Despite the increasing demand for diagnostic information, observed subscores have been often reported to lack adequate psychometric qualities such as reliability, distinctiveness, and validity. Therefore, several statistical techniques based on CTT and IRT frameworks have been proposed to improve the quality of subscores. More recently, DCM has…

Maintaining equivalent performance standards across forms is a psychometric challenge exacerbated by small samples. In this study, the accuracy of two equating methods (Rasch anchored calibration and nominal weights mean) and four anchor item selection methods were investigated in the context of very small samples (N = 10). Overall, nominal…

Purpose: This study aimed to compare the cut scores obtained by the Extended Angoff and Contrasting Groups methods for an achievement test consisting of constructed-response items. Research Methods: This study was based on survey research design. In the collection of data, the study group of the research consisted of eight mathematics teachers for…

Language proficiency testing serves an important function of classifying examinees into different categories of ability. However, misclassification is to some extent inevitable and may have important consequences for stakeholders. Recent research suggests that classification efficacy may be enhanced substantially using computerized adaptive…

This study examined the relationship between high school exit exams and mathematical proficiency. With the No Child Left Behind (NCLB) Act requiring all students to be proficient in mathematics by 2014, it is imperative that high-stakes assessments accurately evaluate all aspects of student achievement, appropriately set the yardstick by which…

Computer-adaptive classification tests focus on classifying respondents in different proficiency groups (e.g., for pass/fail decisions). To date, adaptive classification testing has been dominated by research on dichotomous response formats and classifications in two groups. This article extends this line of research to polytomous classification…

The generalized graded unfolding model (GGUM) has been recently developed to describe item responses to Likert items (agree-disagree) in attitude measurement. In this study, the authors (a) developed two item selection methods in computerized classification testing under the GGUM, the current estimate/ability confidence interval method and the cut…

The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their…

The No Child Left Behind Act and the accountability movement in public education caused many states to develop criterion-referenced academic achievement tests. Scores from these tests are often used to make high stakes decisions. Even so, these tests typically do not receive independent psychometric scrutiny. We evaluated the 2005 Arkansas…

This paper presents comparisons among three item-selection criteria for the sequential probability ratio test. The criteria were compared in terms of their efficiency in selecting items, as indicated by average test length and the percentage of correct decisions. The item-selection criteria applied in this study were the Fisher information…

A procedure to detect differential item functioning (DIF) is introduced that is suitable for tests with a cutoff score. DIF is assessed on a limited closed interval of thetas in which a cutoff score falls. How this approach affects the identification of DIF items is demonstrated with real data sets. (SLD)

Several existing group-based statistics to detect improbable item score patterns are discussed, along with the cut scores proposed in the literature to classify an item score pattern as aberrant. A simulation study and an empirical study are used to compare the statistics and their use and to investigate the practical use of cut scores. (SLD)

Different item response theory (IRT) models may be employed for item calibration. Change of testing vendors, for example, may result in the adoption of a different model than that previously used with a testing program. To provide scale continuity and preserve cut score integrity, item parameter estimates from the new model must be linked to the…

The results of classifying test items on the basis of their Mantel-Haenszel (MH) alpha estimates were compared to the results of classifying these items using an item response theory (IRT) based procedure involving the comparison of item difficulties in the interest of identifying the alpha value that maximized the decision concordance between the…

In person-fit analysis, the object is to investigate whether an item score pattern is improbable given the item score patterns of the other persons in the group or given what is expected on the basis of a test model. In this study, several existing group-based statistics to detect such improbable score patterns were investigated, along with the…