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• W4224210005 abstract "Aims and objectives: The study investigated narrative microstructure skills of Arabic-speaking immigrant children in Canada ( N = 75; age range 7–12 years) with specific focus on diglossia and the lexical distance between Spoken Arabic (SpA) and Standard Arabic (StA). The study also tested the relationship between microstructure and macrostructure and probed into the relative importance of general versus diglossia-specific features of microstructure in predicting macrostructure. Design/methodology/approach: Participants were asked to tell a story from a picture using an Arabic version of the Test of Narrative Language (Gillam & Pearson, 2004). Instructions to participants were given in StA. Data and analysis: General measures of microstructure were coded: number of tokens, number of types, type/token ratio, and mean length of utterance (MLU). In addition to these general measures, we coded the average frequency of five diglossia-specific word types: (a) identical words, which keep the same phonological form in StA and SpA; (b) SpA cognates, namely, cognate words that keep different yet related forms in StA and SpA, used in their SpA form; (c) StA cognates, cognate words used in their StA forms; (d) unique SpA words; and (e) unique StA words. Regression analysis was used to predict macrostructure from general and diglossia-specific features of microstructure. Findings/conclusions: Results showed that the bulk of the lexicon of the narratives produced by immigrant children consisted of words and word forms that are within SpA: identical words, SpA cognates, and unique SpA words; StA word forms appeared less frequently, and English code-switched words were very rare. Results also showed that the microstructure features of narrative length in tokens and type/token ratio significantly predicted macrostructure beyond the children’s age and Arabic language proficiency. However, when diglossia-specific lexical features were added as predictors, the frequency of StA words predicted unique variance in macrostructure beyond age, Arabic language proficiency, and narrative length. Findings advance our understanding of narrative skills in Arabic diglossia among new immigrants and the role of lexical distance in narrative production in this context. Originality: The study is innovative in investigating the manifestation of diglossia in narrative microstructure features and the role of diglossia-specific features in predicting macrostructure, as well as in testing this question among immigrant children. Significance/implications: The study demonstrates the multifaceted lexicon of diglossic Arabic speakers as reflected in the microstructure of their narratives and the prevalence of SpA word forms in their lexicons. The study also demonstrates a significant relationship between microstructure and macrostructure, and the important role of StA lexical features of microstructure in predicting macrostructure. The results of the study have theoretical implications for the importance of lexical distance in understanding narrative production in children at both the microstructure and macrostructure levels. The study also has practical implications for assessment and intervention with Arabic-speaking children in diglossic Arabic." @default.
• W4224210005 created "2022-04-26" @default.
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• W4224210005 date "2022-04-20" @default.
• W4224210005 modified "2023-10-18" @default.
• W4224210005 title "Narrative microstructure and macrostructure skills in Arabic diglossia: The case of Arab immigrant children in Canada" @default.
• W4224210005 cites W1122641746 @default.
• W4224210005 cites W1209835234 @default.
• W4224210005 cites W130024502 @default.
• W4224210005 cites W1512766910 @default.
• W4224210005 cites W1527971630 @default.
• W4224210005 cites W1581216125 @default.
• W4224210005 cites W1891821132 @default.
• W4224210005 cites W1985426408 @default.
• W4224210005 cites W1989841706 @default.
• W4224210005 cites W1990117165 @default.
• W4224210005 cites W2004393655 @default.
• W4224210005 cites W2005704461 @default.
• W4224210005 cites W2009023961 @default.
• W4224210005 cites W2009674799 @default.
• W4224210005 cites W2016116481 @default.
• W4224210005 cites W2020939309 @default.
• W4224210005 cites W2022590253 @default.
• W4224210005 cites W2025417494 @default.
• W4224210005 cites W2031750697 @default.
• W4224210005 cites W2039923548 @default.
• W4224210005 cites W2049693629 @default.
• W4224210005 cites W2052194991 @default.
• W4224210005 cites W2060019332 @default.
• W4224210005 cites W2063885695 @default.
• W4224210005 cites W2069110730 @default.
• W4224210005 cites W2069550998 @default.
• W4224210005 cites W2069735487 @default.
• W4224210005 cites W2083964310 @default.
• W4224210005 cites W2088192308 @default.
• W4224210005 cites W2089724969 @default.
• W4224210005 cites W2091186884 @default.
• W4224210005 cites W2108638191 @default.
• W4224210005 cites W2111762971 @default.
• W4224210005 cites W2113941258 @default.
• W4224210005 cites W2117638109 @default.
• W4224210005 cites W2125211605 @default.
• W4224210005 cites W2129322551 @default.
• W4224210005 cites W2132135688 @default.
• W4224210005 cites W2137443958 @default.
• W4224210005 cites W2144714786 @default.
• W4224210005 cites W2146111259 @default.
• W4224210005 cites W2154600138 @default.
• W4224210005 cites W2157763940 @default.
• W4224210005 cites W2161135314 @default.
• W4224210005 cites W2167815129 @default.
• W4224210005 cites W2193965211 @default.
• W4224210005 cites W2208119393 @default.
• W4224210005 cites W2225395177 @default.
• W4224210005 cites W2271771726 @default.
• W4224210005 cites W2279753633 @default.
• W4224210005 cites W2303152099 @default.
• W4224210005 cites W2341264364 @default.
• W4224210005 cites W2394544266 @default.
• W4224210005 cites W2493813802 @default.
• W4224210005 cites W2516421576 @default.
• W4224210005 cites W2528810740 @default.
• W4224210005 cites W2551243688 @default.
• W4224210005 cites W2558139209 @default.
• W4224210005 cites W2736647809 @default.
• W4224210005 cites W2737838656 @default.
• W4224210005 cites W2745406640 @default.
• W4224210005 cites W2768713141 @default.
• W4224210005 cites W2768961512 @default.
• W4224210005 cites W2792777689 @default.
• W4224210005 cites W2802758709 @default.
• W4224210005 cites W2809405759 @default.
• W4224210005 cites W2887298767 @default.
• W4224210005 cites W2965434590 @default.
• W4224210005 cites W3086479228 @default.
• W4224210005 cites W3099173991 @default.
• W4224210005 cites W3119429084 @default.
• W4224210005 cites W3137902746 @default.
• W4224210005 cites W3164274196 @default.
• W4224210005 cites W3209725108 @default.
• W4224210005 cites W4226317029 @default.
• W4224210005 cites W4233910722 @default.
• W4224210005 cites W4240298715 @default.
• W4224210005 cites W4243532749 @default.
• W4224210005 cites W4251747440 @default.
• W4224210005 cites W59703859 @default.
• W4224210005 cites W2256777228 @default.
• W4224210005 doi "https://doi.org/10.1177/13670069221077306" @default.
• W4224210005 hasPublicationYear "2022" @default.
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