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Hierarchical factor item response theory models for PIRLS: capturing clustering effects at multiple levels 1 Frank Rijmen
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Document Date: 2012-01-04 07:01:18


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City

Princeton / /

Company

Sainsbury / /

Country

United States / /

Facility

Institute of Education Sciences / Boston College / PIRLS International Study Center / /

IndustryTerm

EM algorithm / /

Organization

Institute of Education Sciences / International Association for the Evaluation of Educational Achievement / Boston College / Educational Testing Service / PIRLS International Study Center / Frank Rijmen Educational Testing Service / U.S. Department of Education / senate / /

Person

Similar / /

Position

author / model for binary data / model / General / double-structure bifactor model / /

ProvinceOrState

New Jersey / /

SportsLeague

International Association / /

Technology

EM algorithm / /

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