Nutthavadee Limledjalearnvanit. Corpus-based lexical analysis and readability of English language tests for Thai university admissions. Master's Degree(Applied Linguistics - English for Science and Technology). King Mongkut's Institute of Technology Ladkrabang. Central Library. : King Mongkut's Institute of Technology Ladkrabang, 2014.
Corpus-based lexical analysis and readability of English language tests for Thai university admissions
Abstract:
This study aimed to compile Thais English National Examination Corpus (TENEC) to analyze vocabulary and check the readability of the reading passages in English language tests for Thai university admissions. The data included 14 English exams from Ordinary National Examination Test (O-NET), General Aptitude Test 2 (GAT 2), and University Direct Assess Test (U-DAT) during the year 2006 -2012. The programs used in this study for lexical analysis were WordsSmith Tools Version 6.0 and VocabProfile Classic, and Flesch formulas were used as tools for lexical and readability analysis. The results of lexical vocabulary analysis in term of nouns, verbs, adjectives, and adverbs showed that the noun people appeared at the highest rank, while the word work was the most frequent verb in the corpus. The adjective which occurred most frequently was new while only was the most frequent adverb. Regarding vocabulary levels in this study, the results firstly showed that ONET exams were 87.60% of general words, 3.30% of academic vocabulary, and 9.10% of low frequency words including technical and low frequency words. Secondly, GAT 2 exams were 84.30% of general words, 5.13% of academic vocabulary, and 10.56% of low frequency words. Finally, U-DAT covered in GSL with 2.65%, AWL with 5.69%, and low frequency words with 11.66%
King Mongkut's Institute of Technology Ladkrabang. Central Library