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Re: st: AW: estimation of series of OLS regressions based on t-values from previous regression
From |
John Antonakis <[email protected]> |
To |
[email protected] |
Subject |
Re: st: AW: estimation of series of OLS regressions based on t-values from previous regression |
Date |
Fri, 30 Jan 2009 14:40:14 +0100 |
The more the independent variables and the smaller the sample size, the
higher the likelihood that you'll capitalize on chance. Many good
journals don't even consider manuscripts anymore than have used stepwise:
Thompson, B. (1995). Stepwise regression and stepwise discriminant
analysis need not apply here: A guidelines editorial. Educational and
Psychological Methods, 4, 525-534.
Best,
John
____________________________________________________
Prof. John Antonakis
Associate Dean
Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
____________________________________________________
On 30.01.2009 14:24, Richard Williams wrote:
> At 03:31 AM 1/30/2009, Martin Weiss wrote:
>> <>
>>
>> sdm,
>>
>> you could try -stepwise- with the -lockterm1- option. This option forces
>> -stepwise- to hold on to the first term no matter what. You can
specify this
>> first term with parantheses so it can include several covariates, in
your
>> case x1- x200...
>
> I almost suggested the same thing. One problem is that it might take
an eternity to run. Stepwise is going to drop one variable at a time,
whereas sdm is willing to drop huge chunks at a time that don't meet the
desired criteria. Still, it might be worth trying using the lockterm1
and pr(.05) options.
>
> My guess is that if somebody really wanted to, they could write a
routine that looked at the t-values and then only kept those Xs that met
the desired criteria. (But I don't really want to so I'm not going to
bother!)
>
> Of course, there are qualms about stepwise regression in general, let
alone stepwise regression involving 200 variables.
>
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
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>
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