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Which of the following is an advantage of the partial least squares method of structural equation modeling? Solutions are possible with the simplest models, which

Which of the following is an advantage of the partial least squares method of structural equation modeling?

Solutions are possible with the simplest models, which are based on a few questions.

Only one type of analysis is possible.

The measurement requirements are very rigid and are designed to work exclusively with nominal data.

Solutions can be obtained with both small and large samples.

The method is parametric, so it can be applied to data that is not normally distributed.

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