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From |
"stefan.duke@gmail.com" <stefan.duke@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Factor Analysis with ordinal and binary variables |

Date |
Wed, 3 Jun 2009 12:12:14 +0200 |

Hi ya'll, thanks for you advice, so I know now where to look. Currently, I don't have a particular problem. I was just curious where to look and how to proceed when encountering such a mix of variables. Best, Stefan On Tue, Jun 2, 2009 at 10:04 PM, Robert A Yaffee <bob.yaffee@nyu.edu> wrote: > On this issue, the polyserial and polychoric correlations > can be used for binary and ordinal variables, respectively, > as input to a factor analysis, according to Joreskog and > Sorbom, who did the research back in the 1980s. > Bengt Muthen has also studied this matter. > Both teams have incorporated their findings into their > structural equation modeling packages. > - Bob > > > Robert A. Yaffee, Ph.D. > Research Professor > Silver School of Social Work > New York University > > NSF grant: > http://www.colorado.edu/ibs/es/nuclear_disaster_risk/principal_investigators.html > Biosketch: http://homepages.nyu.edu/~ray1/Biosketch2009.pdf > > CV: http://homepages.nyu.edu/~ray1/vita.pdf > > ----- Original Message ----- > From: Robert A Yaffee <bob.yaffee@nyu.edu> > Date: Tuesday, June 2, 2009 3:34 pm > Subject: Re: st: Factor Analysis with ordinal and binary variables > To: statalist@hsphsun2.harvard.edu > > >> Stefan, >> Karl Joreskog and Dag Sorbom >> analyzed the problem back in the 1980s and found >> that you could use polyserial and polychoric correlations >> for a factor analysis of dichotomous or ordinal variables. >> If the ordinal variables have at least 15 levels they can >> be treated as continuous. >> They have incorporated this finding in their program for >> structural equation modeling. >> Regards, >> Bob Yaffee >> >> Bengt Muthen may have also written >> on this subject in the 1980s or early 1990s. >> >> >> Robert A. Yaffee, Ph.D. >> Research Professor >> Silver School of Social Work >> New York University >> >> NSF grant: >> http://www.colorado.edu/ibs/es/nuclear_disaster_risk/principal_investigators.html >> Biosketch: http://homepages.nyu.edu/~ray1/Biosketch2009.pdf >> >> CV: http://homepages.nyu.edu/~ray1/vita.pdf >> >> ----- Original Message ----- >> From: "stefan.duke@gmail.com" <stefan.duke@gmail.com> >> Date: Tuesday, June 2, 2009 7:51 am >> Subject: st: Factor Analysis with ordinal and binary variables >> To: statalist@hsphsun2.harvard.edu >> >> >> > Hello, >> > >> > I have question concerning factor analysis on variables with different >> > measurement levels. >> > >> > The questionnaire consists of binary and ordinal variables. If I would >> > have just binary variables, I would use the tetrachoric correlation >> > coefficients. For the ordinal I assume approx. normality and then use >> > the ordinary factor analysis capability. >> > >> > But what do I do when I have both variables? Is it an option to >> > construct the variance-covariance matrix by hand? And what do I take >> > for the correlation between binary and ordinal? >> > >> > Maybe is there a model class which takes care of that, that yields >> > similar outcomes as factor analysis but can deal with such kind of >> > data (e.g. correspondence analysis). >> > >> > I am grateful for every hint. >> > >> > Best, >> > Stefan >> > * >> > * For searches and help try: >> > * http://www.stata.com/help.cgi?search >> > * http://www.stata.com/support/statalist/faq >> > * http://www.ats.ucla.edu/stat/stata/ >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/statalist/faq >> * http://www.ats.ucla.edu/stat/stata/ > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Factor Analysis with ordinal and binary variables***From:*Stas Kolenikov <skolenik@gmail.com>

**References**:**st: Factor Analysis with ordinal and binary variables***From:*"stefan.duke@gmail.com" <stefan.duke@gmail.com>

**Re: st: Factor Analysis with ordinal and binary variables***From:*Robert A Yaffee <bob.yaffee@nyu.edu>

**Re: st: Factor Analysis with ordinal and binary variables***From:*Robert A Yaffee <bob.yaffee@nyu.edu>

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