Validation of Yonsei-Bilateral Activity Test (Y-BAT)-Bilateral Upper Extremity Inventory Using Rasch Analysis

Abstract

There is little assessment to provide specific information about quality of bilateral upper extremity movement specifically. This study examined the psychometric properties of the Yonsei-Bilateral Activity Test (Y-BAT). An observational cross-sectional design was used with 100 stroke survivors. Unidimensionality was examined using factor analyses, and Rasch analysis was used to test rating scale structure, fit statistics, and precision of the Y-BAT. The Y-BAT demonstrated a unidimensional measurement construct, and 19 of the 27 items fit the Rasch model. The instrument demonstrated good precision, including person reliability and person strata. The Y-BAT estimated person measures within a wide range of theta values with a reliability of .9 with good precision. Our results indicate that a revised, 19-item version of the Y-BAT demonstrates sound internal validity and may be a useful instrument for clinicians to measure upper extremity function with good precision following stroke.

Assessment of Validity of Children’s Movement Skill Quotient (CMSQ) Based on the Physical Education Classroom Environment

“…Furthermore, we found that there were two groups of items with a similar difficulty level, namely, Item CS09 (overhand throwing; 1.97 logits) and Item CS14 (kicking; 1.95 logits), as well as Item CS13 (longitudinal roll; 0.18 logits) and Item CS05 (crawling; 0.15 logits). Other research proposes that similar difficulty levels of test items may not provide more calibration information for evaluating movement skills [ 44 ]. The best solution was to delete some of the items of the same difficulty levels.…”

“…The best solution was to delete some of the items of the same difficulty levels. Determining whether to delete items has often been used as the internal consistency coefficient: If the internal consistency coefficient is too high (i.e., Cronbach's alpha was greater than 0.98), item redundancies are suggested [ 44 ] and it is considered necessary to delete some items. In this study, the internal consistency coefficient of the CMSQ was only 0.80; thus, we did not delete any items.…”

“…In other words, in the product-based, process-based, and self-reported measures, the product-based measures had the highest precision, while the self-reported measures had the lowest. Furthermore, a good match between item difficulty and personal ability might reduce measurement errors in the process of person measures [ 44 , 54 ]. When the distance between the mean of person measures and the mean of item difficulty is less than 0.5 logits, it is considered a good measurement.…”

“…The unidimensionality was examined using principal component analysis (PCA) of the Rasch residuals. Once the product-based measures of the CMSQ showed a unidimensionality measurement structure, an item-level analysis was used to perform the Rasch analysis, including rating scale analysis, item fit statistics, person response validity, item difficulty, and differential item functioning (DIF) [ 44 ].…”

Measurement Properties of Canadian Agility and Movement Skill Assessment for Children Aged 9–12 Years Using Rasch Analysis

“…We referred to Facets guidelines and adopted MnSq values between 0.7 and 1.3 for acceptable criteria in this study ( 35 , 36 ). The intraclass correlation coefficient (ICC) was used to examine the rater's retest reliability ( 37 ). Wikstrom recommends the following criteria for ICC: scores of 0.9–1.0 for excellent; 0.80–0.89 for good; 0.7–0.79 for fair; and below 0.69 for poor ( 38 ).…”