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Number of Response Categories and Sample Size Requirements in Polytomous IRT Models (Record no. 45747)

MARC details
000 -LEADER
fixed length control field 01954nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240508064750.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240508b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN 0022-0973
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Valdivia, Dubravka Svetina
245 ## - TITLE STATEMENT
Title Number of Response Categories and Sample Size Requirements in Polytomous IRT Models
Remainder of title (Journal Article)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Philadelphia, USA
Name of publisher : Taylor and Francis Group and Routledge
Year of publication ,March 2024
300 ## - PHYSICAL DESCRIPTION
Number of Pages 154-185p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title The Journal of Experimental Education
Volume number/sequential designation Volume 92: Number 1, 2024
500 ## - GENERAL NOTE
General note ***______{For Hard Copy, Please visit Library.}________***<br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc Abstract: 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Number of response options| parameter fit| polytomous item response theory| sample size
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dai, Shenghai
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1080/00220973.2022.2153783
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periodicals
Holdings
Lost status Damaged status Home library Current library Date acquired Koha item type
    RIE BPL Library RIE BPL Library 08.05.2024 Periodicals

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