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In this way, Latent GOLD®’s factor module has several advantages over traditional factor analysis:
Latent GOLD® improves over traditional ad-hoc types of cluster analysis methods by including model selection criteria and probability-based classification. Posterior membership probabilities are estimated directly from the model parameters and used to assign cases to the classes.
Choice add-on允许通过点击式界面评估离散选择模型。当同时获得Choice和Advanced / Syntax附加组件时，可以估计各种选择模型，还可以使用Syntax进一步定制离散选择模型。
产品组合
Latent GOLD Basic
Latent GOLD Basic + Adv/Syntax
Latent GOLD Basic + Choice
Latent GOLD Basic + Choice + Adv/Syntax
Two important survey sampling designs are stratified sampling -- sampling cases within strata, and two-stage cluster sampling -- sampling within primary sampling units (PSUs) and subsequent sampling of cases within the selected PSUs. Moreover, sampling weights may exist.
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