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Correlated residuals among first-orde... |
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Hi, We have a question about the higher-order model specified by the syntax below: t1S by t1PA*(t1l1) t1AD(t1l2) t1ES(t1l3); t3S by t3PA*(t3l1) t3AD(t3l2) t3ES(t3l3); t5S by t5PA*(t5l1) t5AD(t5l2) t5ES(t5l3); t7S by t7PA*(t7l1) t7AD(t7l2) t7ES(t7l3); T by t1S t3S t5S T7S; T@1; t3S on t1S (auto1); t5S on t3S (auto2); t7S on t5S (auto3); Our question is whether the autoregressive statements at the end apply to the residuals of the first-order factors (T1S through T7S) or to the first-order factors themselves? Thanks! |
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It is the factors themselves. See the FAQ on the website Regressing on Residuals if that is what you want. |
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Hello, Trying to improve my measurement model i added 1 cov residual, as the observed variables were semantically similar. However, the "warning message on PSI Matrix" appeared.. I compared the original model (without freeing residuals) but didn't find differences, such heywood cases, major variances, factor loading >.40 and so on... ps: The 3 LV (factors) have very high correlations. Nonetheless, original model didn't show problems with this model. Thank you. |
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If you can't find the reason for the Psi warning such as a factor corr > 1 - send output to Support along with license number. |
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