Re: [R] multilevel factor model in lmer

2006-10-02 Thread Doran, Harold
Dan:

lmer cannot currently be used for the 2PL. As you note, it is straightforward 
to estimate the 1PL, but the a-parameters present a current challenge. Doug 
mentioned to me the other day he is doing some work on this, so I have copied 
him on this reply.

Harold


-Original Message-
From: [EMAIL PROTECTED] on behalf of Dan Powers
Sent: Sun 10/1/2006 10:15 PM
To: 'R-Help'
Subject: [R] multilevel factor model in lmer
 

Hello --

I am curious if lmer can be used to fit a multilevel factor model such as a
two-parameter item response model. The one parameter model is
straightforward.  A two-factor model requires a set of factor loadings
multiplying a single random effect. For example, a logit model for the ith
subject responding correctly to the jth item (j=1,..,J) is

logit[p(ij)] = a1*item1(i) + ... +  aJ * itemJ(i) + 
 lambda1*item1(i)*u(i) + ... + lambdaJ*itemJ(i)*u(i) 

where the lambdas are factor loadings, with lambda1 fixed to 1.0 and
item1-itemJ are dummy variables for the items.

Thanks,
Dan
 
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Daniel A. Powers, Ph.D.
Department of Sociology
University of Texas at Austin
1 University Station A1700
Austin, TX  78712-0118
phone: 512-232-6335
fax:   512-471-1748
[EMAIL PROTECTED]

__
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Re: [R] multilevel factor model in lmer

2006-10-02 Thread Dimitris Rizopoulos
If you just want to fit the 2PL, without any covariates, then this can 
be currently handled by function ltm() in package ltm.

Best,
Dimitris


Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
 http://www.student.kuleuven.be/~m0390867/dimitris.htm


- Original Message - 
From: Doran, Harold [EMAIL PROTECTED]
To: [EMAIL PROTECTED]; R-Help r-help@stat.math.ethz.ch
Cc: [EMAIL PROTECTED]
Sent: Monday, October 02, 2006 12:22 PM
Subject: Re: [R] multilevel factor model in lmer


 Dan:

 lmer cannot currently be used for the 2PL. As you note, it is 
 straightforward to estimate the 1PL, but the a-parameters present a 
 current challenge. Doug mentioned to me the other day he is doing 
 some work on this, so I have copied him on this reply.

 Harold


 -Original Message-
 From: [EMAIL PROTECTED] on behalf of Dan Powers
 Sent: Sun 10/1/2006 10:15 PM
 To: 'R-Help'
 Subject: [R] multilevel factor model in lmer


 Hello --

 I am curious if lmer can be used to fit a multilevel factor model 
 such as a
 two-parameter item response model. The one parameter model is
 straightforward.  A two-factor model requires a set of factor 
 loadings
 multiplying a single random effect. For example, a logit model for 
 the ith
 subject responding correctly to the jth item (j=1,..,J) is

 logit[p(ij)] = a1*item1(i) + ... +  aJ * itemJ(i) +
 lambda1*item1(i)*u(i) + ... + lambdaJ*itemJ(i)*u(i)

 where the lambdas are factor loadings, with lambda1 fixed to 1.0 and
 item1-itemJ are dummy variables for the items.

 Thanks,
 Dan

 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
 Daniel A. Powers, Ph.D.
 Department of Sociology
 University of Texas at Austin
 1 University Station A1700
 Austin, TX  78712-0118
 phone: 512-232-6335
 fax:   512-471-1748
 [EMAIL PROTECTED]

 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide 
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


 [[alternative HTML version deleted]]

 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide 
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 


Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] multilevel factor model in lmer

2006-10-02 Thread Dan Powers
Harold and Dimitris --
Thanks very much. 
Cheers,
Dan


=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Daniel A. Powers, Ph.D.
Department of Sociology
University of Texas at Austin
1 University Station A1700
Austin, TX  78712-0118
phone: 512-232-6335
fax:   512-471-1748
[EMAIL PROTECTED]

-Original Message-
From: Dimitris Rizopoulos [mailto:[EMAIL PROTECTED] 
Sent: Monday, October 02, 2006 6:05 AM
To: Doran, Harold; [EMAIL PROTECTED]; R-Help
Cc: [EMAIL PROTECTED]
Subject: Re: [R] multilevel factor model in lmer

If you just want to fit the 2PL, without any covariates, then this can 
be currently handled by function ltm() in package ltm.

Best,
Dimitris


Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
 http://www.student.kuleuven.be/~m0390867/dimitris.htm


- Original Message - 
From: Doran, Harold [EMAIL PROTECTED]
To: [EMAIL PROTECTED]; R-Help r-help@stat.math.ethz.ch
Cc: [EMAIL PROTECTED]
Sent: Monday, October 02, 2006 12:22 PM
Subject: Re: [R] multilevel factor model in lmer


 Dan:

 lmer cannot currently be used for the 2PL. As you note, it is 
 straightforward to estimate the 1PL, but the a-parameters present a 
 current challenge. Doug mentioned to me the other day he is doing 
 some work on this, so I have copied him on this reply.

 Harold


 -Original Message-
 From: [EMAIL PROTECTED] on behalf of Dan Powers
 Sent: Sun 10/1/2006 10:15 PM
 To: 'R-Help'
 Subject: [R] multilevel factor model in lmer


 Hello --

 I am curious if lmer can be used to fit a multilevel factor model 
 such as a
 two-parameter item response model. The one parameter model is
 straightforward.  A two-factor model requires a set of factor 
 loadings
 multiplying a single random effect. For example, a logit model for 
 the ith
 subject responding correctly to the jth item (j=1,..,J) is

 logit[p(ij)] = a1*item1(i) + ... +  aJ * itemJ(i) +
 lambda1*item1(i)*u(i) + ... + lambdaJ*itemJ(i)*u(i)

 where the lambdas are factor loadings, with lambda1 fixed to 1.0 and
 item1-itemJ are dummy variables for the items.

 Thanks,
 Dan

 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
 Daniel A. Powers, Ph.D.
 Department of Sociology
 University of Texas at Austin
 1 University Station A1700
 Austin, TX  78712-0118
 phone: 512-232-6335
 fax:   512-471-1748
 [EMAIL PROTECTED]

 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide 
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


 [[alternative HTML version deleted]]

 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide 
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 


Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] multilevel factor model in lmer

2006-10-01 Thread Dan Powers

Hello --

I am curious if lmer can be used to fit a multilevel factor model such as a
two-parameter item response model. The one parameter model is
straightforward.  A two-factor model requires a set of factor loadings
multiplying a single random effect. For example, a logit model for the ith
subject responding correctly to the jth item (j=1,..,J) is

logit[p(ij)] = a1*item1(i) + ... +  aJ * itemJ(i) + 
 lambda1*item1(i)*u(i) + ... + lambdaJ*itemJ(i)*u(i) 

where the lambdas are factor loadings, with lambda1 fixed to 1.0 and
item1-itemJ are dummy variables for the items.

Thanks,
Dan
 
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Daniel A. Powers, Ph.D.
Department of Sociology
University of Texas at Austin
1 University Station A1700
Austin, TX  78712-0118
phone: 512-232-6335
fax:   512-471-1748
[EMAIL PROTECTED]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.