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From |
Ulrich Kohler <kohler@wzb.eu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: Mean test in a Likert Scale |

Date |
Sat, 01 Sep 2012 16:50:20 +0200 |

Am Samstag, den 01.09.2012, 02:16 +0100 schrieb Nick Cox: > But this objection is so strong that it rules out taking out means in > most circumstances, not just for ordinal scales. > > It's clearly true that mean of transform is not transform of mean > unless that transform is a linear function. The same argument would > imply that means are invalid for measured variables (e.g. means of > miles per gallon, weight, price in the auto data) because they are not > equivariant under transformation. Both theory and practice tell us > that means, geometric means, harmonic means, etc. can all make some > sense for many measured variables. Poisson regression and generalised > linear models all hinge on this. Sorry but I disaggree here. For an intervall scale a transformation such as the one that I used in my example are not allowed because it would obvioulsy distroy the equal distance characteristic of subsequent values. For an intervall scale only linear transformations are allowed and therfore substantive conclusions taken from the mean are robust for arbitrary _allowed_ transformation of the intervall scale. > There's also a big difference of viewpoint here. Measurement theory > loves these arguments about arbitrary order-preserving > transformations, but I don't think they make much sense to scientists > who actually do measurements. But I don't think we -- that is me and you -- disaggree here. In way that's what I wanted to say when I said that an ordinal scale could be taken as kind of an "conventional" absolute scale in some instances. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: RE: Mean test in a Likert Scale***From:*Nick Cox <njcoxstata@gmail.com>

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