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Indeed, although EFA is a useful approach when there is an insufficient theoretical and empirical basis to specify a model, confirmatory factor analysis (CFA) remains necessary to test a specific hypothesis about the structure of the data and to determine whether a proposed model fits the data well

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Examples listed include certain smokeless tobacco scenarios, medical marijuana (case-dependent), sleep apnea with CPAP, and some anxiety/depression cases (case-specific)

My biggest complaint is that for the price it would have been nice to get more gimmicks/practice materials, and not have to build certain gimmicks yourself