A Rasch-based validation of the Vietnamese version of the Listening Vocabulary Levels Test

被引:16
|
作者
Hung Tan Ha [1 ]
机构
[1] Univ Econ Ho Chi Minh City, Sch Foreign Languages, 279 Nguyen Tri Phuong St,Dist 10, Ho Chi Minh City, Vietnam
关键词
Vocabulary; Rasch model; Validation; Aural knowledge; Listening vocabulary test; LOCAL DEPENDENCE; LEXICAL COVERAGE; SIZE; KNOWLEDGE; COMPREHENSION; PERFORMANCE; ENGLISH;
D O I
10.1186/s40468-021-00132-7
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The Listening Vocabulary Levels Test (LVLT) created by McLean et al. Language Teaching Research 19:741-760, 2015 filled an important gap in the field of second language assessment by introducing an instrument for the measurement of phonological vocabulary knowledge. However, few attempts have been made to provide further validity evidence for the LVLT and no Vietnamese version of the test has been created to date. The present study describes the development and validation of the Vietnamese version of the LVLT. Data was collected from 311 Vietnamese university students and then analyzed based on the Rasch model using several aspects of Messick's, Educational Measurement, 1989; American Psychologist 50:741-749, 1995 validation framework. Supportive evidence for the test's validity was provided. First, the test items showed very good fit to the Rasch model and presented a sufficient spread of difficulty. Second, the items displayed sound unidimensionality and were locally independent. Finally, the Vietnamese version of the LVLT showed a high degree of generalizability and was found to positively correlate with the IELTS listening test at 0.65.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Is the performance at the implicit association test sensitive to feedback presentation? A Rasch-based analysis
    Epifania, Ottavia M.
    Robusto, Egidio
    Anselmi, Pasquale
    PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG, 2023, 87 (03): : 737 - 750
  • [22] A Rasch-based validation of EFL teachers' received online social support scale
    Ningsih, Sri Kusuma
    Mulyono, Herri
    Ar Rahmah, Rafikah
    Fitriani, Nurul Aprilia
    COGENT EDUCATION, 2021, 8 (01):
  • [23] Development validation and norm values of the Rasch-based Depression Screening. An overview
    Forkmann, Thomas
    Boecker, Maren
    Wirtz, Markus
    Norra, Christine
    Gauggel, Siegfried
    ZEITSCHRIFT FUR KLINISCHE PSYCHOLOGIE UND PSYCHOTHERAPIE, 2012, 41 (01): : 19 - 29
  • [24] A Yes/No Vocabulary Test for Children of Different Age Groups: Development and Validation Based on the Rasch Model
    Trautwein, Jutta
    Schroeder, Sascha
    DIAGNOSTICA, 2019, 65 (01): : 37 - 48
  • [25] Validation of the Rasch-based Depression Screening in a large scale German general population sample
    Forkmann, Thomas
    Boecker, Maren
    Wirtz, Markus
    Glaesmer, Heide
    Braehler, Elmar
    Norra, Christine
    Gauggel, Siegfried
    HEALTH AND QUALITY OF LIFE OUTCOMES, 2010, 8
  • [26] Evaluating Instrument Quality in Science Education: Rasch-based analyses of a Nature of Science test
    Neumann, Irene
    Neumann, Knut
    Nehm, Ross
    INTERNATIONAL JOURNAL OF SCIENCE EDUCATION, 2011, 33 (10) : 1373 - 1405
  • [27] Validation of the Rasch-based Depression Screening in a large scale German general population sample
    Thomas Forkmann
    Maren Boecker
    Markus Wirtz
    Heide Glaesmer
    Elmar Brähler
    Christine Norra
    Siegfried Gauggel
    Health and Quality of Life Outcomes, 8
  • [28] What can Rasch-based scores convey about a person's test performance?
    Woodcock, RW
    NEW RULES OF MEASUREMENT: WHAT EVERY PSYCHOLOGIST AND EDUCATOR SHOULD KNOW, 1999, : 105 - 127
  • [29] Quantifying vocabulary learning belief and strategy-A validation study of the Vietnamese version of Gu's (2018) vocabulary learning questionnaire
    Trang, Nguyen Huynh
    Truong, Duy Vinh
    Ha, Hung Tan
    HELIYON, 2023, 9 (05)
  • [30] Examining test fairness across gender in a computerised reading test: A comparison between the Rasch-based DIF technique and MIMIC
    Zhu, Xuelian
    Aryadoust, Vahid
    PAPERS IN LANGUAGE TESTING AND ASSESSMENT, 2019, 8 (02): : 65 - 90