Application of Structural Equation Modeling in Assessing the Relationship Between Stuttering Students' Cognitive and Metacognitive Strategies and Their Reading Comprehension Performance

被引:0
|
作者
Ghaemi H. [1 ]
Ghaemi H. [1 ]
机构
[1] Department of English, Gonabad Branch, Islamic Azad University (IAU), Gonabad
[2] Department of Speech and Language Pathology, Mashhad University of Medical Science, Mashhad
关键词
Cognitive strategies; Metacognitive strategies; Structural Equation Modeling (SEM); Stuttering Students;
D O I
10.1186/2229-0443-1-2-7
中图分类号
学科分类号
摘要
Language testing is not limited to assessing the performance of ordinary learners. It is also needed in other field such as assessing the ability of children with disabilities, those who have language disorders. Although a great deal of research has been carried out in the realm of stuttering, researchers still do not know why some children stutter, or why most children become fluent speakers while others become adult stutterers. Studies show that Stuttering students have many difficulties in Reading Comprehension (Roberts & Erdos, 1993). It is stated in the Reading Comprehension literature that cognitive and metacognitive strategies have a crucial role in reading comprehension performance. The present study aims at investigating the relationship between cognitive and metacognitive strategies of stuttering students through using Structural Equation Modeling (SEM). The findings of the study show that there is a meaningful relationship between Cognitive and Metacognitive strategies of stuttering students. However, there is no statistically significant relationship between the Cognitive strategies and Reading Comprehension of Stuttering Students. © 2011, Language Testing in Asia.
引用
收藏
相关论文
共 50 条
  • [31] Mediating role of metacognitions in the relationship between cognitive avoidance and smoking addiction: a structural equation modeling
    Evli, Mahmut
    Simsek, Nuray
    CUKUROVA MEDICAL JOURNAL, 2021, 46 (04): : 1640 - 1649
  • [32] Relationships between academic self-efficacy, learning-related emotions, and metacognitive learning strategies with academic performance in medical students: a structural equation model
    Ali Asghar Hayat
    Karim Shateri
    Mitra Amini
    Nasrin Shokrpour
    BMC Medical Education, 20
  • [33] Relationships between academic self-efficacy, learning-related emotions, and metacognitive learning strategies with academic performance in medical students: a structural equation model
    Hayat, Ali Asghar
    Shateri, Karim
    Amini, Mitra
    Shokrpour, Nasrin
    BMC MEDICAL EDUCATION, 2020, 20 (01)
  • [34] Young students' understanding of the relationship between inheritance and variation of traits using structural equation modeling
    Ibourk, Amal
    Williams, Michelle
    Opperman, Amanda
    Cisterna, Dante
    Nazar, Christina Restrepo
    Xie, Yiyu
    SCIENCE EDUCATION, 2018, 102 (06) : 1201 - 1238
  • [35] The relationship between a growth mindset and the learning engagement of nursing students: A structural equation modeling approach
    Xiao, Feng
    Zhang, Zhiwei
    Zhou, Jianrong
    Wu, Huan
    Zhang, Luping
    Lin, Mengdan
    Hu, Lang
    NURSE EDUCATION IN PRACTICE, 2023, 73
  • [36] RELATIONSHIP BETWEEN HUMAN RESOURCE MANAGEMENT, ORGANIZATIONAL CULTURE AND PERFORMANCE: A STRUCTURAL EQUATION MODELING
    Mei, Tang Swee
    Yahya, Khulida Kirana
    Teong, Lim Kong
    INTERNATIONAL JOURNAL OF MANAGEMENT STUDIES, 2015, 22 (01): : 97 - 112
  • [37] The relationship between semantics, phonology, and naming performance in aphasia: a structural equation modeling approach
    Jebahi, Fatima
    Kielar, Aneta
    COGNITIVE NEUROPSYCHOLOGY, 2024, 41 (3-4) : 113 - 128
  • [38] THE RELATIONSHIP BETWEEN READER RESPONSE AND PRIOR KNOWLEDGE ON AFRICAN AMERICAN STUDENTS' READING COMPREHENSION PERFORMANCE USING MULTICULTURAL LITERATURE
    McCullough, Ruanda Garth
    READING PSYCHOLOGY, 2013, 34 (05) : 397 - 435
  • [40] Relationship between quality of life and body image perception in iranian medical students: Structural equation modeling
    Yarmohammadi, Soudabeh
    Ghaffari, Mohtasham
    Yarmohammadi, Hamed
    Koukamari, Parisa Hosseini
    Ramezankhani, Ali
    INTERNATIONAL JOURNAL OF PREVENTIVE MEDICINE, 2020, 11 (01)