‘Already given over’ : activism in inquiry and in the world

This is the second of two part-issues on qualitative inquiry as activism. The first focused upon activism and/in the academy (academic work, academic cultures, academic practices, etc.), and this second focuses upon activism in the processes of research itself and activism beyond the academy, in the world. Drawing upon Butler’s claim that we are always already, from the outset, ‘given over’ to the human, non-human and more-than-human other, we argue for qualitative research to do what it can to make the future different, better, more ethical

Accent, listening assessment and the potential for a shared-L1 advantage:a DIF perspective

This paper reports on an investigation of the potential for a shared-L1 advantage on an academic English listening test featuring speakers with L2 accents. Two hundred and twelve second-language listeners (including 70 Mandarin Chinese L1 listeners and 60 Japanese L1 listeners) completed three versions of the University Test of English as a Second Language (UTESL) listening sub-test which featured an Australian English-accented speaker, a Japanese-accented speaker and a Mandarin Chinese-accented speaker. Differential item functioning (DIF) analyses were conducted on data from the tests which featured L2-accented speakers using two methods of DIF detection – the standardization procedure and the Mantel-Haenszel procedure – with candidates matched for ability on the test featuring the Australian English-accented speaker. Findings showed that Japanese L1 listeners were advantaged on a small number of items on the test featuring the Japanese-accented speaker, but these were balanced by items which favoured non-Japanese L1 listeners. By contrast, Mandarin Chinese L1 listeners were clearly advantaged across several items on the test featuring a Mandarin Chinese L1 speaker. The implications of these findings for claims of bias are discussed with reference to the role of speaker accent in the listening construct

The effects of linguistic factors on student performance on economics multiple choice questions

This paper proposes a framework to analyse performance on multiple choice questions with the focus on linguistic factors. Item Response Theory (IRT) is deployed to estimate ability and question difficulty levels. A logistic regression model is used to detect Differential Item Functioning questions. Probit models testify relationships between performance and linguistic factors controlling the effects of question construction and students’ background. Empirical results have important implications. The lexical density of stems affects performance. The use of non-Economics specialised vocabulary has differing impacts on the performance of students with different language backgrounds. The IRT-based ability and difficulty help explain performance variations