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.
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页码：296 / 308
页数：13
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