Hello! I am a Research Assistant in Educational Measurement and Evaluation at Trakya University, Faculty of Education, and a PhD candidate in the same field at Hacettepe University.

My work mostly includes Monte Carlo simulations to examine factor retention methods' performance with ordinal datasets in psychoeducational contexts (i.e., cross-loadings, hierarchical structures, and missing data) and what these findings imply for researchers and practitioners who need to determine the appropriate number of factors. I also work with large-scale assessment data (PISA, PIRLS, TIMSS, ICILS) on measurement invariance and item-format effects.

This site collects my publications, talks, and the software and teaching materials I share.

Tugay Kaçak


Research at a glance

Factor analytic framework

How many factors are there, really? Parallel analysis, EGA, Hull, CD and friends — stress-tested with ordinal, mixed-format and hierarchical data — plus what that structure does to alpha, omega and their relatives.

Mixture modeling

Finite mixture, latent class and factor mixture models to uncover unobserved respondent subgroups and test whether measurement properties hold across them.

Network psychometrics

Psychometric network models as a complementary lens on construct structure, alongside the factor-analytic tradition.

Large-scale assessment

Measurement invariance and item-format effects across countries in PISA, PIRLS, TIMSS and ICILS.


News


Thanks for stopping by. Corrections and collaboration ideas are always welcome.