REPLY TO DAVIS.
The article presents a reply in response to a comment on an article that discusses about group variables. According to the author most sensitive analysts have found it difficult to cope with the multiplicity of group properties. The author thanks professor Alan B. Wilson, of the University of Califo...
| Publicado en: | American Sociological Review Vol. 28; no. 5; p. 814 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Oct63
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=12785735&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 12785735 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031224 ASC jtl: American Sociological Review issn: 00031224 maglogo: Y pubinfo: dt: Oct63 vid: 28 iid: 5 pid: 344 pub: Sage Publications Inc. artinfo: ui: 12785735 ppf: 814 ppct: 0 formats: tig: atl: REPLY TO DAVIS. aug: au: Selvin, Hanan C. Hagstrom, WarrenO. affil: University of California (Berkeley) University of Wisconsin su: Mathematical variables Matrices (Mathematics) Analysis of variance Statistical correlation Factor analysis Computer software sug: subj: Mathematical variables Matrices (Mathematics) Analysis of variance Statistical correlation Factor analysis Computer software ab: The article presents a reply in response to a comment on an article that discusses about group variables. According to the author most sensitive analysts have found it difficult to cope with the multiplicity of group properties. The author thanks professor Alan B. Wilson, of the University of California, Berkeley, for drawing attention to a problem in the approach when the number of groups is smaller than the number of variables. Although factor analysis (the determination of the relations between the items and the factors) can proceed in a straightforward manner when this is the case, the computation of factor scores for each group cannot. The exact computation of factor scores involves the inversion of the matrix of correlations between the variables; this cannot be done when the number of variables is smaller than the number of groups, because such a matrix is necessarily "singular" some correlations can be expressed as linear combinations of the other correlations. Now that computer programs for obtaining factor scores are available, it will be essential to have fewer variables than groups. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1963 holdings: @attributes: islocal: N |
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