Strengthening the assessment of factorial invariance across population subgroups: a commentary on Varni et al.(2013)
CN McIntosh - Quality of Life Research, 2013 - Springer
Objectives This article provides a commentary in response to “Varni et al.(Qual Life Res. doi:
10.1007/s11136-013-0370-4, 2013)." Methods and results The commentary argues that the
approximate model fit indexes commonly used in maximum-likelihood confirmatory factor
analysis and factorial invariance testing are seriously flawed, as they overlook potentially
serious model misspecifications that could bias parameter estimates and compromise
inference. Conclusions Flexible and convenient Bayesian estimation approaches are …
10.1007/s11136-013-0370-4, 2013)." Methods and results The commentary argues that the
approximate model fit indexes commonly used in maximum-likelihood confirmatory factor
analysis and factorial invariance testing are seriously flawed, as they overlook potentially
serious model misspecifications that could bias parameter estimates and compromise
inference. Conclusions Flexible and convenient Bayesian estimation approaches are …
Commentary on strengthening the assessment of factorial invariance across population subgroups: a commentary on Varni et al.(2013)
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 (ie, 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 …
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 (ie, 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 …
以上显示的是最相近的搜索结果。 查看全部搜索结果