Does this test measure everyone the same way?

Comparison of GPCMlasso and alignment methods in detecting differential item functioning

Sirganci, G. · International Journal of Eurasian Education and Culture, 8(23), 2270–2299

Compares a lasso-penalized generalized partial credit model with alignment optimization for flagging DIF in polytomous items.

A machine learning approach to assess differential item functioning of the PISA 2018 ICT Engagement Questionnaire

Sirganci, G. · International Journal of Curriculum and Instruction, 15(3), 2079–2093

Uses machine learning to examine DIF in a PISA 2018 student questionnaire on engagement with information and communication technology.

Measurement invariance testing with alignment method: Many groups comparison

Sırgancı, G., Uyumaz, G., & Yandı, A. · International Journal of Assessment Tools in Education, 7(4), 657–673

Applies the alignment method to test measurement invariance when many groups are compared at the same time.

Detecting differential item functioning by using sequential logistic regression and Poly-SIBTEST methods

Sırgancı, G., & Çakan, M. · Journal of the Faculty of Education, Bolu Abant İzzet Baysal University, 20(1), 705–717 · in Turkish

Compares two DIF detection methods for polytomously scored items using a PISA student questionnaire.

Utility of off-the-shelf generative AIs for DIF detection

Patarapichayatham, C., Sirganci, G., & Kamata, A. · Under review, Educational Assessment · presented at NCME 2026, Los Angeles

Tests whether widely available generative AI tools can identify items that function differently across groups.

Is creativity measured fairly? Ability-dependent differential item functioning by gender in the PISA 2022 Creative Thinking Assessment

Sirganci, G., & Meşe, C. · Under review, The Journal of Creative Behavior

Modeling variational DIF for different ability levels with a moderated mediation approach

Sirganci, G., Kara, Y., Fong, M., & Kamata, A. · NCME Annual Meeting, Denver

Model-based detection of passage bias in oral reading fluency assessments

Sirganci, G., Kara, Y., Nese, J. F. T., & Kamata, A. · NCME Annual Meeting, Denver

Exploring fairness of next-generation items: Differential item action analysis on process data

Kara, Y., Sirganci, G., Qiao, X., Kamata, A., Sumsong, S., & Fong, M. · NCME Annual Meeting, Denver

Measurement invariance testing with many groups: A comparison of Bayesian structural equation modeling and alignment optimization

Sirganci, G., Uyumaz, G., & Kamata, A. · 7th International Congress on Measurement and Evaluation in Education and Psychology, Ankara

The effect of covariate variables on the determination of differential item functioning using the mixture Rasch model

Sirganci, G., & Çokluk Bökeoğlu, Ö. · AERA Annual Meeting, San Francisco (accepted; meeting canceled) · based on my doctoral dissertation, Ankara University, 2019

Measurement invariance in the scale development process

In M. Acar Güvendir & Y. Özer Özkan (Eds.), Tüm yönleriyle ölçek geliştirme süreci (pp. 155–182). Pegem Akademi

New approaches to the validity of multiple-group comparisons in large-scale assessments

In S. Karabatak (Ed.), Eğitim & Bilim 2022-IV (pp. 95–116). Efe Akademik Yayıncılık

Detecting differential item functioning for groups and latent classes simultaneously based on mixture IRT and IRT-MIMIC models

TÜBİTAK International Doctoral Research Fellowship · Southern Methodist University, 2017–2018

Determination of approximate measurement invariance with Bayesian alignment optimization

Yozgat Bozok University Scientific Research Projects Program, 2020–2022