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Article #1042factoring dichotomous data
From: FOLGER
Date: Tue, 06 Jul 1993 23:53
Date: Tue, 06 Jul 1993 23:53
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1418 bytes
Boolean factor analysis certainly presents an interesting alternative for those occasions when we have nothing in the data set but dichotomies. In my experience, however, such cases are rare. It is far more common for me to have a few or many dichotomous variables mixed in with continuous data. My current data set includes dichotomous, interval, and ratio measures. Please do send on the details, however. I'm always looking to expand the toolbox. Davis Snailmail..........................Davis A. Foulger Internet: FOLGER@WATSON.IBM.COM IBM T.J. Watson Research Center Prodigy: XFRR20A P O Box 218, Yorktown Ht, NY 10598
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: f5efb,496230d8570d379d X-Google-Attributes: gidf5efb,public X-Google-ArrivalTime: 1993-07-07 00:45:26 PST Path: arc1-ca.pugleaf.net!gmd.de!newsserver.jvnc.net!howland.reston.ans.net!paladin.american.edu!auvm!WATSON.BITNET!FOLGER Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU Newsgroups: bit.listserv.stat-l Return-Path: <@AUVM.AMERICAN.EDU,@VTBIT.BITNET:owner-stat-l@VM1.MCGILL.CA> Return-Path: <Folger@OLIVAW.watson.ibm.com> X-External-Networks: yes Message-ID: <9307062256.AA4377@OLIVAW.watson.ibm.com> Date: Tue, 6 Jul 1993 18:53:15 EST Reply-To: Folger@WATSON.IBM.COM Sender: Stat-l Discussion List <STAT-L@MCGILL1.BITNET> From: FOLGER@WATSON.BITNET Subject: factoring dichotomous data Lines: 12