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Factor Analysis is not my strongest area. I have a number of
variables that presumably represent the same latent factor, or at the most two factors. I could deal with everything if all of the measured variables were interval measures, but I have some intervals and some dichotomies. How might I go about doing some type of factor analysis on data of these types, and how might I go about creating a set of factor scores? Can spss do this type of thing, or would I need something like M-Plus? Thanks Jeff |
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Dichotomous variables can be regartded as interval variables, and
thus be included in classical factor analysis with SPSS FACTOR command. You can also use CATCPA, the SPSS categorical factor analysis (which can be used for categorical or continuous variables), available in the CATEGORIES module. Both produce factor scores as a by product with the SAVE subcommand. Hector -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Jeff Sent: 11 July 2007 00:56 To: [hidden email] Subject: Factor Analysis Question Factor Analysis is not my strongest area. I have a number of variables that presumably represent the same latent factor, or at the most two factors. I could deal with everything if all of the measured variables were interval measures, but I have some intervals and some dichotomies. How might I go about doing some type of factor analysis on data of these types, and how might I go about creating a set of factor scores? Can spss do this type of thing, or would I need something like M-Plus? Thanks Jeff B |
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At 11:24 PM 7/10/2007, you wrote:
>Dichotomous variables can be regartded as interval variables, and >thus be included in classical factor analysis with SPSS FACTOR command. You >can also use CATCPA, the SPSS categorical factor analysis (which can be used >for categorical or continuous variables), available in the CATEGORIES >module. Both produce factor scores as a by product with the SAVE subcommand. > > Hector So what then is the difference between CATCPA and the regular factor analysis? Thanks Jeff |
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With only interval and dichotomous variables there is no difference between the results of CATPCA and standard PCA. But CATPCA offers more output options: fit measure (VAF) per variable, biplots, plot of cases labeled with analysis or background variables. And with CATPCA background variables can be included to examine its relationship with the component structure for the analysis variables.
Anita van der Kooij Data Theory Group Leiden University ________________________________ From: SPSSX(r) Discussion on behalf of Jeff Sent: Wed 11/07/2007 10:13 To: [hidden email] Subject: Re: Factor Analysis Question At 11:24 PM 7/10/2007, you wrote: >Dichotomous variables can be regartded as interval variables, and >thus be included in classical factor analysis with SPSS FACTOR command. You >can also use CATCPA, the SPSS categorical factor analysis (which can be used >for categorical or continuous variables), available in the CATEGORIES >module. Both produce factor scores as a by product with the SAVE subcommand. > > Hector So what then is the difference between CATCPA and the regular factor analysis? Thanks Jeff ********************************************************************** This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the system manager. ********************************************************************** |
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Jeff,
In addition to Anita's response: CATCPA also deals with categorical (nominal or ordinal) variables. In that case it not only produces the usual factor analysis results but also assigns quantitative values to each category. Hector -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Kooij, A.J. van der Sent: 11 July 2007 09:46 To: [hidden email] Subject: Re: Factor Analysis Question With only interval and dichotomous variables there is no difference between the results of CATPCA and standard PCA. But CATPCA offers more output options: fit measure (VAF) per variable, biplots, plot of cases labeled with analysis or background variables. And with CATPCA background variables can be included to examine its relationship with the component structure for the analysis variables. Anita van der Kooij Data Theory Group Leiden University ________________________________ From: SPSSX(r) Discussion on behalf of Jeff Sent: Wed 11/07/2007 10:13 To: [hidden email] Subject: Re: Factor Analysis Question At 11:24 PM 7/10/2007, you wrote: >Dichotomous variables can be regartded as interval variables, and >thus be included in classical factor analysis with SPSS FACTOR command. You >can also use CATCPA, the SPSS categorical factor analysis (which can be used >for categorical or continuous variables), available in the CATEGORIES >module. Both produce factor scores as a by product with the SAVE subcommand. > > Hector So what then is the difference between CATCPA and the regular factor analysis? Thanks Jeff ********************************************************************** This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the system manager. ********************************************************************** |
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