摘要：Although a large body of research has been published with respect to arithmetic
word problems, few studies have investigated statistical word problems in
detail. This article therefore pursues two goals: Firstly, a review of current
design and analysis of statistical word problems is provided. Secondly, results
from a pilot study with systematically-designed statistical word problems are
reported. Using the linear-logistic test model (LLTM) as well as the latent
regression LLTM, we have found that the postulated cognitive model fits the data
well overall. The study provides evidence that statistical word problems can be
designed and analysed in a systematic way, and that the proposed cognitive model
of solving statistical word problems can be successfully used in future
assessments.
关键词：Statistical word problems, rule-based item design, Rasch model, linear-logistic
test model, latent regression LLTM
