Journals / International Journal of Assessment Tools in Education / 2021 / Cilt: 8 - Sayı: 2

An Investigation of Item Position Effects by Means of IRT-Based Differential Item Functioning Methods

Pages
239–256
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Based on the findings of the present study, to avoid the occurrence of DIF due to item position effects, it is recommended to position the same items across different booklets in similar locations when forming different booklets.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, whether item position effects lead to DIF in the condition where different test booklets are used was investigated.
📊
Key Findings & Data:To do this the methods of Lord’s chi-square and Raju’s unsigned area with the 3PL model under with and without item purification were used.
💡
Conclusion & Impact:Based on the findings of the present study, to avoid the occurrence of DIF due to item position effects, it is recommended to position the same items across different booklets in similar locations when forming different booklets.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Item position effects · Item Response Theory · Differential item functio

Abstract

In this study, whether item position effects lead to DIF in the condition where different test booklets are used was investigated. To do this the methods of Lord’s chi-square and Raju’s unsigned area with the 3PL model under with and without item purification were used. When the performance of the methods was compared, it was revealed that generally, the method of Lord’s chi-square identified more items with DIF than did the method of Raju’s unsigned area. The differentiation of the booklets with respect to item position resulted in a higher number of items displaying DIF with item purification conditions. Based on the findings of the present study, to avoid the occurrence of DIF due to item position effects, it is recommended to position the same items across different booklets in similar locations when forming different booklets.

Özet

In this study, whether item position effects lead to DIF in the condition where different test booklets are used was investigated. To do this the methods of Lord’s chi-square and Raju’s unsigned area with the 3PL model under with and without item purification were used. When the performance of the methods was compared, it was revealed that generally, the method of Lord’s chi-square identified more items with DIF than did the method of Raju’s unsigned area. The differentiation of the booklets with respect to item position resulted in a higher number of items displaying DIF with item purification conditions. Based on the findings of the present study, to avoid the occurrence of DIF due to item position effects, it is recommended to position the same items across different booklets in similar locations when forming different booklets.

🔖

Cite This Article

SOYSAL, S., KOĞAR, E. Y. (2022). An Investigation of Item Position Effects by Means of IRT-Based Differential Item Functioning Methods. International Journal of Assessment Tools in Education, Cilt: 8 - Sayı: 2, 239–256. https://ajindex.com/articles/540095

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Akayleh, A. S. A. (2018). Precision of the estimations for some methods of the CTT and IRT as a base to display the differential item functions on the different item ordered test formats. https://bit.ly/3aJeFKx
  2. Avcu, A., Tunç, E. B., & Uluman, M. (2018). How the order of the items in a booklet affects item functioning: Empirical findings from course level data?. European Journal of Education Studies, 4(3), 227-239. http://doi.org/10.5281/zenodo.1199695
  3. Balta, E., & Omur Sunbul, S. (2017). An investigation of ordering test items differently depending on their difficulty level by differential item functioning. Eurasian Journal of Educational Research, 72, 23-42. https://doi.org/doi:10.14689/ejer.2017.72.2
  4. Brown, T. A. (2006). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
  5. Bulut, O. (2015). An empirical analysis of gender-based DIF due to test booklet effect. European Journal of Research on Education, 3(1), 7-16. https://bit.ly/3cKkhqf
  6. Bulut, O., Quo, Q., & Gierl, M. J. (2017). A structural equation modeling approach for examining position effects in large-scale assessments. Large-scale Assessments in Education, 5(1), 8. http://doi.org/10.1186/s40536-017-0042-x
  7. Camilli, G., & Shepard, L. A. (1994). Methods for identifying biased test items. Sage Publications. Candell, G. L., & Drasgow, F. (1988). An iterative procedure for linking metrics and assessing item bias in item response theory. Applied Psychological Measurement, 12(3), 253-260. https://conservancy.umn.edu/bitstream/handle/11299/107645/v12n3p253.pdf?sequence=1
  8. Clauser, B., Mazor, K., & Hambleton, R. K. (1993). The effects of purification of the matching criterion on the identification of DIF using the Mantel-Haenszel procedure. Applied Measurement in Education, 6(4), 269 279. https://doi.org/10.1207/s15324818ame0604_2
  9. Choi, Y., Alexeev, N., & Cohen, A. (2014). DIF analysis using a mixture 3PL model with a covariate on the TIMSS 2007 mathematics test. In KAERA Research Forum, 1(1), 4-14. http://www.columbia.edu/~ld208/KAERA_2014.pdf#page=5
  10. Çokluk, Ö., Gül, E., & Dogan-Gül, Ç. (2016). Examining differential item functions of different item ordered test forms according to item difficulty levels. Educational Sciences: Theory and Practice, 16(1), 319-330. http://dx.doi.org/10.12738/estp.2016.1.0329
  11. Davis, J., & Ferdous, A. (2005). Using item difficulty and item position to measure test fatigue. American Institutes for Research. http://citeseerx.ist.psu.edu/viewdoc/download