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Ayse Bilicioglu Gunes; Bayram Bicak – International Journal of Assessment Tools in Education, 2023
The main purpose of this study is to examine the Type I error and statistical power ratios of Differential Item Functioning (DIF) techniques based on different theories under different conditions. For this purpose, a simulation study was conducted by using Mantel-Haenszel (MH), Logistic Regression (LR), Lord's [chi-squared], and Raju's Areas…
Descriptors: Test Items, Item Response Theory, Error of Measurement, Test Bias
Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
An Analysis of Differential Bundle Functioning in Multidimensional Tests Using the SIBTEST Procedure
Özdogan, Didem; Kelecioglu, Hülya – International Journal of Assessment Tools in Education, 2022
This study aims to analyze the differential bundle functioning in multidimensional tests with a specific purpose to detect this effect through differentiating the location of the item with DIF in the test, the correlation between the dimensions, the sample size, and the ratio of reference to focal group size. The first 10 items of the test that is…
Descriptors: Correlation, Sample Size, Test Items, Item Analysis
Uysal, Ibrahim; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Scoring constructed-response items can be highly difficult, time-consuming, and costly in practice. Improvements in computer technology have enabled automated scoring of constructed-response items. However, the application of automated scoring without an investigation of test equating can lead to serious problems. The goal of this study was to…
Descriptors: Computer Assisted Testing, Scoring, Item Response Theory, Test Format
Lee, Hyung Rock; Lee, Sunbok; Sung, Jaeyun – International Journal of Assessment Tools in Education, 2019
Applying single-level statistical models to multilevel data typically produces underestimated standard errors, which may result in misleading conclusions. This study examined the impact of ignoring multilevel data structure on the estimation of item parameters and their standard errors of the Rasch, two-, and three-parameter logistic models in…
Descriptors: Item Response Theory, Computation, Error of Measurement, Test Bias
Sahin, Melek Gulsah – International Journal of Assessment Tools in Education, 2020
Computer Adaptive Multistage Testing (ca-MST), which take the advantage of computer technology and adaptive test form, are widely used, and are now a popular issue of assessment and evaluation. This study aims at analyzing the effect of different panel designs, module lengths, and different sequence of a parameter value across stages and change in…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Response Theory
Cikrikci, Nukhet; Yalcin, Seher; Kalender, Ilker; Gul, Emrah; Ayan, Cansu; Uyumaz, Gizem; Sahin-Kursad, Merve; Kamis, Omer – International Journal of Assessment Tools in Education, 2020
This study tested the applicability of the theoretical Examination for Candidates of Driving License (ECODL) in Turkey as a computerized adaptive test (CAT). Firstly, various simulation conditions were tested for the live CAT through an item response theory-based calibrated item bank. The application of the simulated CAT was based on data from…
Descriptors: Motor Vehicles, Traffic Safety, Computer Assisted Testing, Item Response Theory