Tugay Kaçak- Research Assistant at Trakya University
Tugay Kaçak
- Research Assistant at Trakya University
About
10
Publications
354
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Introduction
I'm studying for my PhD on Educational Measurement and Evaluation in Hacettepe University. MA's was on factor retention methods performances in ordinal datasets. My research mainly focuses on dimensionality, network psychometrics, and reliability coefficients.
Current institution
Education
August 2022 - July 2024
September 2019 - June 2023
August 2017 - June 2021
Publications
Publications (10)
Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in categorical/o...
In this study, the suggestion by Zwick & Velicer (1986) that there should be at least
2 dominant items per factor, i.e., items with high loadings, was analyzed and simulated.
In many Monte Carlo simulation studies, factor loadings are determined within a narrow
range. For instance, under conditions where the average factor loading is 0.40, the fact...
This study holds significant implications as it examines the impact of different missing data handling methods on the internal consistency coefficients. With Monte Carlo simulations, we manipulated number of items, true reliability, sample size, missing data ratio and mechanisms, to compare relative bias of reliability coefficients. The reliability...
In this study, the extent to wording effects impact structure and factor loadings, internal consistency and measurement invariance was outlined. The modified form, which includes items that semantically reversed, explains %21.5 more variance than the original form. Also, reversed items’ factor loadings are higher. As a result of CFA, indexes obtain...
One of the most common problems that can be encountered in the data collection process in scientific research is missing data. It is predicted that data may be lost due to many reasons such as participant, observer or technological reasons. Experts have developed methods to deal with missing data and research on the performance of these methods con...
