THE ASSIGNMENT OF NUMBERS TO RANK ORDER CATEGORIES.
By both random and nonrandom assignments of numbers to rank orders (which are consistent with the monotonic nature of the categories), it is shown that ordinal variables can be treated as if they conform to interval scales. The scoring systems, of which 18 were randomly generated by a computer, resu...
| Publicado en: | American Sociological Review Vol. 35; no. 3; pp. 515 - 525 |
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| Formato: | Artículo |
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Sage Publications Inc.
Jun70
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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=14855406&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 14855406 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031224 ASC jtl: American Sociological Review issn: 00031224 maglogo: Y pubinfo: dt: Jun70 vid: 35 iid: 3 pid: 344 pub: Sage Publications Inc. artinfo: ui: 14855406 10.2307/2092993 ppf: 515 ppct: 10 formats: tig: atl: THE ASSIGNMENT OF NUMBERS TO RANK ORDER CATEGORIES. aug: au: Labovitz, Sanford affil: University of Southern California su: Regression analysis Statistical correlation Variances Analysis of covariance Statistical sampling Least squares sug: subj: Regression analysis Statistical correlation Variances Analysis of covariance Statistical sampling Least squares ab: By both random and nonrandom assignments of numbers to rank orders (which are consistent with the monotonic nature of the categories), it is shown that ordinal variables can be treated as if they conform to interval scales. The scoring systems, of which 18 were randomly generated by a computer, resulted in negligible error when comparing any assigned scoring system with any selected "true" scoring system. Errors are determined by the Pearsonian correlation coefficient (r) and r². The advantages of treating ordinal variables as interval are demonstrated with regard to the relation between occupational prestige and suicide. These advantages include: (1) the use of more powerful, sensitive, better developed and interpretable statistics with known sampling error, (2) the retention of more knowledge about the characteristics of the data, and (3) greater versatility in statistical manipulation (e.g., partial and multiple correlation and regression, analysis of variance and covariance, and most pictorial presentations). The computer approach to this problem does not exhaust all possibilities for assigning numbers, which partially limits the generality of the findings. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1970 holdings: @attributes: islocal: N |
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