Robustness studies in covariance structure modeling:An overview and meta-analysis  

Oleh:

Boomsma, Anne ; Hoogland, Jeffrey J.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 26 no. 03 (Feb. 1998), page 329-367.
Topik: statistics; Robustness studies

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

In covariance structure modeling, several estimation methods are available. The robustness of an estimator against specific violations of assumptions can be determined empirically by means of a Monte Carlo study. Many such studies in covariance structure analysis have been published, but the conclusions frequently seem to contradict each other. An overview of robustness studies in covariance structure analysis is given, and an attempt is made to generalize findings. Robustness studies are described and distinguished from each other systematically by means of certain characteristics. These characteristics serve as explanatory variables in a meta-analysis concerning the behavior of parameter estimators. standard error estimators, and goodness-of-fit statistics when the model is correctly specified.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali