TR
EN
Using ACER ConQuest program to examine multidimensional and many-facet models
Abstract
The main aim of this study was to introduce the ConQuest program, which is used in the analysis of multivariate and multidimensional data structures, and to show its applications on example data structures. To achieve this goal, a basic research approach was applied. Thus, how to use the ConQuest program and how to prepare the data set for analysis were explained step by step. Then, two example applications were made considering the multidimensional structures. Finally, different sources of variability (e.g., item, student, rater, gender), which are both multidimensional and independent of each other, were performed by considering different sources of variability together. According to the analyses, the dimensionality of the data structures must be examined in the analysis process. If the data structure is multidimensional, appropriate multidimensional IRT analyses should be performed.
Keywords
References
- Ackerman, T.A. (1994). Using multidimensional item response theory to understand what items and tests are measuring. Applied Measurement in Education, 7(4), 255–278. https://doi.org/10.1207/s15324818ame0704_1
- Adams, R.J., Wilson, M.R., & Wang, W. (1997). The Multidimensional Random Coefficients Multinomial Logit Model. Applied Psychological Measurement, 21, 1–24. https://doi.org/10.1177%2F0146621697211001
- Adams, R.J., Wilson, M.R., & Wu, M.L. (1997). Multilevel Item Response Models: An Approach to Errors in Variables Regression. Journal of Educational and Behavioural Statistics, 22, 46–75. https://doi.org/10.2307/1165238
- Adams, R., Cloney, D., Wu, M., Osses, A., Schwantner, V., & Vista, A. (2022). ACER ConQuest Manual. https://conquestmanual.acer.org/
- Adams, R.J, Wu, M.L, Cloney, D., and Wilson, M.R. (2020). ACER ConQuest: Generalised Item Response Modelling Software [Computer software]. Version 5. Camberwell, Victoria: Australian Council for Educational Research.
- Andrich, D. (1978). A Rating Formulation for Ordered Response Categories. Psychometrika, 43, 561–573. https://doi.org/10.1007/BF02293814
- Bartolomé, J., & Garaizar, P. (2022). Design and Validation of a Novel Tool to Assess Citizens’ Netiquette and Information and Data Literacy Using Interactive Simulations. Sustainability, 14(6), 3392. https://doi.org/10.3390/su14063392
- Bock, D.R., & Aitkin, M. (1981). Marginal Maximum Likelihood Estimation of Item Parameters: An Application of the EM Algorithm. Psychometrika, 46, 443–459. https://doi.org/10.1007/BF02293801
Details
Primary Language
English
Subjects
Other Fields of Education
Journal Section
Research Article
Publication Date
June 26, 2023
Submission Date
January 17, 2023
Acceptance Date
June 12, 2023
Published in Issue
Year 2023 Volume: 10 Number: 2
APA
Koyuncu, M. S., & Şata, M. (2023). Using ACER ConQuest program to examine multidimensional and many-facet models. International Journal of Assessment Tools in Education, 10(2), 279-302. https://doi.org/10.21449/ijate.1238248
Cited By
The Role of Time on Performance Assessment (Self, Peer and Teacher) in Higher Education: Rater Drift
Participatory Educational Research
https://doi.org/10.17275/per.23.77.10.5