Language Testing

This article explores the nature of the construct underlying classroom-based English for academic purpose (EAP) oral presentation assessments, which are used, in part, to determine admission to programmes of study at UK universities. Through analysis of qualitative data (from questionnaires, interviews, rating discussions, and fieldnotes), the article highlights how, in EAP settings, there is a tendency for the rating criteria and EAP teacher assessors to sometimes focus too narrowly on particular spoken linguistic aspects of oral presentations. This is in spite of student assessees drawing on, and teacher assessors valuing, the multimodal communicative affordances available in oral presentation performances. To better avoid such construct underrepresentation, oral presentation tasks should be acknowledged and represented in rating scales, teacher assessor decision-making, and training in EAP contexts.

As integrated writing tasks in large-scale and classroom-based writing assessments have risen in popularity, research studies have increasingly concentrated on providing validity evidence. Given the fact that most of these studies focus on adult second language learners rather than younger ones, this study examined the relationship between written discourse features, vocabulary support, and integrated listening-to-write scores for adolescent English learners. The participants of this study consisted of 198 Taiwanese high school students who completed two integrated listening-to-write tasks. Prior to each writing task, a list of key vocabulary was provided to aid the students’ comprehension of the listening passage. Their written products were coded and analyzed for measures of discourse features and vocabulary use, including complexity, accuracy, fluency, organization, vocabulary use ratio, and vocabulary use accuracy. We then adopted descriptive statistics and hierarchical linear regression analyses to investigate the extent to which such measures were predictive of integrated listening-to-write test scores. The results showed that fluency, organization, grammatical accuracy, and vocabulary use accuracy were significant predictors of the writing test scores. Moreover, the results revealed that providing vocabulary support may not necessarily jeopardize the validity of integrated listening-to-write tasks. The implications for research and test development were also discussed.

In order to inform English foreign language (EFL) diagnostic assessment of literacy, this study examined the extent to which 175 first-language Hebrew-speaking EFL young learners from fifth to tenth grade exhibited differences in single-letter grapheme recognition, sub-word, and word reading, and rapid automatized naming (RAN) of letters and numbers. In addition, this cross-sectional quasi-experimental quantitative study examined correlations between the aforementioned literacy components and oral reading speed, spelling, vocabulary, syntax, and morphological awareness. There were no differences between the grades for single-letter grapheme recognition, and participants demonstrated incomplete automatic recognition for this task. Sub-word recognition improved across grades. However, the results highlighted a lack of mastery. Sub-word recognition correlated with word reading and spelling throughout. RAN speeded measures and oral reading speed correlated with sub-word, word recognition, and spelling in the older grades illustrating the presence of accuracy and speed components. Correlations across grades between literacy components and vocabulary, syntax, and morphological awareness provided support for theories explaining how knowledge of multiple layers of words contributes to literacy acquisition. These results comprising EFL diagnostic assessment can inform reading and spelling teaching and learning.

The purpose of this paper is to (a) establish whether meaning recall and meaning recognition item formats test psychometrically distinct constructs of vocabulary knowledge which measure separate skills, and, if so, (b) determine whether each construct possesses unique properties predictive of L2 reading proficiency. Factor analyses and hierarchical regression were conducted on results derived from the two vocabulary item formats in order to test this hypothesis. The results indicated that although the two-factor model had better fit and meaning recall and meaning recognition can be considered distinct psychometrically, discriminant validity between the two factors is questionable. In hierarchical regression models, meaning recognition knowledge did not make a statistically significant contribution to explaining reading proficiency over meaning recall knowledge. However, when the roles were reversed, meaning recall did make a significant contribution to the model beyond the variance explained by meaning recognition alone. The results suggest that meaning recognition does not tap into unique aspects of vocabulary knowledge and provide empirical support for meaning recall as a superior predictor of reading proficiency for research purposes.

Cognitive diagnostic assessment (CDA) intends to identify learners’ strengths and weaknesses in latent cognitive attributes to provide personalized remedial instructions. Previous CDA studies on English as a Foreign Language (EFL)/English as a Second Language (ESL) writing have adopted dichotomous cognitive diagnostic models (CDMs) to analyze data from checklists using simple yes/no judgments. Compared to descriptors with multiple levels, descriptors with only yes/no judgments were considered too absolute, potentially resulting in misjudgment of learners’ writing ability. However, few studies have used polytomous CDMs to analyze graded response data from rating scales to diagnose writing ability. This study applied polytomous CDMs to diagnose 1166 EFL learners’ writing performance scored with a three-level rating scale. The sG-DINA model was selected after comparing model-data fit statistics of multiple polytomous CDMs. The results of classification accuracy indices and item discrimination indices further demonstrated that sG-DINA had good performance on identifying learners’ strengths and weaknesses. The generated diagnostic information at group and individual levels was further synthesized into a personalized diagnostic report, although its usefulness still requires further investigation. The findings provided evidence for the feasibility of applying polytomous CDM in EFL writing assessment.

We describe the development and initial validation of the “ASL Fingerspelling and Number Comprehension Test” (ASL FaN-CT), a test of recognition proficiency for fingerspelled words in American Sign Language (ASL). Despite the relative frequency of fingerspelling in ASL discourse, learners commonly struggle to produce and perceive fingerspelling more than they do other facets of ASL. However, assessments of fingerspelling knowledge are highly underrepresented in the testing literature for signed languages. After first describing the construct, we describe test development, piloting, revisions, and evaluate the strength of the test’s validity argument vis-à-vis its intended interpretation and use as a screening instrument for current and future employees. The results of a pilot on 79 ASL learners provide strong evidence that the revised test is performing as intended and can be used to make accurate decisions about ASL learners’ proficiency in fingerspelling recognition. We conclude by describing the item properties observed in our current test, and our plans for continued validation and analysis with respect to a battery of tests of ASL proficiency currently in development.

This paper addresses the intersection of testing and policy, situating test-driven impact and validation within the context of policy-led educational reform in Korea. I will briefly review the existing validation models. Then, arguing for an expansion of the conventional conceptualization of consequential validity research, I use Fairclough’s dialectic–relational approach in critical discourse analysis (CDA), positioned in critical and poststructuralist research tradition, to evaluate social realities, such as intended and actual impact of policy-led testing, I take, as an example, the context of the development of the National English Ability Test (NEAT) in Korea, which had been used as a means of implementing government policies. Combining Messick’s validity framework for consequential evidence, Bachman and Palmer’s argument-based approach to validation (assessment use argument, AUA), and Fairclough’s dialectic–relational approach, I will illustrate how the impact of policy-led testing is performed and interpreted as a sociopolitical and discursive phenomenon, constituted and enacted in and through “discourse.” By revisiting the previous Faircloughian research works on NEAT’s impact, I postulate that the discourses arguing for and against social impact acquire their meanings from dialectical standpoints.

Placement tests are used to support a particular need in a local context—to determine the best starting place for a student entering a specific programme of language study. This brief report will focus on the development of an innovative placement test with self-directed elements for our local needs at a university in Canada for students studying English or French as a second language. Our goals are to produce a more efficient assessment instrument while allowing students more agency through the process. We hope that sharing these details will encourage others to consider the potential of incorporating self-directed elements in low-stakes placement decision-making.

Applicants must often demonstrate adequate English proficiency when applying to postsecondary institutions by taking an English language proficiency test, such as the TOEFL iBT, IELTS Academic, or Duolingo English Test (DET). Concordance tables aim to provide equivalent scores across multiple assessments, helping admissions officers to make fair decisions regardless of the test that an applicant took. We present our approaches to addressing practical (i.e., data collection and analysis) challenges in the context of building concordance tables between overall scores from the DET and those from the TOEFL iBT and IELTS Academic tests. We summarize a novel method for combining self-reported and official scores to meet recommended minimum sample sizes for concordance studies. We also evaluate sensitivity of estimated concordances to choices about how to (a) weight the observed data to the target population; (b) define outliers; (c) select appropriate pairs of test scores for repeat test takers; and (d) compute equating functions between pairs of scores. We find that estimated concordance functions are largely robust to different combinations of these choices in the regions of the proficiency distribution most relevant to admissions decisions. We discuss implications of our results for both test users and language testers.

Educational assessments, from kindergarden to 12th grade (K-12) to licensure, have a long, well-documented history of oppression and marginalization. In this paper, we (the authors) ask the field of educational assessment/measurement to actively disrupt the White supremacist and racist logics that fuel this marginalization and re-orient itself toward assessment justice. We describe how a justice-oriented, antiracist validity (JAV) approach to validation processes can support assessment justice efforts, specifically with respect to language assessment. Relying on antiracist principles and critical quantitative methodologies, a JAV approach proposes a set of critical questions to consider when gathering validity evidence, with potential utility for language testers.