ordering variables alphabetically

[Raffe, Sydelle, SSA]

I tried using the edit>options menu to click on alphabetical for the order of variables in the file. I click apply and ok but nothing happens. I'm running version 15. Thanks as always.

Sydelle Raffe, Alameda County Social Services Agency
Information Services Division, Office of Data Management
e:mail:  [hidden email]
phone: [phone]     fax: [phone]
If you have a request for information, please submit an ODM request form at:  https://alamedasocialservices.org/staff/support_services/statistics_and_reports/odm/index.cfm

 

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[Zdaniuk, Bozena-2]

It won't re-order variables in the file. It will change how it shows variables (alphabetically vs in file order) when you pull down a menu, like frequencies or descriptives.
Bozena

Bozena Zdaniuk, Ph.D.
University of Pittsburgh
UCSUR, 6th Fl.
121 University Place
Pittsburgh, PA 15260
Ph.: 412-624-5736
Fax: [phone]
Email: [hidden email]


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Raffe, Sydelle, SSA
Sent: Monday, January 12, 2009 3:59 PM
To: [hidden email]
Subject: ordering variables alphabetically

I tried using the edit>options menu to click on alphabetical for the order of variables in the file. I click apply and ok but nothing happens. I'm running version 15. Thanks as always.

Sydelle Raffe, Alameda County Social Services Agency
Information Services Division, Office of Data Management
e:mail:  [hidden email]
phone: [phone]     fax: [phone]
If you have a request for information, please submit an ODM request form at:  https://alamedasocialservices.org/staff/support_services/statistics_and_reports/odm/index.cfm



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[Valerie Guille-2]

Hi all,

I am wondering if someone could answer the following questions:
I found in several paper ANOVA stat reported as follow: Significance for
main treatment effects was assumed at p<0.05, interaction effects p<0.1
were also examined. When p <0.1 they call it a "marginal effect".

My questions are: what is a marginal effect exactly? What does that
implies statistically?
And
Is it really appropriate to follow up an interaction with a p<0.1
instead of p<0.05?

Thanks in advance,

Valerie

=====================
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[Albert-Jan Roskam]

Hi,

Using Python this can be done quite easily:

begin program.
""" Alphabetize variables in dataset. """
import spss, spssaux
vlist = spssaux.GetVariableNamesList()
vlist.sort()
strlist = " ".join(vlist)
spss.Submit("add files / file = * / keep = %s." % strlist)
spss.Submit("exe.")
end program.

Cheers!!
Albert-Jan



----- Original Message ----
From: "Zdaniuk, Bozena" <[hidden email]>
To: [hidden email]
Sent: Monday, January 12, 2009 10:11:11 PM
Subject: Re: ordering variables alphabetically

It won't re-order variables in the file. It will change how it shows variables (alphabetically vs in file order) when you pull down a menu, like frequencies or descriptives.
Bozena

Bozena Zdaniuk, Ph.D.
University of Pittsburgh
UCSUR, 6th Fl.
121 University Place
Pittsburgh, PA 15260
Ph.: 412-624-5736
Fax: [phone]
Email: [hidden email]


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Raffe, Sydelle, SSA
Sent: Monday, January 12, 2009 3:59 PM
To: [hidden email]
Subject: ordering variables alphabetically

I tried using the edit>options menu to click on alphabetical for the order of variables in the file. I click apply and ok but nothing happens. I'm running version 15. Thanks as always.

Sydelle Raffe, Alameda County Social Services Agency
Information Services Division, Office of Data Management
e:mail:  [hidden email]
phone: [phone]    fax: [phone]
If you have a request for information, please submit an ODM request form at:  https://alamedasocialservices.org/staff/support_services/statistics_and_reports/odm/index.cfm



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[bhina patria]

Hi,
Usually I just use the /KEEP from save command like this:

SAVE OUTFILE='C:/test.sav'
  /KEEP= varA varB varC.

I sorted the variable name in MS Word or OpenOffice.

This solution is kind of dirty, however it gets things done :)

greetings,
bhina

On Tue, Jan 13, 2009 at 9:37 AM, Albert-jan Roskam <[hidden email]> wrote:

> Hi,
>
> Using Python this can be done quite easily:
>
> begin program.
> """ Alphabetize variables in dataset. """
> import spss, spssaux
> vlist = spssaux.GetVariableNamesList()
> vlist.sort()
> strlist = " ".join(vlist)
> spss.Submit("add files / file = * / keep = %s." % strlist)
> spss.Submit("exe.")
> end program.
>
> Cheers!!
> Albert-Jan
>
>
>
> ----- Original Message ----
> From: "Zdaniuk, Bozena" <[hidden email]>
> To: [hidden email]
> Sent: Monday, January 12, 2009 10:11:11 PM
> Subject: Re: ordering variables alphabetically
>
> It won't re-order variables in the file. It will change how it shows
> variables (alphabetically vs in file order) when you pull down a menu, like
> frequencies or descriptives.
> Bozena
>
> Bozena Zdaniuk, Ph.D.
> University of Pittsburgh
> UCSUR, 6th Fl.
> 121 University Place
> Pittsburgh, PA 15260
> Ph.: 412-624-5736
> Fax: [phone]
> Email: [hidden email]
>
>
> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
> Raffe, Sydelle, SSA
> Sent: Monday, January 12, 2009 3:59 PM
> To: [hidden email]
> Subject: ordering variables alphabetically
>
> I tried using the edit>options menu to click on alphabetical for the order
> of variables in the file. I click apply and ok but nothing happens. I'm
> running version 15. Thanks as always.
>
> Sydelle Raffe, Alameda County Social Services Agency
> Information Services Division, Office of Data Management
> e:mail:  [hidden email]
> phone: [phone]    fax: [phone]
> If you have a request for information, please submit an ODM request form
> at:
> https://alamedasocialservices.org/staff/support_services/statistics_and_reports/odm/index.cfm
>
>
>
> =======
> To manage your subscription to SPSSX-L, send a message to
> [hidden email] (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
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>
> =====================
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> =====================
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>

--
http://www.e-mahe.com
http://www.inparametric.com

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[Swank, Paul R]

p-values are largely in the "eye of the beholder". What is significant
should be the decision of the reader. In this case, probably because the
test for the interaction is less powerful than the test for main
effects, the researcher has chosen to use a relaxed p value for the
interaction effect. This needs to be weighed against the ramifications
of making a type I error, just as we need to consider the ramifications
of making a type II error when we set alpha in the first place.

Paul R. Swank, Ph.D
Professor and Director of Research
Children's Learning Institute
University of Texas Health Science Center
Houston, TX 77038


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Valerie Guille
Sent: Monday, January 12, 2009 3:37 PM
To: [hidden email]
Subject: ANOVA main effect significant at p<0.05 and Interaction
marginal effect at p<0.1

Hi all,

I am wondering if someone could answer the following questions:
I found in several paper ANOVA stat reported as follow: Significance for
main treatment effects was assumed at p<0.05, interaction effects p<0.1
were also examined. When p <0.1 they call it a "marginal effect".

My questions are: what is a marginal effect exactly? What does that
implies statistically?
And
Is it really appropriate to follow up an interaction with a p<0.1
instead of p<0.05?

Thanks in advance,

Valerie

=====================
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=====================
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[Granaas, Michael]

In addition to what Paul said:

Because alpha = .05 is arguably an arbitrary cut-point some researchers feel that results with p-values close to .05, usually defined as .05 < p-value < .10, should be reported.  Having no better language for such findings they are typically referred to a "marginally significant."

Researchers differ on their opinions about the appropriateness of this practice.  

Michael

****************************************************
Michael Granaas             [hidden email]
Assoc. Prof.                Phone: [phone]
Dept. of Psychology         FAX:  [phone]
University of South Dakota
414 E. Clark St.
Vermillion, SD 57069
*****************************************************




-----Original Message-----
From: SPSSX(r) Discussion on behalf of Swank, Paul R
Sent: Tue 1/13/09 9:17 AM
To: [hidden email]
Subject: Re: ANOVA main effect significant at p<0.05 and Interaction marginal      effect at p<0.1
 
p-values are largely in the "eye of the beholder". What is significant
should be the decision of the reader. In this case, probably because the
test for the interaction is less powerful than the test for main
effects, the researcher has chosen to use a relaxed p value for the
interaction effect. This needs to be weighed against the ramifications
of making a type I error, just as we need to consider the ramifications
of making a type II error when we set alpha in the first place.

Paul R. Swank, Ph.D
Professor and Director of Research
Children's Learning Institute
University of Texas Health Science Center
Houston, TX 77038


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Valerie Guille
Sent: Monday, January 12, 2009 3:37 PM
To: [hidden email]
Subject: ANOVA main effect significant at p<0.05 and Interaction
marginal effect at p<0.1

Hi all,

I am wondering if someone could answer the following questions:
I found in several paper ANOVA stat reported as follow: Significance for
main treatment effects was assumed at p<0.05, interaction effects p<0.1
were also examined. When p <0.1 they call it a "marginal effect".

My questions are: what is a marginal effect exactly? What does that
implies statistically?
And
Is it really appropriate to follow up an interaction with a p<0.1
instead of p<0.05?

Thanks in advance,

Valerie

=====================
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[hidden email] (not to SPSSX-L), with no body text except the
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INFO REFCARD

=====================
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[Arthur Burke]

"Statistical significance is little more than technical jargon.  Over
the years, however, the jargon has acquired enormous - and richly
undeserved - emotional power".

---David Freedman

In any event, Valerie, try to report confidence intervals and/or effect
sizes.

Art
_____________________________________________
Art Burke
Northwest Regional Educational Laboratory
101 SW Main St, Suite 500
Portland, OR 97204-3213


-----Original Message-----
From: Granaas, Michael [mailto:[hidden email]]
Sent: Tuesday, January 13, 2009 9:37 AM
To: [hidden email]
Subject: Re: ANOVA main effect significant at p<0.05 and Interaction
marginal effect at p<0.1

In addition to what Paul said:

Because alpha = .05 is arguably an arbitrary cut-point some researchers
feel that results with p-values close to .05, usually defined as .05 <
p-value < .10, should be reported.  Having no better language for such
findings they are typically referred to a "marginally significant."

Researchers differ on their opinions about the appropriateness of this
practice.

Michael

****************************************************
Michael Granaas             [hidden email]
Assoc. Prof.                Phone: [phone]
Dept. of Psychology         FAX:  [phone]
University of South Dakota
414 E. Clark St.
Vermillion, SD 57069
*****************************************************




-----Original Message-----
From: SPSSX(r) Discussion on behalf of Swank, Paul R
Sent: Tue 1/13/09 9:17 AM
To: [hidden email]
Subject: Re: ANOVA main effect significant at p<0.05 and Interaction
marginal      effect at p<0.1

p-values are largely in the "eye of the beholder". What is significant
should be the decision of the reader. In this case, probably because the
test for the interaction is less powerful than the test for main
effects, the researcher has chosen to use a relaxed p value for the
interaction effect. This needs to be weighed against the ramifications
of making a type I error, just as we need to consider the ramifications
of making a type II error when we set alpha in the first place.

Paul R. Swank, Ph.D
Professor and Director of Research
Children's Learning Institute
University of Texas Health Science Center Houston, TX 77038


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Valerie Guille
Sent: Monday, January 12, 2009 3:37 PM
To: [hidden email]
Subject: ANOVA main effect significant at p<0.05 and Interaction
marginal effect at p<0.1

Hi all,

I am wondering if someone could answer the following questions:
I found in several paper ANOVA stat reported as follow: Significance for
main treatment effects was assumed at p<0.05, interaction effects p<0.1
were also examined. When p <0.1 they call it a "marginal effect".

My questions are: what is a marginal effect exactly? What does that
implies statistically?
And
Is it really appropriate to follow up an interaction with a p<0.1
instead of p<0.05?

Thanks in advance,

Valerie

=====================
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=====================
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=======
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