hierarchical regression output

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hierarchical regression output

Roberts, Alan C.

I am attempting to run a hierarchical regression to examine a quadratic function. I entered the predictor in step 1, clicked next, and then entered the second variable (the predictor squared) in the second step. The problem is the output completely ignores the second step. The model summary only has Model 1. Does anyone have any idea of why this is happening? I have conducted hierarchical regressions before (although not with the quadratic function) and never had this problem before.  

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Re: hierarchical regression output

Maguin, Eugene

Is it possible that the squared term did not have a significant F-to-enter value? Were there any warnings or error messages? It would be extremely helpful to see the output. Even though the formatting will be really crappy, it would be extremely helpful to post the step 2 output to the list.

Lastly, what happens if you do a forced entry regression, i.e., ‘enter x/enter xsq’?

 

Gene Maguin

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Roberts, Alan C.
Sent: Thursday, March 26, 2015 8:35 PM
To: [hidden email]
Subject: hierarchical regression output

 

I am attempting to run a hierarchical regression to examine a quadratic function. I entered the predictor in step 1, clicked next, and then entered the second variable (the predictor squared) in the second step. The problem is the output completely ignores the second step. The model summary only has Model 1. Does anyone have any idea of why this is happening? I have conducted hierarchical regressions before (although not with the quadratic function) and never had this problem before.  

===================== 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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Re: hierarchical regression output

Anthony Babinec

Another thought – The quadratic term is typically very highly correlated

with the linear term. You might need to alter(lower) the Regression TOLERANCE

criterion.

 

Tony Babinec

[hidden email]

 

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Re: hierarchical regression output

Roberts, Alan C.
In reply to this post by Maguin, Eugene

There were no warnings or error messages. If I do a forced entry, the squared variable is listed in the “excluded variables” box (the same as when I do a hierarchical).

 

 

Excluded Variablesa

Model

Beta In

t

Sig.

Partial Correlation

Collinearity Statistics

Tolerance

1

Year_Sq

-153.762b

-1.978

.049

-.147

9.144E-7

a. Dependent Variable: BMI

b. Predictors in the Model: (Constant), Year

 

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

Yearb

.

Enter

a. Dependent Variable: BMI

b. All requested variables entered.

 

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Maguin, Eugene
Sent: Friday, March 27, 2015 9:01 AM
To: [hidden email]
Subject: Re: hierarchical regression output

 

Is it possible that the squared term did not have a significant F-to-enter value? Were there any warnings or error messages? It would be extremely helpful to see the output. Even though the formatting will be really crappy, it would be extremely helpful to post the step 2 output to the list.

Lastly, what happens if you do a forced entry regression, i.e., ‘enter x/enter xsq’?

 

Gene Maguin

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Roberts, Alan C.
Sent: Thursday, March 26, 2015 8:35 PM
To: [hidden email]
Subject: hierarchical regression output

 

I am attempting to run a hierarchical regression to examine a quadratic function. I entered the predictor in step 1, clicked next, and then entered the second variable (the predictor squared) in the second step. The problem is the output completely ignores the second step. The model summary only has Model 1. Does anyone have any idea of why this is happening? I have conducted hierarchical regressions before (although not with the quadratic function) and never had this problem before.  

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

===================== 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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Re: hierarchical regression output

Anthony Babinec

Alan,

It is the tolerance. By default, tolerance is .0001 but your

collinearity statistics reports a smaller value. You need

to set TOL smaller or read up on centering the

linear term before you square it.

 

[/CRITERIA=[DEFAULTS**] [TOLERANCE({0.0001**})]

 

Tony Babinec

[hidden email]

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Roberts, Alan C.
Sent: Friday, March 27, 2015 11:10 AM
To: [hidden email]
Subject: Re: hierarchical regression output

 

There were no warnings or error messages. If I do a forced entry, the squared variable is listed in the “excluded variables” box (the same as when I do a hierarchical).

 

 

Excluded Variablesa

Model

Beta In

t

Sig.

Partial Correlation

Collinearity Statistics

Tolerance

1

Year_Sq

-153.762b

-1.978

.049

-.147

9.144E-7

a. Dependent Variable: BMI

b. Predictors in the Model: (Constant), Year

 

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

Yearb

.

Enter

a. Dependent Variable: BMI

b. All requested variables entered.

 

 

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Maguin, Eugene
Sent: Friday, March 27, 2015 9:01 AM
To: [hidden email]
Subject: Re: hierarchical regression output

 

Is it possible that the squared term did not have a significant F-to-enter value? Were there any warnings or error messages? It would be extremely helpful to see the output. Even though the formatting will be really crappy, it would be extremely helpful to post the step 2 output to the list.

Lastly, what happens if you do a forced entry regression, i.e., ‘enter x/enter xsq’?

 

Gene Maguin

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Roberts, Alan C.
Sent: Thursday, March 26, 2015 8:35 PM
To: [hidden email]
Subject: hierarchical regression output

 

I am attempting to run a hierarchical regression to examine a quadratic function. I entered the predictor in step 1, clicked next, and then entered the second variable (the predictor squared) in the second step. The problem is the output completely ignores the second step. The model summary only has Model 1. Does anyone have any idea of why this is happening? I have conducted hierarchical regressions before (although not with the quadratic function) and never had this problem before.  

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

===================== 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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Re: hierarchical regression output

Roberts, Alan C.

Thank you!

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Anthony Babinec
Sent: Friday, March 27, 2015 1:14 PM
To: [hidden email]
Subject: Re: hierarchical regression output

 

Alan,

It is the tolerance. By default, tolerance is .0001 but your

collinearity statistics reports a smaller value. You need

to set TOL smaller or read up on centering the

linear term before you square it.

 

[/CRITERIA=[DEFAULTS**] [TOLERANCE({0.0001**})]

 

Tony Babinec

[hidden email]

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Roberts, Alan C.
Sent: Friday, March 27, 2015 11:10 AM
To: [hidden email]
Subject: Re: hierarchical regression output

 

There were no warnings or error messages. If I do a forced entry, the squared variable is listed in the “excluded variables” box (the same as when I do a hierarchical).

 

 

Excluded Variablesa

Model

Beta In

t

Sig.

Partial Correlation

Collinearity Statistics

Tolerance

1

Year_Sq

-153.762b

-1.978

.049

-.147

9.144E-7

a. Dependent Variable: BMI

b. Predictors in the Model: (Constant), Year

 

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

Yearb

.

Enter

a. Dependent Variable: BMI

b. All requested variables entered.

 

 

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Maguin, Eugene
Sent: Friday, March 27, 2015 9:01 AM
To: [hidden email]
Subject: Re: hierarchical regression output

 

Is it possible that the squared term did not have a significant F-to-enter value? Were there any warnings or error messages? It would be extremely helpful to see the output. Even though the formatting will be really crappy, it would be extremely helpful to post the step 2 output to the list.

Lastly, what happens if you do a forced entry regression, i.e., ‘enter x/enter xsq’?

 

Gene Maguin

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Roberts, Alan C.
Sent: Thursday, March 26, 2015 8:35 PM
To: [hidden email]
Subject: hierarchical regression output

 

I am attempting to run a hierarchical regression to examine a quadratic function. I entered the predictor in step 1, clicked next, and then entered the second variable (the predictor squared) in the second step. The problem is the output completely ignores the second step. The model summary only has Model 1. Does anyone have any idea of why this is happening? I have conducted hierarchical regressions before (although not with the quadratic function) and never had this problem before.  

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

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

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