Narrative microstructure and macrostructure skills in Arabic diglossia: The case of Arab immigrant children in Canada

Author:

Asli-Badarneh AbeerORCID,Hipfner-Boucher Kathleen,Bumgardner Xi Chen,AlJanaideh Redab1,Saiegh Haddad Elinor2

Affiliation:

1. University of Toronto, Canada

2. Bar-Ilan University, Israel

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.

Publisher

SAGE Publications

Subject

Linguistics and Language,Language and Linguistics,Education

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3