Research

Lexxica Documents

V-Check and WordEngine Academic FAQ (Ver. 1.8) Cihi, G., Browne, C., & Culligan, B. (2013)
This article presents detailed responses to questions most frequently asked by EFL-ESL teachers and program directors. If you do not find the answers you are looking for, please submit your questions here: Contact Us.
WordEngine - Introduction Lexxica (2014)
This two page flier is a handy way to introduce teachers and curriculum committees to the attributes and benefits of the WordEngine. You can print it out, or email a link.
Lexxica's Test Score Conversion Methodology Cihi, G. (2013)
This paper explains how we convert V-Check vocabulary scores into the TOEIC, TOEFL and IELTS scores reported in V-Check and V-Admin.
Word Difficulty, Word Frequency, and Spaced Repetition Cihi, G. (2012)
This paper briefly introduces the main attributes and characteristics of word difficulty, word frequency, and spaced repetition. Features and benefits of Lexxica's Word Engine high speed learning system are also introduced.
Word Engineers Get Ahead Faster! Cihi, G. (2012)
This paper briefly introduces the correlation between vocabulary size and TOEIC test scores, citing data from 8,594 respondents. Based on the findings of independent university researchers, the author suggests that Lexxica's Word Engine is a game changer that can quickly boost comprehension and test scores.
The Word Engine: Building Vocabulary, Reading and Listening Skills through Cell Phones, iPods and PCs Browne C., Cihi, G. & Culligan, B. (2007)
This article gives a brief introduction to Lexxica's Word Engine, a set of supplementary learning tools designed to teach the most important high frequency words that each student needs to learn. Key technologies which provide opportunities for efficient vocabulary acquisition and extensive reading and listening are explained.
Measuring Vocabulary Size via Online Technology Browne, Cihi and Culligan (2007)
This article provides an introduction to some of the key concepts underlying Lexxica's patent-pending learning technologies as well as key research articles which inform our thinking.
Item Response Theory, Reliability and Standard Error Culligan, B. (2007)
After reviewing how the Reliability Index, K-R20, and the Standard Error of Measurement are calculated under Classical Test Theory, this paper then discusses the basic principles of Item Response Theory, and how the Information Function is used to obtain a Standard Error of the Estimate, a statistic similar to the SEM. The paper concludes with an explanation of how this affects the scores reported by V-Check and how the scores can be interpreted.