ArticleLinguistics vanguard : multimodal online journal2023
Validation of two measures for assessing English vocabulary knowledge on web-based testing platforms: brief assessments.
Article in Linguistics vanguard : multimodal online journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Examining the Relationship Between Multiple Tests of Receptive Vocabulary.Journal of speech, language, and hearing research : JSLHR · 2024Article
- The Web-based Open-access Reliable Decision on Synonyms (WORDS) English Vocabulary Test.Journal of cognition · 2024Article
- Validation of two measures for assessing English vocabulary knowledge on web-based testing platforms: long-form assessments.Linguistics vanguard : multimodal online journal · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Two measures for assessing English vocabulary knowledge, the Vocabulary Size Test (VST) and the Word Familiarity Test (WordFAM), were recently validated for web-based administration. An analysis of the psychometric properties of these assessments revealed high internal consistency, suggesting that stable assessment could be achieved with fewer test items. Because researchers may use these assessments in conjunction with other experimental tasks, the utility may be enhanced if they are shorter in duration. To this end, two "brief" versions of the VST and the WordFAM were developed and submitted to validation testing. Each version consisted of approximately half of the items from the full assessment, with novel items across each brief version. Participants (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.