains. Further descriptive analysis indicated that semantic domain accounted for 74.44% of all schema types used in male letters and 78.98% of the schemata used in female letters

• Creator/s: ERIC
• Date: 2012-01
• Year: 2012
• Book Topics/Themes: ERIC Archive, Indo European Languages, Letters (Correspondence), Dating (Social), Interpersonal Communication, Schemata (Cognition), Gender Differences, Self Disclosure (Individuals), Semantics, Syntax, Language Usage, Discourse Analysis, Grammar, Nouns, Verbs, Form Classes (Languages), Undergraduate Students, Coding, Identification (Psychology), Statistical Analysis, Foreign Countries, Khodadady, Ebrahim|Mehr, Somayeh Javadi

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