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 SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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 ===================== 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 ===================== 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 |
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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! --
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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:
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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 |
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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.
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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!
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