Preliminary Proactive Sample Size Determination for Confirmatory Factor Analysis Models

被引：23

作者：

Koran, Jennifer ^{[1
]}

机构：

[1] Southern Illinois Univ Carbondale, Carbondale, IL USA

来源：

MEASUREMENT AND EVALUATION IN COUNSELING AND DEVELOPMENT | 2016年 / 49卷 / 04期

关键词：

confirmatory factor analysis; sample size; a priori; STRUCTURAL EQUATION MODELS; GOODNESS-OF-FIT; SOLUTION PROPRIETY; MONTE-CARLO; NUMBER; POWER; INDEXES;

D O I：

10.1177/0748175616664012

中图分类号：

G44 [教育心理学];

学科分类号：

0402 ; 040202 ;

摘要：

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

引用

页码：296 / 308

页数：13

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