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Guler, Gul; Cikrikci, Rahime Nukhet – International Journal of Assessment Tools in Education, 2022
The purpose of this study was to investigate the Type I Error findings and power rates of the methods used to determine dimensionality in unidimensional and bidimensional psychological constructs for various conditions (characteristic of the distribution, sample size, length of the test, and interdimensional correlation) and to examine the joint…
Descriptors: Comparative Analysis, Error of Measurement, Decision Making, Factor Analysis
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Celen, Umit; Aybek, Eren Can – International Journal of Assessment Tools in Education, 2022
Item analysis is performed by developers as an integral part of the scale development process. Thus, items are excluded from the scale depending on the item analysis prior to the factor analysis. Existing item discrimination indices are calculated based on correlation, yet items with different response patterns are likely to have a similar item…
Descriptors: Likert Scales, Factor Analysis, Item Analysis, Correlation
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Arslan Mancar, Sinem; Gulleroglu, H. Deniz – International Journal of Assessment Tools in Education, 2022
The aim of this study is to analyse the importance of the number of raters and compare the results obtained by techniques based on Classical Test Theory (CTT) and Generalizability (G) Theory. The Kappa and Krippendorff alpha techniques based on CTT were used to determine the inter-rater reliability. In this descriptive research data consists of…
Descriptors: Comparative Analysis, Interrater Reliability, Advanced Placement, Scoring Rubrics
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Demir, Suleyman – International Journal of Assessment Tools in Education, 2022
This study aims to compare normality tests in different sample sizes in data with normal distribution under different kurtosis and skewness coefficients obtained simulatively. To this end, firstly, simulative data were produced using the MATLAB program for different skewness/kurtosis coefficients and different sample sizes. The normality analysis…
Descriptors: Sample Size, Comparative Analysis, Computer Software, Evaluation Methods
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Ozdemir, Hasan Fehmi; Kutlu, Omer; Huang, Shaofu; Crick, Ruth – International Journal of Assessment Tools in Education, 2022
The aim of this study is to adapt the Crick Learning for Resilient Agency (CLARA) to Turkish culture, and to examine the psychometric features of the Inventory according to both Classical Test Theory (CTT) and Item Response Theory (IRT). In this respect, it is a descriptive level survey design research. Two different study groups were formed in…
Descriptors: Item Response Theory, Psychometrics, English (Second Language), English Literature
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Sata, Mehmet; Karakaya, Ismail – International Journal of Assessment Tools in Education, 2022
In the process of measuring and assessing high-level cognitive skills, interference of rater errors in measurements brings about a constant concern and low objectivity. The main purpose of this study was to investigate the impact of rater training on rater errors in the process of assessing individual performance. The study was conducted with a…
Descriptors: Evaluators, Training, Comparative Analysis, Academic Language
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Alav, Orhan – International Journal of Assessment Tools in Education, 2022
In this study, the phonographic view of the acceleration of scientific publishing in Türkiye has been revealed with TÜBITAK/DergiPark data and the values of the measurements of the impact factors of scientific journals have been sampled with the SOBIAD Index data. SOBIAD Index dataset was used in the study. Using the "full count"…
Descriptors: Periodicals, Open Source Technology, Indexes, Standards
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Erdem-Kara, Basak; Dogan, Nuri – International Journal of Assessment Tools in Education, 2022
Recently, adaptive test approaches have become a viable alternative to traditional fixed-item tests. The main advantage of adaptive tests is that they reach desired measurement precision with fewer items. However, fewer items mean that each item has a more significant effect on ability estimation and therefore those tests are open to more…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Test Construction
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Sahin Kursad, Merve; Cokluk Bokeoglu, Omay; Cikrikci, Rahime Nukhet – International Journal of Assessment Tools in Education, 2022
Item parameter drift (IPD) is the systematic differentiation of parameter values of items over time due to various reasons. If it occurs in computer adaptive tests (CAT), it causes errors in the estimation of item and ability parameters. Identification of the underlying conditions of this situation in CAT is important for estimating item and…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Error of Measurement
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Kilic, Abdullah Faruk; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items,…
Descriptors: Factor Analysis, Computation, Least Squares Statistics, Maximum Likelihood Statistics
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Altun, Hatice – International Journal of Assessment Tools in Education, 2021
Although corpora and corpus linguistics have been applied for quite long in foreign and second language settings, there is still limited understanding about how EFL learners use corpus tools along with dictionaries to enhance their collocation knowledge. This study aims to gain insight into the effectiveness of corpus-based pedagogy in comparison…
Descriptors: Computational Linguistics, Phrase Structure, Dictionaries, Second Language Learning
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Ayan, Cansu; Baris Pekmezci, Fulya – International Journal of Assessment Tools in Education, 2021
Testlets have advantages such as making it possible to measure higher-order thinking skills and saving time, which are accepted in the literature. For this reason, they have often been preferred in many implementations from in-class assessments to large-scale assessments. Because of increased usage of testlets, the following questions are…
Descriptors: Foreign Countries, International Assessment, Secondary School Students, Achievement Tests
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Soysal, Sumeyra; Yilmaz Kogar, Esin – International Journal of Assessment Tools in Education, 2021
In this study, whether item position effects lead to DIF in the condition where different test booklets are used was investigated. To do this the methods of Lord's chi-square and Raju's unsigned area with the 3PL model under with and without item purification were used. When the performance of the methods was compared, it was revealed that…
Descriptors: Item Response Theory, Test Bias, Test Items, Comparative Analysis
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Diaz, Emily; Brooks, Gordon; Johanson, George – International Journal of Assessment Tools in Education, 2021
This Monte Carlo study assessed Type I error in differential item functioning analyses using Lord's chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure. Two research interests were investigated: item response theory (IRT) model specification in LC and the LRT and continuity correction in the MH procedure. This study…
Descriptors: Test Bias, Item Response Theory, Statistical Analysis, Comparative Analysis
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Lee, Hyung Rock; Sung, Jaeyun; Lee, Sunbok – International Journal of Assessment Tools in Education, 2021
Conventional estimators for indirect effects using a difference in coefficients and product of coefficients produce the same results for continuous outcomes. However, for binary outcomes, the difference in coefficient estimator systematically underestimates the indirect effects because of a scaling problem. One solution is to standardize…
Descriptors: Statistical Analysis, Computation, Regression (Statistics), Scaling
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