The Impact of Q-matrix Misspecification and Model Misuse on Classification Accuracy in the Generalized DINA Model
In: Journal of Measurement and Evaluation in Education and Psychology, Jg. 8 (2017), Heft 4, S. 391-403
Online
academicJournal
Zugriff:
This simulation study explored the impact of Q-matrix misspecification and model misuse on examinees’ classification accuracy within the generalized deterministic input, noisy “and” gate (G-DINA) model framework under the different conditions. The data was generated by saturated G-DINA model. Along with the generating model, two reduced models were used to fit the data: the additive CDM (A-CDM) and DINA model. The manipulated conditions included number of respondents, attribute correlations and test length. Two types of classification accuracy were examined: the overall classification accuracy and the class-specific classification accuracy. Results showed that the Q-matrix misspecification influenced classification accuracy more ominously than model misuse. The proportion of examinees classified correctly for each latent class was related to the types of Q-matrix misspecification. More test items had greater positive impact on classification accuracy than more respondents taking the test.
Titel: |
The Impact of Q-matrix Misspecification and Model Misuse on Classification Accuracy in the Generalized DINA Model
|
---|---|
Autor/in / Beteiligte Person: | Miao, GAO ; M. David, MILLER ; Ren, LIU |
Link: | |
Zeitschrift: | Journal of Measurement and Evaluation in Education and Psychology, Jg. 8 (2017), Heft 4, S. 391-403 |
Veröffentlichung: | EPODDER, 2017 |
Medientyp: | academicJournal |
ISSN: | 1309-6575 (print) |
DOI: | 10.21031/epod.332712 |
Schlagwort: |
|
Sonstiges: |
|