A REVIEW AND COMPARISON OF SIMPLE STATISTICAL TESTS FOR SCALOGRAM ANALYSIS.
Three statistical procedures for scalogram analysis are compared and evaluated using sets of real and hypothetical data as well as two distributions of coefficients of reproducibility for 35,000 sets of computer-generated data. The results suggest that Goodman's procedure for computing the standard...
| Publicado en: | American Sociological Review Vol. 34; no. 2; pp. 238 - 246 |
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| Formato: | Artículo |
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Sage Publications Inc.
Apr69
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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=12813328&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 12813328 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031224 ASC jtl: American Sociological Review issn: 00031224 maglogo: Y pubinfo: dt: Apr69 vid: 34 iid: 2 pid: 344 pub: Sage Publications Inc. artinfo: ui: 12813328 10.2307/2092180 ppf: 238 ppct: 8 formats: tig: atl: A REVIEW AND COMPARISON OF SIMPLE STATISTICAL TESTS FOR SCALOGRAM ANALYSIS. aug: au: Chilton, Roland J. affil: Institute for Social Research, Florida State University su: Statistics Guttman scale Computer software World War II Computer simulation Attitude (Psychology) sug: subj: Statistics Guttman scale Computer software World War II Computer simulation Attitude (Psychology) ab: Three statistical procedures for scalogram analysis are compared and evaluated using sets of real and hypothetical data as well as two distributions of coefficients of reproducibility for 35,000 sets of computer-generated data. The results suggest that Goodman's procedure for computing the standard error of Green's Reps is the most important and useful of the currently available techniques. In view of the work of Green, Goodman, Sagi, Schuessler and others in this area, users of widely distributed families of computer programs should expect any scab gram program to compute "chance reproducibility" and an accurate standard error figure for an observed reproducibility. Investigators using scab gram analysis should provide their readers with this information as well as a definition of error responses, the proportion of non-error responses, marginal frequencies, and the number of cases analyzed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1969 holdings: @attributes: islocal: N |
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