Validating the Japanese Translation of an Online Vocabulary Learning Strategies Questionnaire With <scp>EFL</scp> Learners

ABSTRACT Questionnaires play a significant role in language learning strategy (LLS) research: they are useful for collecting data quickly, providing baselines for comparison, and raising learners' awareness of their strategy use. However, pre‐existing questionnaires are often criticized for lack of validation and being contextually inappropriate. To address this, researchers need to validate and translate questionnaires for their intended context and audience. This study's aim is to validate Gu's VLQ6.4 (2018), developed for ESL learners, with Japanese university EFL learners. As piloting indicated the English was too difficult for some learners to understand, a Japanese translation of the questionnaire (VLQ6.4J) was created. To validate VLQ6.4J, it was administered online to Japanese university EFL students. Data from 501 students were analyzed using Cronbach's alpha, exploratory factor analysis (EFA), and criterion‐related validity using CEFR. Although VLQ6.4J correlated with CEFR levels as a whole, Cronbach's alpha and EFA suggested some VLQ6.4J categories, specifically words should be learned through use , oral repetition , visual repetition , and visual encoding , may not fit Japanese learners. Nevertheless, VLQ6.4J appears to be usable for research and diagnostic purposes although eliminating those categories and conducting confirmatory factor analysis is recommended. The findings, pedagogical implications, and suggestions for further investigations are discussed.

Authors

Institutions

Publication Details

Journal
TESOL Journal
Published
2026-01-26
DOI
https://doi.org/10.1002/tesj.70103
Primary Topic
Second Language Acquisition and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validating the Japanese Translation of an Online Vocabulary Learning Strategies Questionnaire With EFL Learners

Andrea Little, Kaoru Kobayashi
TESOL Journal
Second Language Acquisition and Learning
article

Validating the Japanese Translation of an Online Vocabulary Learning Strategies Questionnaire With EFL Learners

Andrea Little, Kaoru Kobayashi
article en

Abstract

ABSTRACT Questionnaires play a significant role in language learning strategy (LLS) research: they are useful for collecting data quickly, providing baselines for comparison, and raising learners' awareness of their strategy use. However, pre‐existing questionnaires are often criticized for lack of validation and being contextually inappropriate. To address this, researchers need to validate and translate questionnaires for their intended context and audience. This study's aim is to validate Gu's VLQ6.4 (2018), developed for ESL learners, with Japanese university EFL learners. As piloting indicated the English was too difficult for some learners to understand, a Japanese translation of the questionnaire (VLQ6.4J) was created. To validate VLQ6.4J, it was administered online to Japanese university EFL students. Data from 501 students were analyzed using Cronbach's alpha, exploratory factor analysis (EFA), and criterion‐related validity using CEFR. Although VLQ6.4J correlated with CEFR levels as a whole, Cronbach's alpha and EFA suggested some VLQ6.4J categories, specifically words should be learned through use , oral repetition , visual repetition , and visual encoding , may not fit Japanese learners. Nevertheless, VLQ6.4J appears to be usable for research and diagnostic purposes although eliminating those categories and conducting confirmatory factor analysis is recommended. The findings, pedagogical implications, and suggestions for further investigations are discussed.

TESOL JournalVol. 17(1)
Tokyo University of Agriculture (JP), Tokyo University of Pharmacy and Life Sciences (JP)
Quality Education
Openalex Percentile: Top 79%
Second Language Acquisition and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.