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SUMMARY:Novel Latent Variable Modeling and Methods for Complex Large-scale
  Assessments - Chun Wang
DTSTART:20260217T120000Z
DTEND:20260217T130000Z
UID:TALK243688@talks.cam.ac.uk
CONTACT:Luning Sun
DESCRIPTION:National and international large-scale assessments (LSA) remai
 n to provide the most comprehensive\, representative\, and credible data t
 o help educators\, legislators\, and the public assess what students know 
 and can do in various subject areas. Due to rapid advances in information 
 technology\, digital transition\, and the need of assessing multifaceted c
 onstructs\, the increasingly rich LSA data pose great challenges to existi
 ng techniques used to handle and analyze heterogeneous assessment data. In
  this talk\, I will start with the typical analytical flowchart of LSA and
  introduce the novel methods we developed for different segments of the pr
 otocol. Specifically\, I will present a family of innovative methods for m
 ulti-cultural analysis of LSA. I will also introduce novel factor regulari
 zation methods to support constructing robust latent regressions and gener
 ating plausible values for secondary analyses. Although the methods are mo
 tivated by large-scale educational surveys\, they can also be used in psyc
 hological assessments\, such as data harmonizations across multi-site stud
 ies.
LOCATION:S3.04\, Simon Sainsbury Centre\, Cambridge Judge Business School
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