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Conducting participatory action research (PAR) with people with and without intellectual disabilities presents challenges, primarily due to participants' varying verbal expression and reflective thinking abilities, leading to potential power imbalances and unfair outcomes. This study investigates using the arts to address these issues in a residential care setting. We specifically chose to collaborate with an artist who maintained an autonomous artistic practice on the research site. This collaboration, occurring at the intersection of the arts, academia, and the residential care context, presented new opportunities and challenges, and thus demanding extensive 'boundary work.' In this article we address the fieldwork challenges we encountered to deepen the understanding of two interrelated questions: how can the arts stimulate equitable, collaborative moral learning processes between individuals with and without intellectual disabilities? And what kind of boundary work is required to facilitate these processes within the context of residential care for people with intellectual disabilities? This study confirms that the use of the arts can have an emancipatory effect on knowledge production by making abstract questions tangible and offering embodied ways to engage in meaning-making processes. We underscore the moral dimensions of these endeavours. Noticing that embodied reactions depend on others to move beyond the here-and-now, boundary work and a shared problem definition are indispensable. This study stresses that within the context of a residential care setting, boundaries exist not only between the fields of arts and the care organization but also within the care organization itself. [ABSTRACT FROM AUTHOR]

A theoretical and conceptual framework for true-score equating using a simple-structure multidimensional item response theory (SS-MIRT) model is developed. A true-score equating method, referred to as the SS-MIRT true-score equating (SMT) procedure, also is developed. SS-MIRT has several advantages over other complex multidimensional item response theory models including improved efficiency in estimation and straightforward interpretability. The performance of the SMT procedure was examined and evaluated through four studies using different data types. In these studies, results from the SMT procedure were compared with results from four other equating methods to assess the relative benefits of SMT compared with the other procedures. In general, SMT showed more accurate equating results compared with the traditional unidimensional IRT (UIRT) equating when the data were multidimensional. More accurate performance of SMT over UIRT true-score equating was consistently observed across the studies, which supports the benefits of a multidimensional approach in equating for multidimensional data. Also, SMT performed similarly to a SS-MIRT observed score method across all studies.

Smoothing is designed to yield smoother equating results that can reduce random equating error without introducing very much systematic error. The main objective of this study is to propose a new statistic and to compare its performance to the performance of the Akaike information criterion and likelihood ratio chi-square difference statistics in selecting the smoothing parameter for polynomial loglinear equating under the random groups design. These model selection statistics were compared for four sample sizes (500, 1,000, 2,000, and 3,000) and eight simulated equating conditions, including both conditions where equating is not needed and conditions where equating is needed. The results suggest that all model selection statistics tend to improve the equating accuracy by reducing the total equating error. The new statistic tended to have less overall error than the other two methods.

In applications of item response theory (IRT), fixed parameter calibration (FPC) has been used to estimate the item parameters of a new test form on the existing ability scale of an item pool. The present paper presents an application of FPC to multiple examinee groups test data that are linked to the item pool via anchor items, and investigates the performance of FPC relative to an alternative approach, namely independent 0-1 calibration and scale linking. Two designs for linking to the pool are proposed that involve multiple groups and test forms, for which multiple-group FPC can be effectively used. A real-data study shows that the multiple-group FPC method performs similarly to the alternative method in estimating ability distributions and new item parameters on the scale of the item pool. In addition, a simulation study shows that the multiple-group FPC method performs nearly equally to or better than the alternative method in recovering the underlying ability distributions and the new item parameters.

Accurate equating results are essential when comparing examinee scores across exam forms. Previous research indicates that equating results may not be accurate when group differences are large. This study compared the equating results of frequency estimation, chained equipercentile, item response theory (IRT) true-score, and IRT observed-score equating methods. Using mixed-format test data, equating results were evaluated for group differences ranging from 0 to 0.75 standard deviations. As group differences increased, equating results became increasingly biased and dissimilar across equating methods. Results suggest that the size of group differences, the likelihood that equating assumptions are violated, and the equating error associated with an equating method should be taken into consideration when choosing an equating method.

Composite scores are often formed from test scores on educational achievement test batteries to provide a single index of achievement over two or more content areas or two or more item types on that test. Composite scores are subject to measurement error, and as with scores on individual tests, the amount of error variability typically depends on the individual's score level. A procedure is presented for estimating conditional standard errors of measurement and reliability for composite scores. Item response theory (IRT) models are used as the psychometric foundation for developing the procedure. First, a general procedure is described, followed by specific applications for estimating conditional standard errors of measurement of the ACT Assessment composite and a weighted summed score on a mathematics test. General issues in estimating conditional standard errors of measurement for composite scores are discussed. (Contains 4 figures and 2 tables.)