SAMPLING MASS MEDIA CONTENT: THE USE OF THE CLUSTER DESIGN.
Studies utilizing content analysis have appeared with increasing frequency in literature of the social sciences over the past thirty years. During this period this technique has been employed in a wide variety of sociological researches in such areas of interest as culture and cultural change, race...
| Publicado en: | American Sociological Review Vol. 21; no. 6; pp. 729 - 734 |
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| Formato: | Artículo |
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Sage Publications Inc.
Dec56
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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=12800770&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 12800770 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031224 ASC jtl: American Sociological Review issn: 00031224 maglogo: Y pubinfo: dt: Dec56 vid: 21 iid: 6 pid: 344 pub: Sage Publications Inc. artinfo: ui: 12800770 10.2307/2088425 ppf: 729 ppct: 5 formats: tig: atl: SAMPLING MASS MEDIA CONTENT: THE USE OF THE CLUSTER DESIGN. aug: au: Backman, Carl W. affil: University of Nevada su: Sampling (Process) Mass media Research Social sciences Culture Sociology sug: subj: Sampling (Process) Mass media Research Social sciences Culture Sociology ab: Studies utilizing content analysis have appeared with increasing frequency in literature of the social sciences over the past thirty years. During this period this technique has been employed in a wide variety of sociological researches in such areas of interest as culture and cultural change, race and ethnic relations, the sociology of war and social psychology. It is the purpose of this paper, however, to suggest that a major limitation is frequently encountered when sampling content in this manner, and must be taken into consideration both in deciding whether to use this design in a particular research situation and in the formulation of probability statements about the results. It can be shown from the theory of cluster sampling that where the elements within a duster are positively correlated, the variance of this design will be greater than would be obtained if the elements were selected according to the simple random design. In fact, relatively small positive intraclass correlations will have an appreciable effect on the variance, particularly where the size of the cluster is large. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1956 holdings: @attributes: islocal: N |
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