Open Conference Systems, MISEIC 2019

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Validating Technology Attitude Scale for Pre-Service Mathematics Teachers: Rasch Person & Item Fit Analysis
Yulia Linguistika

Last modified: 2020-02-02


The purpose of the study was to evaluate the person and item fit of Technology Attitude Scale for pre-service mathematics teachers (n = 106) using Rasch measurement. This study was conducted using Winsteps, and the fit analysis was employed several times. The analysis was begun with the examination of the items and persons fit to check the existence of extreme responses and to remove them. Later, the underfitting persons were deleted. Lastly, the misfitting items were eliminated. The person and item fit evaluation were based on three criteria; (1) Outfit mean square (MNSQ) value, (2) Outfit Z-standard (ZSTD) value, and (3) Point Measure Correlation value. The result revealed that there were five outliers in term of person. Consequently, they should be eliminated. The item fit test indicated that two items (item19 & item20) had the extreme value of outfit indices, then it could not be retained. The further analysis continues with 101 persons and 18 items that are good and indicate the sufficient fit to Rasch model for practical measurement purposes.



item fit; person fit; pre-service mathematics teachers; Rasch model; technology attitude scale

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