Academic Journal
Detection of Differential Item Functioning with Latent Class Analysis: PISA 2018 Mathematical Literacy Test
العنوان: | Detection of Differential Item Functioning with Latent Class Analysis: PISA 2018 Mathematical Literacy Test |
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اللغة: | English |
المؤلفون: | Selim Dasçioglu (ORCID |
المصدر: | International Journal of Assessment Tools in Education. 2024 11(2):249-269. |
الاتاحة: | International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://dergipark.org.tr/en/pub/ijate |
Peer Reviewed: | Y |
Page Count: | 21 |
تاريخ النشر: | 2024 |
نوع الوثيقة: | Journal Articles Reports - Research |
Education Level: | Secondary Education |
Descriptors: | Test Items, Item Analysis, Mathematics Tests, Literacy, Numeracy, International Assessment, Achievement Tests, Foreign Countries, Secondary School Students, Scores, Multivariate Analysis |
مصطلحات جغرافية: | Turkey, United Kingdom, Finland, Japan, United States |
Assessment and Survey Identifiers: | Program for International Student Assessment |
تدمد: | 2148-7456 |
مستخلص: | The purpose of this research is to determine whether PISA 2018 mathematical literacy test items show a differential item functioning across countries. For this purpose, only the items in booklet number three were examined using the MIMIC method with Latent Class Analysis (LCA) approach. PISA 2018 tests are mostly developed in English. Therefore, in DIF analyses, the reference group is the UK, while the focal groups consist of the other countries examined in the research (Türkiye, Finland, Japan, and the USA). According to the results, of the 23 test items, statistically significant DIF was observed in eight items in the UK-Türkiye sample, in seven items in the UK-Finland sample, in eleven items in the UK-Japan sample, and in three items in the UK-USA sample. It is seen that the effect and size of DIF in non-homogeneous groups differ between groups and these effects can be examined in more detail with the LCA method. |
Abstractor: | As Provided |
Entry Date: | 2024 |
رقم الانضمام: | EJ1440387 |
قاعدة البيانات: | ERIC |
تدمد: | 2148-7456 |
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