Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…

MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…

An information-correction method for testlet-based tests is introduced. This method takes advantage of both generalizability theory (GT) and item response theory (IRT). The measurement error for the examinee proficiency parameter is often underestimated when a unidimensional conditional-independence IRT model is specified for a testlet dataset. By…

This study examines the effects of text length and question type on Korean EFL readers' reading comprehension of the fill-in-the-blank items in Korean CSAT. A total of 100 Korean EFL college students participated in the study. After divided into three different proficiency groups, the participants took a reading comprehension test which consisted…

Existing reading comprehension assessments have been criticized by researchers, educators, and policy makers, especially regarding their coverage, utility, and authenticity. The purpose of the current study was to evaluate a new assessment of reading comprehension that was designed to broaden the construct of reading. In light of these issues, we…

Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…

Computer administered tests are becoming increasingly prevalent as computer technology becomes more readily available on a large scale. For testing programs that utilize both computer and paper administrations, mode effects are problematic in that they can result in examinee scores that are artificially inflated or deflated. As such, researchers…

A sampling methodology is proposed for determining lengths of tests designed to assess the comprehension of written discourse. It is based on Bormuth's transformational analysis, within a domain-referenced framework. Guidelines are provided for computing sample size and selecting sentences to which the transformational rules can be applied.…

The Test of English as a Foreign Language (TOEFL) program is exploring a change in Section 3 of the TOEFL test that would replace the vocabulary subpart with additional reading comprehension questions. This study investigated the proposed revision in terms of the length and timing that would be necessary to address concerns of test speededness of…

The optimal test length, using predictive validity as a criterion, depends on two major conditions: the appropriate item-difficulty rather than the total number of items, and the method used in scoring the test. These conclusions were reached when responses to a 100-item multi-level test of reading comprehension from 136 non-native speakers of…

The relationship between item omission and item position on criterion-referenced tests in the Texas state assessment program is examined. Item statistics from the Texas Educational Assessment of Minimum Skills (TEAMS) and Texas Assessment of Basic Skills (TABS) mathematics and reading tests from 1983 through 1985 are examined for three ethnic…