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Non-significant r2 in twolevel pathmo... |
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Inga BEck posted on Monday, June 30, 2008 - 3:33 am
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Hi! I am a relative beginner of multilevel modeling in mplus and mow modeled a 2-level path model. So no factors, just sum scores plus one context variable. My model model looks like this: Between: W--> A_bw --> B_bw Within: A_wi --> B_wi ICCs of the observed variabels range from .05 to .07. According to the indices, the model fits ok. Interestingly, I got a non-significant R-square on the between-level regarding the A_bw variable (two-tailed p = .18). But A_bw is regressed on W, and this effectis (using stdyx)both moderately large (beta=.45)and significant (z-ratio 2.64, p<.01) So what does a non-significant R-square on the between-level for A_bw acutally indicate? Does it indicate some source of misspecification in this model - despite the "good" fit of the indices and the theoretically expected estimates? Thanks for your help, Inga |
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A non-significant R-square indicates that the variance explained is not significantly different from zero. |
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Inga BEck posted on Monday, June 30, 2008 - 8:47 am
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yes I see, but this stands in contrast to the significant effect w --> A_bw, don't you think so? Best, Inga |
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I don't think so. A coefficient can be significantly different from zero and still not explain a significant amount of variance. The tests are not the same. |
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