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I don't see any reason to use option B. There's no reason why a 5-point scale should be more valid than a 3-point one, and re-scaling is somewhat arbitrary because you could also put point 2-4 in the medium category. What I cannot guarantee is the validity of option A, but this doesn't have to do with whether your scale has 3 or 5 points (and is therefore ...


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1) Is method 1 or method 2 better? In my opinion this depends on the background and what you want. Method 1 gives more differentiated information, method 2 focuses on the decision problem and forces people to not sit on the fence (by giving 2 or 3 versions the same score). This is a subject matter/psychological issue, not a statistical one. 2) In both cases ...


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Many ways you can do Normalize the features, normalization will help reduce the "effect" of certain feature, for example in the housing prediction data, some features range between 0 and 1, but if one feature is range between 0 and 1000, that will "weight" more on that feature, so you first need to normalize the features and make them all between 0 and 1. (...


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