Revisiting the validity of the vocabulary learning strategies questionnaire using the confirmatory composite analysis (CCA): Setting new directions for the field

Author:

Alamer Abdullah12ORCID,Sonbul Suhad3ORCID,El‐Dakhs Dina Abdel Salam4ORCID

Affiliation:

1. Department of English King Faisal University Al Ahsa Saudi Arabia

2. School of Education The University of New South Wales Sydney Australia

3. Umm Al‐Qura University Makkah Saudi Arabia

4. College of Humanities and Sciences Prince Sultan University Riyadh Saudi Arabia

Abstract

AbstractVocabulary learning strategies (VLSs) are one of the key variables that allow researchers to understand learners’ success in second language (L2) learning. Different questionnaires are available to examine L2 learners' use of VLSs, but most of them suffered from problems while gathering sufficient statistical evidence. The present study sought to replicate the construct validity of the VLS questionnaire from a different statistical perspective. Particularly, we conceive of the nine constructs of VLSs as emergent variables (composite) rather than latent variables (common factor). In contrast to latent variables, emergent variables are constructs that are formed by their items. To test this proposition, we make use of the confirmatory composite analysis (CCA), which is akin to confirmatory factor analysis (CFA), that was developed for assessing emergent variables. To evaluate the CCA model of VLSs, 216 Saudi university students of English completed an online questionnaire. The results indicated that CCA better fitted our data while CFA appeared to provide a less than acceptable fit. Moreover, we examined the criterion‐related validity of the VLSs through the composite model and showed that two constructs, inferencing and self‐initiation positively related to self‐perception of English proficiency. Overall, the findings seem to suggest that the VLSs are better seen as made of emergent variables, with the items defining the constructs. The findings hold methodological and empirical implications for the L2 research.

Funder

King Faisal University

Prince Sultan University

Publisher

Wiley

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