Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].

Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…

Studies investigating teacher candidate performance on traditional assessments of content knowledge place emphasis on just one of many skills needed to be an effective foreign language teacher; they also fail to explain why many teacher candidates with advanced oral proficiency struggle in the classroom and why some with less advanced language…

For initial certification in French, German, and Spanish, teacher candidates in most states are required to pass one of the Praxis II subject matter tests. As of October 2010, a new test was added to the "Praxis Series." This Praxis II: World Language Test represents a significant change from previous versions and relies heavily upon the…

This paper presents a review of language teacher selection examination and recruitment in Turkey and Poland, together with the national assessments conducted to assess candidates entering the teaching profession such as Praxis I and II and the Teaching Knowledge Test. It further discusses KPSS (Selection Examination for Professional Posts in…