In his commentary on Varni et al.'s (Qual Life Res. doi: 10.1007/s11136-013-0370-4 , 2013) article, McIntosh (Qual Life Res. doi: 10.1007/s11136-013-0465-y , 2013) has two main arguments. First, we should have paid more attention to statistical tests (i.e., χ 2 values) instead of approximate fit indexes for our analysis, especially with the baseline model. Second, Bayesian methods are better than the frequentist methods we used in determining the model's invariance across age and gender groups. We believe that statistical tests do have a place in assessing model fit, but overemphasis on them, especially with larger sample sizes, can lead to errant decisions. Second, while we agree that Bayesian methods have the potential to contribute much to the field of assessing invariance, more development needs to be conducted before they can be widely utilized in assessing factorial invariance across groups.

译文

:在对Varni等人的文章(Qual Life Res。doi:10.1007 / s11136-013-0370-4,2013)的评论中,McIntosh(Qual Life Res。doi:10.1007 / s11136-013-0465-y, 2013年)有两个主要论点。首先,我们应该更加重视统计检验(即χ2值),而不是近似拟合指标来进行分析,尤其是对于基线模型。其次,贝叶斯方法要比我们用来确定模型在年龄和性别组中的不变性的常用方法更好。我们认为统计测试确实可以在评估模型拟合度中占有一席之地,但是过分强调它们(尤其是在样本量较大的情况下)可能会导致错误的决策。其次,虽然我们同意贝叶斯方法有可能在评估不变性方面做出很大贡献,但在将其广泛用于评估各组的因式不变性之前,还需要进行更多的开发。

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