Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Richard Williams <richardwilliams.ndu@gmail.com> |

To |
statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu |

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

Date |
Mon, 03 Sep 2012 15:44:30 -0500 |

At 11:00 AM 9/3/2012, Maarten Buis wrote:

On Mon, Sep 3, 2012 at 4:54 PM, Yuval Arbel wrote: > Nick and Maarten, Note, that Kmenta's message is to prefer models with > less restrictions. As always, there is no such thing as a free lunch. Less restrictions typically cost statistical power, and if the restriction works well for a particular applications, not using it will be a waste. Moreover, such statements are in practice used to prefer models with less known restrictions over models with well known restrictions. For example, I have seen it used to prefer an -oprobit- over an -ologit- because -ologit- implies the proportional odds assumption and -oprobit- implies an equivalent assumption with a less memorable name.

> Moreover, are you suggesting we can deal in the same manner with > quantitative values and ordinal variables? if our independent > variables are what subjects marked on a questionnaire on a scale > between 1 to 5 is the statistical treatment within a regression > analysis framework should be identical to an independent variable > measured in US dollars? No, all I am saying is that I do not rule out that there exists an application where treating a ordinal variable as having a linear effect works well enough and that it is worth checking whether that is the case, as you can safe a lot of power that way. Moreover, an amount in dollars may not be as cardinal as one might hope; often respondents round their answers considerably even if asked to provide exact answers.

http://www.stata.com/bookstore/regression-models-categorical-dependent-variables/index.html ------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * 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:*Cameron McIntosh <cnm100@hotmail.com>

**References**:**Re: st: RE: Mean test in a Likert Scale***From:*Ulrich Kohler <kohler@wzb.eu>

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

**Re: st: RE: Mean test in a Likert Scale***From:*Ulrich Kohler <kohler@wzb.eu>

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

**Re: st: RE: Mean test in a Likert Scale***From:*Yuval Arbel <yuval.arbel@gmail.com>

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

**Re: st: RE: Mean test in a Likert Scale***From:*Maarten Buis <maartenlbuis@gmail.com>

**Re: st: RE: Mean test in a Likert Scale***From:*Yuval Arbel <yuval.arbel@gmail.com>

**Re: st: RE: Mean test in a Likert Scale***From:*Maarten Buis <maartenlbuis@gmail.com>

- Prev by Date:
**st: RE: question on nested logit** - Next by Date:
**st: Probability Tree** - Previous by thread:
**Re: st: RE: Mean test in a Likert Scale** - Next by thread:
**RE: st: RE: Mean test in a Likert Scale** - Index(es):