Rasch Calibration and Differential Item Functioning (DIF) Analysis of the Indonesian National Assessment Program-Language (INAP-L)

Bahrul Hayat, Muhammad Dwirifqi Kharisma Putra, Rahmawati Rahmawati and Khairunesa Isa

World Journal of English Language, 2023, vol. 13, issue 6, 402

Abstract: This study aimed to evaluate the psychometric properties of the INAP-L instrument by applying the Rasch model. The psychometric evaluation includes item calibration and differential item functioning (DIF) assessment. Participants in this study were 6153 high school students (2326 boys and 3827 girls) aged 14-19 years (mean age = 15.76, SD = 0.78) from 280 schools spread across 34 provinces in Indonesia. The results of the Rasch model analysis show that the assumptions of unidimensionality and local independence are met. The internal consistency analysis of the INAP-L instrument (PSR = 0.80; Ordinal α = 0.81) and item-person targeting showed quite good results. At the item level, it was discovered that four of the forty items did not fit the Rasch model. Meanwhile, the gender-based DIF analysis revealed that all items were free from gender DIF and that two out of forty items showed DIF based on school type. It can be concluded that the INAP-L instrument has good psychometric properties. Furthermore, multilevel analysis was performed to determine the effect of clustering in the data, and it was discovered that INAP-L has a multilevel data structure with ICC = 0.185 and a design effect > 2.00. This means that future research on the relationship among variables on the INAP-L score must consider a multilevel approach. Even though the developer has already published an interim report on INAP-L, the findings of this study can be used as a reference in improving the instrument before conducting INAP-L in the future.

Date: 2023
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