Question: These quantitative statistical tests often assume interval/ratio scale, independence, and normality. After designing the research study and collecting the data, what happens if the data

These quantitative statistical tests often assume interval/ratio scale, independence, and normality. After designing the research study and collecting the data, what happens if the data violate these assumptions? Does the researcher collect more data? Would that additional data create validity problems because of the different sample conditions?

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