We investigated the relationship between the scores assigned by an Automated Essay Scoring (AES) system, the Intelligent Essay Assessor (IEA), and grades allocated by trained, professional human raters to English essay writing by instigating two procedures novel to written-language assessment: the logistic transformation of AES raw scores into…

Comparative Judgement (CJ) is an evaluation method, typically conducted online, whereby a rank order is constructed, and scores calculated, from judges' pairwise comparisons of performances. CJ has been researched in various educational contexts, though only rarely in English as a Foreign Language (EFL) writing settings, and is generally agreed to…

In this Brief Report, we describe an evaluation of and revisions to a rubric adapted from the Jacobs et al.'s (1981) ESL COMPOSITION PROFILE, with four rubric categories and 20-point rating scales, in the context of an intensive English program writing placement test. Analysis of 4 years of rating data (2016-2021, including 434 essays) using…

This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…

The C-test is a type of gap-filling test designed to efficiently measure second language proficiency. The typical C-test consists of several short paragraphs with the second half of every second word deleted. The words with deleted parts are considered as items nested within the corresponding paragraph. Given this testlet structure, it is commonly…

Automated essay scoring (AES) has emerged as a secondary or as a sole marker for many high-stakes educational assessments, in native and non-native testing, owing to remarkable advances in feature engineering using natural language processing, machine learning, and deep-neural algorithms. The purpose of this study is to compare the effectiveness…

With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

The academic section of the Vocabulary Levels Test (VLT-Ac) and the Academic Vocabulary Test (AVT) both assess meaning-recognition knowledge of written receptive academic vocabulary, deemed central for engagement in academic activities. Depending on the purpose and context of the testing, either of the tests can be appropriate, but for research…

This study examines the decision-making behaviors of raters with varying levels of experience while assessing EFL essays of distinct qualities. The data were collected from 28 raters with varying levels of rating experience and working at the English language departments of different universities in Turkey. Using a 10-point analytic rubric, each…

This test review focuses on the current version (2009) of [Chinese characters omitted] (Hanyu Shuiping Kaoshi), literally translated as the Chinese Language Proficiency Test and abbreviated as HSK. Tailored to non-native speakers of the Chinese language, this test consists of six proficiency levels (Levels 1 and 2 as beginners, Levels 3 and 4 as…

Measuring language dominance, broadly defined as the relative strength of each of a bilingual's two languages, remains a crucial methodological issue in bilingualism research. While various methods have been proposed, the Bilingual Language Profile (BLP) has been one of the most widely used tools for measuring language dominance. While previous…

As automated scoring systems for spoken responses are increasingly used in language assessments, testing organizations need to analyze their performance, as compared to human raters, across several dimensions, for example, on individual items or based on subgroups of test takers. In addition, there is a need in testing organizations to establish…

This study investigates whether re-thinking the separation of lexis and grammar in language testing could lead to more valid inferences about proficiency across modes. As argued by Römer, typical scoring rubrics ignore important information about proficiency encoded at the lexis-grammar interface, in particular how the co-selection of lexical and…

Second-language (L2) testing researchers have explored the relationship between speakers' overall speaking ability, reflected by holistic scores, and the speakers' performance on speaking subcomponents, reflected by analytic scores (e.g., McNamara, 1990; Sato, 2011). These research studies have advanced applied linguists' understanding of how…

The primary purpose of the Test of English for International Communication (TOEIC®) is to measure the everyday English skills of individuals, who speak a first language other than English, working in an international environment (ETS, 2015a, 2016a; Powers & Powers, 2015). The TOEIC also has six secondary purposes: (1) to verify the current…