000			01954nam a22002057a 4500
005			20240508064750.0
008			240508b |||||||| |||| 00| 0 eng d
022			_a0022-0973
100			_aValdivia, Dubravka Svetina
245			_aNumber of Response Categories and Sample Size Requirements in Polytomous IRT Models _b(Journal Article)
260			_aPhiladelphia, USA _b: Taylor and Francis Group and Routledge _c,March 2024
300			_a154-185p.
440			_aThe Journal of Experimental Education _vVolume 92: Number 1, 2024
500			_a***______{For Hard Copy, Please visit Library.}________***
520			_aAbstract: Applications of polytomous IRT models in applied fields (e.g., health, education, psychology) are abound. However, little is known about the impact of the number of categories and sample size requirements for precise parameter recovery. In a simulation study, we investigated the impact of the number of response categories and required sample size for successful parameter recovery and also examined model fit. Our results suggested that sample size requirements of approximately 250 or larger are typically sufficient for reasonable recovery of either person or item parameters (in particular discrimination). Further, we found that in many cases, the conditions of 10 items yielded more favorable results than those conditions when only 5 items were considered. With respect to the number of response categories, results were inconsistent, suggesting more complex recommendations in selecting the number of categories when developing scales. We discuss limitations of the current study, identify future directions, and provide recommendations for applied researchers who engage in scale development.
650			_aNumber of response options| parameter fit| polytomous item response theory| sample size
700			_aDai, Shenghai
856			_uhttps://doi.org/10.1080/00220973.2022.2153783
942			_cPER
999			_c45747 _d45746