標題: Using SEM to Analyze Complex Survey Data: A Comparison between Design-Based Single-Level and Model-Based Multilevel Approaches
作者: Wu, Jiun-Yu
Kwok, Oi-man
教育研究所
Institute of Education
關鍵字: complex survey data;design-based approach;maximum model;model-based approach;multilevel SEM
公開日期: 2012
摘要: Both ad-hoc robust sandwich standard error estimators (design-based approach) and multilevel analysis (model-based approach) are commonly used for analyzing complex survey data with nonindependent observations. Although these 2 approaches perform equally well on analyzing complex survey data with equal between-and within-level model structures (B. O. Muthen & Satorra, 1995), the performances of these 2 approaches for analyzing multilevel data with unequal between-and within-level structures have not yet been systematically examined. In this study, we extended B. O. Muthen and Satorra's (1995) study by comparing these 2 approaches and an additional model-based maximum model for analyzing multilevel data considering number of clusters, cluster size, intraclass correlation, and the equality of different level structures. The simulation results showed the model-based maximum model generally performed well across conditions. This model is also recommended as an alternative for analyzing nonindependent survey data, especially when the information of the higher level model structure is not known.
URI: http://hdl.handle.net/11536/16202
ISSN: 1070-5511
期刊: STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
Volume: 19
Issue: 1
結束頁: 16
Appears in Collections:Articles


Files in This Item:

  1. 000302533000002.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.