FULL-INFORMATION ITEM BIFACTOR ANALYSIS
FULL-INFORMATION ITEM BIFACTOR ANALYSIS
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DOI：
10.1007/bf02295430
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发表时间：
1992-09-01
期刊：
影响因子：
3
通讯作者：
HEDEKER, DR
中科院分区：
文献类型：
--
作者：
GIBBONS, RD;HEDEKER, DR
对于许多类型的心理和教育测试，一个合理的s因子解决方案是展示一个一般因子和s - 1组或方法相关因子的解决方案。双因子解是由每个项在主维度上具有非零载荷和至多s - 1个组因子之一的约束产生的。本文推导了一个双因素项目反应模型。在项目参数的边际最大似然估计中，双因子限制导致似然方程的主要简化，并且（a）允许分析具有大量组因子的模型;（B）允许在确定的项目子集内的条件依赖;以及（c）在某些情况下提供比不受限制的全信息项目因子分析更简约的因子解。
A plausible s-factor solution for many types of psychological and educational tests is one that exhibits a general factor and s - 1 group or method related factors. The bi-factor solution results from the constraint that each item has a nonzero loading on the primary dimension and at most one of the s - 1 group factors. This paper derives a bi-factor item-response model for binary response data. In marginal maximum likelihood estimation of item parameters, the bi-factor restriction leads to a major simplification of likelihood equations and (a) permits analysis of models with large numbers of group factors; (b) permits conditional dependence within identified subsets of items; and (c) provides more parsimonious factor solutions than an unrestricted full-information item factor analysis in some cases.