One can show algebraically that when the sample sizes are equal, the
pooled variance t test and separate variance t test are equivalent.  So
that if you agree with the work by Donald Zimmerman below and Karl's
thinking, there is no reason to ever use the pooled variance t test.

Howard Kaplon

"Karl L. Wuensch" wrote:

> Monte Carlo work by Donald W. Zimmerman (Some properties of
> preliminary tests of equality of variances in the two-sample location
> problem, Journal of General Psychology, 1996, 123, 217-231) has
> indicated that two stage testing (comparing the variances to determine
> whether to conduct a pooled test or a separate variances test) is not
> a good procedure, especially when the sample sizes differ greatly (3
> or 4 times as many subjects in one group than in the other, in which
> case the pooled test performs poorly even when the ratio of variances
> is as small as 1.5).Zimmerman's advice is that the separate variances
> t should be applied unconditionally whenever sample sizes are
> unequal.Given the results of his Monte Carlo study, I think this is
> good advice, and I advise my students to adopt the practice of using
> the separate variances test whenever they have unequal sample sizes.I
> still believe that the pooled test may be appropriate (and more
> powerful) when the sample sizes are nearly equal and the variances not
> greatly heterogeneous, but carefully defining "nearly equal sample
> sizes" and "not greatly heterogeneous variances" is not something I
> care to tackle.
>
>      -------------------------------------------------------------
>      Karl L. Wuensch, Department of Psychology,
>      East Carolina University, Greenville NC  27858-4353
>      Voice:  252-328-4102     Fax:  252-328-6283
>      [EMAIL PROTECTED]
>      http://core.ecu.edu/psyc/wuenschk/klw.htm
>
>
>
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|                                                     |
|          E-mail: [EMAIL PROTECTED]                 |
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