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Exact(6)

The CFA results show that a six-factor model with items loaded on the constructs they are supposed to measure fitted the data well (χ2 (1160) = 2033.86, p < 0.01; CFI = 0.93, TLI = 0.92, RMSEA = 0.04).

We simulated data for the first sample according to a 2-factor model, with items 1 and 2 loading on Factor 1, with factor loadings of.4, and.5, respectively, and items 3 to 6 loading on Factor 2, with loadings of.7,.6,.5, and.4, respectively.

Moreover, it possesses a well-validated measurement model with items grouped in six subscales that assess the main components of children and adolescents QOL and well-being.

Using BIFACTOR [ 67], we fitted the full-information one-factor model and bifactor model with items 1 and 2 loading on both the general and specific factor.

Both found that three [ 30] and four [ 31] items showed poor fit to the Rasch model, with items 21- Sexual Activities and 26- Tingling being problematic in both studies, which is consistent with our results.

This result indicates local dependence between items 1 and 2. To see whether the two locally-dependent items should be treated as a separate scale, we also fitted a correlated two-factor model, in which items 3 to 10 load on one factor and items 1 and 2 load on the other factor, and a one-factor model with items 3 to 10 (having removed items 1 and 2).

Similar(54)

The general assumptions of IRT must also hold in order to estimate the IRT model with item position effects within the SEM framework.

The model with item I6, resulted in higher discriminating parameter, information and overall total information than the model with item I10.

Therefore, the model with item I6 was retained and is now explored.

For this study, we have chosen a 2PL model with item specific discrimination.

If the test reveals a strong significance, a model with item specific weights, preferably the GRM, will be a reasonable choice.

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