Latent structureScale / measurement
贝叶斯收敛效度
贝叶斯收敛效度运用贝叶斯统计推断来评估理论预测的不同测量工具是否能够收敛于同一构念。它不提供单一的相关估计值，而是提供关于收敛相关性的完整后验分布，从而能够对理论上相关的测量工具之间共享变异的幅度做出概率性陈述。
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来源
- Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952
- Van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J. & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1. DOI: 10.1038/s43586-020-00001-2 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Convergent Validity Assessment. ScholarGate. https://scholargate.app/zh/psychometrics/bayesian-convergent-validity
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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