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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/7353
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DC Field | Value | Language |
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dc.contributor.author | Gregory R. Hancock | - |
dc.contributor.author | Frank R. Lawrence | - |
dc.date.accessioned | 2024-02-27T06:08:04Z | - |
dc.date.available | 2024-02-27T06:08:04Z | - |
dc.date.issued | 2000 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/7353 | - |
dc.description.abstract | This article addresses the issue of Type I error rates and relative power of structured means, multiple-indicator multiple-cause, and multivariate analysis of variance approaches for testing construct mean differences within a one-factor, two-group design. This study crosses 3 dimensions factorially- group sample size (n = 100, 200, 400, 800), factor loading pattern (8 variations), and factor mean difference (ΔK = .2, .5, .8). Cases addressed include those where all factor loadings in both groups are equal, where loadings differ within a factor but are the same across groups, and where factor loading differ across groups. Type I error rates are investigated using Monte Carlo simulation methods, while a population analysis approach is used to assess power of modeling and multivariate analysis of variance methods | - |
dc.publisher | Structural Equation Modeling | - |
dc.title | Type I Error and Power of Latent Mean Methods and MANOVA in Factorially Invariant and Noninvariat Latent Variable Systems | - |
dc.vol | Vol 7 | - |
dc.issued | No 4 | - |
Appears in Collections: | Articles to be qced |
Files in This Item:
File | Size | Format | |
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Type I Error and Power of Latent Mean.pdf Restricted Access | 6.42 MB | Adobe PDF | View/Open Request a copy |
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