Person Explanatory Item Response Theory Analysis: Latent Regression Two Parameter Logistic Model
In this paper, the application of latent regression two-parameter logistic (2-PL) model as an explanatory item response model (EIRM) was illustrated using a part of TIMSS 2007 Science data for Turkey. For this purpose, initially item parameters were calculated via 2-PL IRT and latent regression 2-PL...
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| Veröffentlicht in: | Egitim ve Bilim 2013-04, Vol.38 (168) |
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| creator | Atar, Burcu Aktan, Derya Çobanoglu |
| description | In this paper, the application of latent regression two-parameter logistic (2-PL) model as an explanatory item response model (EIRM) was illustrated using a part of TIMSS 2007 Science data for Turkey. For this purpose, initially item parameters were calculated via 2-PL IRT and latent regression 2-PL models. Then, in the latent regression 2-PL model, the effects of gender, positive affect toward science, valuing science, self-confidence in learning science, and education level of parents as person properties on the student achievement were examined. It was seen that among those properties only self confidence in learning science and education level of parents had a statistically significant effects on explaining the differences in students' achievements. Based on fit indices, it was found that latent regression 2-PL model had a better model fit to data than 2-PL IRT model. |
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For this purpose, initially item parameters were calculated via 2-PL IRT and latent regression 2-PL models. Then, in the latent regression 2-PL model, the effects of gender, positive affect toward science, valuing science, self-confidence in learning science, and education level of parents as person properties on the student achievement were examined. It was seen that among those properties only self confidence in learning science and education level of parents had a statistically significant effects on explaining the differences in students' achievements. 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| identifier | ISSN: 1300-1337 |
| ispartof | Egitim ve Bilim, 2013-04, Vol.38 (168) |
| issn | 1300-1337 |
| language | tur |
| recordid | cdi_proquest_journals_1521710428 |
| source | EBSCOhost Education Source |
| subjects | Academic Achievement Gender Discrimination Item Response Theory Logistics Parameter estimation Regression analysis Science Achievement Science Instruction |
| title | Person Explanatory Item Response Theory Analysis: Latent Regression Two Parameter Logistic Model |
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