Research lines

1. Factor retention in exploratory factor analysis

Deciding how many factors to retain is still the weakest link in most scale development studies. I run large Monte Carlo simulations to see how classical and modern methods (parallel analysis, exploratory graph analysis, Hull, comparison data, empirical Kaiser) behave under conditions researchers actually face:

  • ordinal and mixed-format indicators,
  • cross-loadings and dominant items,
  • hierarchical and bifactor structures,
  • varying interfactor correlations.

Related work: Kaçak & Kılıç (2025, IJATE); Kaçak, Temurtaş & Kılıç (2025, Psihologija); MSc thesis (2024).


2. Reliability under assumption violations

Coefficient alpha and omega are reported almost automatically. I look at what happens to them when the assumptions behind them fail — missing data and the way it is handled, correlated errors, and item wording effects.

Related work: Kaçak & Kılıç (2024, JMEEP); Kılıç, Acar Güvendir, Güler & Kaçak (2025, Measurement: IRP).


3. Large-scale assessment

Cross-country comparisons only mean something if the instrument measures the same thing everywhere. I work on measurement invariance (MGCFA, alignment optimization, psychometric networks) and on item-format effects, using PISA, PIRLS, TIMSS and ICILS data.

Related work: Ekici & Kaçak (2026, JTELL); ICILS 2023 invariance study (under review); TIMSS 2023 item-format study (Balkan Congress, 2025).


Ongoing research

Kaçak, T. Factor retention under careless responding: A Monte Carlo comparison of traditional and random-intercept adjusted dimensionality assessment methods. Multivariate Behavioral Research With editor

Güler, G., & Kaçak, T. Does item wording effect change the psychometric properties of a scale? An investigation with the Warwick–Edinburgh Mental Well-Being Scale. Journal of Survey Statistics and Methodology Under review

Kaçak, T. The effects of item format and cognitive domain interaction on students’ mathematics performance in TIMSS 2023: A cross-country study. Studies in Educational Evaluation Under review

Kaçak, T. Do test-taking engagement and test delivery mode matter? Modeling the interaction effects on DASS-42 with polytomous explanatory IRT. Journal of Social Research Methodology Under review

Kaçak, T., & Kılıç, A. F. Structuring psychopathology: A stress-test of factor retention methods in complex hierarchical models. Journal of Assessment Under review

Güler, G., Acar Güvendir, M., Kılıç, A. F., Aktaş, M., & Kaçak, T. Within-subjects measurement invariance testing across survey mode and incentive conditions: A longitudinal CFA approach. European Journal of Psychological Assessment Under review


Education

Year Degree Institution
2025 – present PhD, Educational Measurement and Evaluation Hacettepe University
2024 MSc, Educational Measurement and Evaluation Hacettepe University
2021 BSc, Primary School Education (GPA 3.51) Anadolu University

MSc thesis. Comparison of factor retention methods in exploratory factor analysis under various conditions. Read it at the Turkish Council of Higher Education thesis center.