Mixed model question

classic Classic list List threaded Threaded
3 messages Options
Reply | Threaded
Open this post in threaded view
|

Mixed model question

Baglioni, Tony

I am hoping someone can provide a decisive answer to a  question. I am preparing to do a multi-level analysis where workers are nested within teams and some workers are on multiple teams.  My question is what is the best way to deal with this?  I have thought of two options and perhaps there are more.  First, I thought I would just eliminate those few workers (10 out of about 400 workers).  Second, I thought I could replicate the individual level data but have separate team level data.  This sounds good but the specter of non-independent data at the individual level is haunting me.  Any ideas.

 

TIA.

Tony

 

 

A J Baglioni jr

McIntire School of Commerce

University of Virginia

Rouss & Robertson Halls, East Lawn

P.O. Box 400173

Charlottesville, Va  22904-4173

434.924.4961

 

Reply | Threaded
Open this post in threaded view
|

Re: Mixed model question

peter link
Tony -
 
You should look into multiple-membership models.
 
Also, you may want to check out the Multilevel Listserv at
 
 
Someone there might be able to provide better advice/assistance.
 
Peter Link
VA San Diego Healthcare System
-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]]On Behalf Of Baglioni, Tony
Sent: Monday, October 05, 2009 8:53 AM
To: [hidden email]
Subject: [SPSSX-L] Mixed model question

I am hoping someone can provide a decisive answer to a  question. I am preparing to do a multi-level analysis where workers are nested within teams and some workers are on multiple teams.  My question is what is the best way to deal with this?  I have thought of two options and perhaps there are more.  First, I thought I would just eliminate those few workers (10 out of about 400 workers).  Second, I thought I could replicate the individual level data but have separate team level data.  This sounds good but the specter of non-independent data at the individual level is haunting me.  Any ideas.

 

TIA.

Tony

 

 

A J Baglioni jr

McIntire School of Commerce

University of Virginia

Rouss & Robertson Halls, East Lawn

P.O. Box 400173

Charlottesville, Va  22904-4173

434.924.4961

 

Reply | Threaded
Open this post in threaded view
|

Re: Mixed model question

J P-6
Tony,
 
I believe what you have is also termed a "cross-classified" model. Never done one myself. Mention is made in this book chapter 8: http://www.routledge.com/books/Multilevel-and-Longitudinal-Modeling-with-PASW--SPSS-isbn9781848728639
 
Best,
John


From: Peter Link <[hidden email]>
To: [hidden email]
Sent: Monday, October 5, 2009 12:40:40 PM
Subject: Re: Mixed model question

Tony -
 
You should look into multiple-membership models.
 
Also, you may want to check out the Multilevel Listserv at
 
 
Someone there might be able to provide better advice/assistance.
 
Peter Link
VA San Diego Healthcare System
-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]]On Behalf Of Baglioni, Tony
Sent: Monday, October 05, 2009 8:53 AM
To: [hidden email]
Subject: [SPSSX-L] Mixed model question

I am hoping someone can provide a decisive answer to a  question. I am preparing to do a multi-level analysis where workers are nested within teams and some workers are on multiple teams.  My question is what is the best way to deal with this?  I have thought of two options and perhaps there are more.  First, I thought I would just eliminate those few workers (10 out of about 400 workers).  Second, I thought I could replicate the individual level data but have separate team level data.  This sounds good but the specter of non-independent data at the individual level is haunting me.  Any ideas.

 

TIA.

Tony

 

 

A J Baglioni jr

McIntire School of Commerce

University of Virginia

Rouss & Robertson Halls, East Lawn

P.O. Box 400173

Charlottesville, Va  22904-4173

434.924.4961

 


__________________________________________________
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail.yahoo.com