OVERALL FIT IN COVARIANCE STRUCTURE MODELS - 2 TYPES OF SAMPLE-SIZE EFFECTS
OVERALL FIT IN COVARIANCE STRUCTURE MODELS - 2 TYPES OF SAMPLE-SIZE EFFECTS
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DOI：
10.1037/0033-2909.107.2.256
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发表时间：
1990-03-01
影响因子：
22.4
通讯作者：
BOLLEN, KA
中科院分区：
文献类型：
--
作者：
BOLLEN, KA
协方差结构模型中一个有争议的领域是整体模型拟合的评估。研究人员对样本量对拟合度的影响表示担忧。关于哪些拟合统计量受 N 的影响，人们提出了许多相互矛盾的说法。造成混淆的部分原因是存在两种类型的样本量效应。第一个是N是否直接进入拟合测度的计算。第二个问题是拟合指数的抽样分布均值是否与样本量相关。我解释了这些类型的样本量效应，并用主要结构方程拟合指数来说明它们。此外，我根据这种区别研究了当前关于样本量影响的争论。
A controversial area in covariance structure models is the assesment of overall model fit. Researchers have expressed concern over the influence of sample size on measures of fit. Many contradictory claims have been made regarding which fit statistics are affected by N. Part of the confusion is due to there being two types of sample size effects that are confounded. The first is whether N directly enters the calculation of a fit measure. The second is whether the means of the sampling distributions of a fit index are associated with sample size. I explain these types of sample size effects and illustrate them with the major structural equation fit indices. In addition, I examine the current debate on sample size influences in light of this distinction.