The stationary variance assumptions of the simplex models can also change the estimates of ρ(Sw) dramatically. As an example, the SSEV model produces estimates that tend to decrease as w increases. To understand why, recall that total variance is the sum of true score and error variance. Therefore, if true score variance is held constant,

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