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sem.Rmd
@@ -1547,9 +1547,11 @@ speed =~ x7 + x8 + x9
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fit <- cfa(
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HS.model,
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data = HolzingerSwineford1939,
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+ missing = "ML",
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+ estimator = "MLR",
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bounds = "pos.var", # forces all variances of both observed and latent variables to be strictly nonnegative
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rstarts = 10, # random starts
- verbose = TRUE)
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+ verbose = TRUE) # print all output
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```
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# Power Analysis {#powerAnalysis}
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