Improper solutions in structural equation models  

Oleh:

Paxton, Pamela ; Bolllen, Kenneth A. ; Curran, Patrick J. ; He, Nian Chen ; Kirby, James B.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 29 no. 04 (May 2001), page 468-508.
Topik: inequality; investigation; Improper solutions
Fulltext: Paxton, Pamela ; Bolllen, Kenneth A.; Curran, Patrick J. ; He, Nian Chen ; Kirby, James B..pdf (3.53MB)

Ketersediaan

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

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Isi artikel

In this article, the authors examine the most common type of improper solutions: zero or negative error variances. They address the causes of, consequences of, and strategies to handle these issues. Several hypotheses are evaluated using Monte Carlo simulation models, including two structural equation models with several misspecifications of each model. Results suggested several unique findings. First, increasing numbers of omitted paths in the measurement model were associated with decreasing numbers of improper solutions. Second, bias in the parameter estimates was higher in samples with improper solutions than in samples including only proper solutions. Third, investigation of the consequences of using constrained estimates in the presence of improper solutions indicated that inequality constraints helped some samples achieve convergence. Finally, the use of confidence intervals as well as four other proposed tests yielded similar results when testing whether the error variance was greater than or equal to zero.

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