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Direct linkMacqueen, Susy; Knoch, Ute; Wigglesworth, Gillian; Nordlinger, Rachel; Singer, Ruth; McNamara, Tim; Brickle, Rhianna – Language Testing, 2019
All educational testing is intended to have consequences, which are assumed to be beneficial, but tests may also have unintended, negative consequences (Messick, 1989). The issue is particularly important in the case of large-scale standardized tests, such as Australia's "National Assessment Program--Literacy and Numeracy" (NAPLAN), the…
Descriptors: Numeracy, Standardized Tests, National Curriculum, Testing Programs
Kyle, Kristopher; Crossley, Scott A.; McNamara, Danielle S. – Language Testing, 2016
This study explores the construct validity of speaking tasks included in the TOEFL iBT (e.g., integrated and independent speaking tasks). Specifically, advanced natural language processing (NLP) tools, MANOVA difference statistics, and discriminant function analyses (DFA) are used to assess the degree to which and in what ways responses to these…
Descriptors: Construct Validity, Natural Language Processing, Speech Skills, Speech Acts
Bridgeman, Brent; Cho, Yeonsuk; DiPietro, Stephen – Language Testing, 2016
Data from 787 international undergraduate students at an urban university in the United States were used to demonstrate the importance of separating a sample into meaningful subgroups in order to demonstrate the ability of an English language assessment to predict the first-year grade point average (GPA). For example, when all students were pooled…
Descriptors: Grade Prediction, English Curriculum, Language Tests, Undergraduate Students
