Investigation of a multistage adaptive test based on test assembly methods

Author:

Doğruöz Ebru1ORCID,Kelecioğlu Hülya2ORCID

Affiliation:

1. ÇANKIRI KARATEKİN ÜNİVERSİTESİ

2. HACETTEPE ÜNİVERSİTESİ, EĞİTİM FAKÜLTESİ

Abstract

In this research, multistage adaptive tests (MST) were compared according to sample size, panel pattern and module length for top-down and bottom-up test assembly methods. Within the scope of the research, data from PISA 2015 were used and simulation studies were conducted according to the parameters estimated from these data. Analysis results for each condition were compared in terms of mean RMSE and bias. According to the results obtained from the MST simulation based on the top-down test assembly method, mean RMSE values reduced when the module length increased and when the panel pattern changed from 1-2 to 1-2-2 and 1-2-3 for MST applied to small and large samples. Within the scope of the research, data from PISA 2015 were used and simulation studies were conducted using the parameters estimated from these data. Analysis results for each condition were compared in terms of mean RMSE and bias.

Publisher

International Journal of Assessment Tools in Education

Reference58 articles.

1. American Institute of Certified Public Accountants. (2019, February 18). CPA exam structure. https://www.aicpa.org/becomeacpa/cpaexam/examinationcontent.html

2. Belov, D.I. (2016). Review of modern methods for automated test assembly and item pool analysis. Law School Admission Council Research Report 16-01 March 2016, LSAC Research Report Series, 23 pages, https://www.lsac.org/docs/default-source/research-(lsac-resources)/rr-16-01.pdf

3. Breithaupt, K., Ariel, A., & Veldkamp, B. (2005). Automated simultaneous assembly for multistage testing. International Journal of Testing, 5(3), 319 330. https://doi.org/10.1207/s15327574ijt05038

4. Breithaupt, K., & Hare, D.R. (2007). Automated simultaneous assembly of multistage testlets for a high-stakes licensing examination. Educational and Psychological Measurement, 67(1), 5-20. https://doi.org/10.1177/0013164406288162

5. Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. CBS College Publishing.

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