ScholarGate
Trợ lý

So sánh phương pháp

Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.

Multidimensional Item Response Theory×Testlet Response Theory×
Lĩnh vựcEducationEducation
HọLatent structureLatent structure
Năm ra đời20092007
Người khởi xướngMark Reckase; foundations in factor analysis of items (Bock, McDonald)Howard Wainer, Eric Bradlow & Xiaohui Wang
LoạiItem response model with multiple latent ability dimensionsItem response model accommodating local dependence within item bundles (testlets)
Công trình gốcReckase, M. D. (2009). Multidimensional Item Response Theory. Springer. DOI ↗Wainer, H., Bradlow, E. T., & Wang, X. (2007). Testlet Response Theory and Its Applications. Cambridge University Press. ISBN: 9780521681261
Tên gọi khácMIRT, Multidimensional IRT, Compensatory MIRT, Bifactor IRTTRT, Testlet Models, Random-Effects Testlet Model, Item-Bundle IRT
Liên quan44
Tóm tắtMultidimensional item response theory (MIRT) generalizes IRT to tests that measure more than one latent ability at once. Instead of a single ability θ, each examinee is characterized by a vector of abilities, and each item by a vector of discriminations indicating how strongly it taps each dimension. MIRT unites the logic of item response theory with the structure of factor analysis, letting analysts model, for example, that a word-problem item draws on both reading and mathematics. Synthesized in Reckase's authoritative treatment, it underlies the analysis of complex, multi-skill assessments.Testlet response theory (TRT) extends item response theory to tests built from testlets — bundles of items sharing a common stimulus, such as several questions about one reading passage. Standard IRT assumes items are conditionally independent given ability, but items within a testlet violate this because they draw on the same passage. TRT adds a testlet-specific random effect that absorbs this local dependence, preventing the overstated precision and biased parameters that result from ignoring it. Developed by Wainer, Bradlow, and Wang, it is widely used wherever passage-based or scenario-based items appear.
ScholarGateBộ dữ liệu
  1. v1
  2. 2 Nguồn tài liệu
  3. PUBLISHED
  1. v1
  2. 2 Nguồn tài liệu
  3. PUBLISHED

Đến trang tìm kiếm Tải xuống bản trình chiếu

ScholarGateSo sánh phương pháp: Multidimensional Item Response Theory · Testlet Response Theory. Truy cập ngày 2026-06-24 từ https://scholargate.app/vi/compare