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

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

From |
Maarten Buis <maartenlbuis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Thu, 6 Sep 2012 11:11:57 +0200 |

On Thu, Sep 6, 2012 at 10:55 AM, Yuval Arbel <yuval.arbel@gmail.com> wrote: > Maarteen, I didn't quite follow the statement you made regarding free > lunch and restricted models. I thought the less restrictive the model > is the more powerful it is. It is well known, for example, that > estimation of unrestricted models always yield higher R-squares and > higher log-likelihood - so the LR statistics (or F-Statistics) for > testing the validity of a restriction imposed on a model have to be > positive The term statistical power as I used it refers to the power of a statistical test, i.e. the probability of rejecting an hypothesis when you should, not the ability of a model to predict. The former typically decreases as you relax constraints. The latter increases as you make your model more flexible, at least within sample (at some point you start to pick up random stuff specific to the sample, which means you loose the ability to generalize to the population). Butthat is another point. The point I made referred to the power of statistical tests performed within a model, which tends to decrease as you make the model more flexible. Hope this clarifies it, Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * 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/

**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:*Richard Williams <richardwilliams.ndu@gmail.com>

**RE: st: RE: Mean test in a Likert Scale***From:*Cameron McIntosh <cnm100@hotmail.com>

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

- Prev by Date:
**Re: st: RE: Mean test in a Likert Scale** - Next by Date:
**Re: st: RE: Mean test in a Likert Scale** - Previous by thread:
**Re: st: RE: Mean test in a Likert Scale** - Next by thread:
**st: RE: Mean test in a Likert Scale** - Index(es):