Academic Journal

Detection of Differential Item Functioning with Latent Class Analysis: PISA 2018 Mathematical Literacy Test

التفاصيل البيبلوغرافية
العنوان: Detection of Differential Item Functioning with Latent Class Analysis: PISA 2018 Mathematical Literacy Test
اللغة: English
المؤلفون: Selim Dasçioglu (ORCID 0000-0001-6820-4585), Tuncay Ögretmen (ORCID 0000-0001-7783-1409)
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