Univariate ANOVA

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Univariate ANOVA

Nabaneeta Saha
Hello,

I am trying to do a simple Univariate ANOVA, my dependable variable is
continuous and I have three independent variables which are categorical.
My data looks something like this:
0        0        0        0.79
1        0        0        0.97
0        1        0        1.26
1        1        0        1.03
0        0        1        0.12
1        0        1        0.11
0        1        1        0.27
1        1        1        0.31


I keep on getting this result where the F and P values are dots (.) and it
says a. R Squared = 1.000 (Adjusted R Squared = .)

Could anyone please let me know where am I going wrong.

Thanks!
Nsaha

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Re: Univariate ANOVA

Maguin, Eugene
ARGH! What is your syntax?? If you're using the menus, copy the syntax command from the output and post to the list.
Gene Maguin

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Nabaneeta Saha
Sent: Thursday, May 09, 2013 12:47 PM
To: [hidden email]
Subject: Univariate ANOVA

Hello,

I am trying to do a simple Univariate ANOVA, my dependable variable is continuous and I have three independent variables which are categorical.
My data looks something like this:
0        0        0        0.79
1        0        0        0.97
0        1        0        1.26
1        1        0        1.03
0        0        1        0.12
1        0        1        0.11
0        1        1        0.27
1        1        1        0.31


I keep on getting this result where the F and P values are dots (.) and it says a. R Squared = 1.000 (Adjusted R Squared = .)

Could anyone please let me know where am I going wrong.

Thanks!
Nsaha

=====================
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Re: Univariate ANOVA

David Marso
Administrator
In reply to this post by Nabaneeta Saha
"let me know where am I going wrong."
You are posting a question without showing us what you are doing (ie posting your syntax).
Leaving us to throw dice and abuse our imagination.
That is wrong!
--
Nabaneeta Saha wrote
Hello,

I am trying to do a simple Univariate ANOVA, my dependable variable is
continuous and I have three independent variables which are categorical.
My data looks something like this:
0        0        0        0.79
1        0        0        0.97
0        1        0        1.26
1        1        0        1.03
0        0        1        0.12
1        0        1        0.11
0        1        1        0.27
1        1        1        0.31


I keep on getting this result where the F and P values are dots (.) and it
says a. R Squared = 1.000 (Adjusted R Squared = .)

Could anyone please let me know where am I going wrong.

Thanks!
Nsaha

=====================
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
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For a list of commands to manage subscriptions, send the command
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Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
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Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"
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Re: Univariate ANOVA

Nabaneeta Saha
UNIANOVA reduction BY Bug Coup Time
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /CRITERIA=ALPHA(0.05)
  /DESIGN=Bug Coup Time Bug*Coup Bug*Time Coup*Time Bug*Coup*Time.




On Thu, May 9, 2013 at 12:58 PM, David Marso <[hidden email]> wrote:
"let me know where am I going wrong."
You are posting a question without showing us what you are doing (ie posting
your *syntax*).
Leaving us to throw dice and abuse our imagination.
That is wrong!
--

Nabaneeta Saha wrote
> Hello,
>
> I am trying to do a simple Univariate ANOVA, my dependable variable is
> continuous and I have three independent variables which are categorical.
> My data looks something like this:
> 0        0        0        0.79
> 1        0        0        0.97
> 0        1        0        1.26
> 1        1        0        1.03
> 0        0        1        0.12
> 1        0        1        0.11
> 0        1        1        0.27
> 1        1        1        0.31
>
>
> I keep on getting this result where the F and P values are dots (.) and it
> says a. R Squared = 1.000 (Adjusted R Squared = .)
>
> Could anyone please let me know where am I going wrong.
>
> Thanks!
> Nsaha
>
> =====================
> To manage your subscription to SPSSX-L, send a message to

> LISTSERV@.UGA

>  (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD





-----
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"
--
View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Univariate-ANOVA-tp5720136p5720139.html
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=====================
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Re: Univariate ANOVA

Swank, Paul R
I asssume you have many more obserations for each combination of independent variables?

Paul R. Swank, Ph.D., Professor
Health Promotions and Behavioral Sciences
School of Public Health
University of Texas Health Science Center Houston

________________________________
From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Nabaneeta Saha [[hidden email]]
Sent: Thursday, May 09, 2013 12:05 PM
To: [hidden email]
Subject: Re: Univariate ANOVA

UNIANOVA reduction BY Bug Coup Time
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /CRITERIA=ALPHA(0.05)
  /DESIGN=Bug Coup Time Bug*Coup Bug*Time Coup*Time Bug*Coup*Time.




On Thu, May 9, 2013 at 12:58 PM, David Marso <[hidden email]<mailto:[hidden email]>> wrote:
"let me know where am I going wrong."
You are posting a question without showing us what you are doing (ie posting
your *syntax*).
Leaving us to throw dice and abuse our imagination.
That is wrong!
--

Nabaneeta Saha wrote

> Hello,
>
> I am trying to do a simple Univariate ANOVA, my dependable variable is
> continuous and I have three independent variables which are categorical.
> My data looks something like this:
> 0        0        0        0.79
> 1        0        0        0.97
> 0        1        0        1.26
> 1        1        0        1.03
> 0        0        1        0.12
> 1        0        1        0.11
> 0        1        1        0.27
> 1        1        1        0.31
>
>
> I keep on getting this result where the F and P values are dots (.) and it
> says a. R Squared = 1.000 (Adjusted R Squared = .)
>
> Could anyone please let me know where am I going wrong.
>
> Thanks!
> Nsaha
>
> =====================
> To manage your subscription to SPSSX-L, send a message to

> LISTSERV@.UGA

>  (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD





-----
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"
--
View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Univariate-ANOVA-tp5720136p5720139.html
Sent from the SPSSX Discussion mailing list archive at Nabble.com.

=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email]<mailto:[hidden email]> (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD

=====================
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[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
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Re: Univariate ANOVA

David Marso
Administrator
In reply to this post by Nabaneeta Saha
With N=8 and fitting a saturated model (ME, 2 way and the 3 way) you end up with 0 DF Error. That will result in an undefined F since MSE can't be computed.
Review your statistics.
Compare:
UNIANOVA
  dv  BY a b c
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = a b c a*b a*c b*c a*b*c .

*VS*:

UNIANOVA
  dv  BY a b c
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = a b c a*b a*c b*c .

*VS*.

UNIANOVA
  dv  BY a b c
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = a b c .
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"
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Re: Univariate ANOVA

David Marso
Administrator
In reply to this post by Swank, Paul R
I suspect that N=8 ergo the undefined F (0 dfe) and R^2=1 even adding 1 more case to the mix would alter this.  OTOH: OP needs to hit the books!
--
Swank, Paul R wrote
I asssume you have many more obserations for each combination of independent variables?

Paul R. Swank, Ph.D., Professor
Health Promotions and Behavioral Sciences
School of Public Health
University of Texas Health Science Center Houston

________________________________
From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Nabaneeta Saha [[hidden email]]
Sent: Thursday, May 09, 2013 12:05 PM
To: [hidden email]
Subject: Re: Univariate ANOVA

UNIANOVA reduction BY Bug Coup Time
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /CRITERIA=ALPHA(0.05)
  /DESIGN=Bug Coup Time Bug*Coup Bug*Time Coup*Time Bug*Coup*Time.




On Thu, May 9, 2013 at 12:58 PM, David Marso <[hidden email]<mailto:[hidden email]>> wrote:
"let me know where am I going wrong."
You are posting a question without showing us what you are doing (ie posting
your *syntax*).
Leaving us to throw dice and abuse our imagination.
That is wrong!
--

Nabaneeta Saha wrote
> Hello,
>
> I am trying to do a simple Univariate ANOVA, my dependable variable is
> continuous and I have three independent variables which are categorical.
> My data looks something like this:
> 0        0        0        0.79
> 1        0        0        0.97
> 0        1        0        1.26
> 1        1        0        1.03
> 0        0        1        0.12
> 1        0        1        0.11
> 0        1        1        0.27
> 1        1        1        0.31
>
>
> I keep on getting this result where the F and P values are dots (.) and it
> says a. R Squared = 1.000 (Adjusted R Squared = .)
>
> Could anyone please let me know where am I going wrong.
>
> Thanks!
> Nsaha
>
> =====================
> To manage your subscription to SPSSX-L, send a message to

> LISTSERV@.UGA

>  (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD





-----
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"
--
View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Univariate-ANOVA-tp5720136p5720139.html
Sent from the SPSSX Discussion mailing list archive at Nabble.com.

=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email]<mailto:[hidden email]> (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD

=====================
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
For a list of commands to manage subscriptions, send the command
INFO REFCARD
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"