ANALYZING CODING RELIABILITY: THE RANDOM-SPECIFIC-ERROR COEFFICIENT.
The article presents information on coding reliability. This paper describes a procedure that may help increase the reliability of a coding operation. By using the Random-Systematic-Error coefficient, the survey administrator may be able to determine in cases of low reliability, whether the fault li...
| Publicado en: | Public Opinion Quarterly Vol. 32; no. 1; pp. 122 - 129 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Spring68
|
| Materias: | |
| 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=5416602&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 5416602 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0033362X POQ jtl: Public Opinion Quarterly issn: 0033362X maglogo: N pubinfo: dt: Spring68 vid: 32 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 5416602 10.1086/267585 ppf: 122 ppct: 7 formats: tig: atl: ANALYZING CODING RELIABILITY: THE RANDOM-SPECIFIC-ERROR COEFFICIENT. aug: au: Funkhouser, G. Ray Parker, Edwin B. affil: Research Associate, Communication, Stanford University. Associate Professor of Communication, Stanford University. su: Surveys Coding theory Error Theory of knowledge Concepts Research Personality sug: subj: Surveys Coding theory Error Theory of knowledge Concepts Research Personality ab: The article presents information on coding reliability. This paper describes a procedure that may help increase the reliability of a coding operation. By using the Random-Systematic-Error coefficient, the survey administrator may be able to determine in cases of low reliability, whether the fault lies in the code or in the coders. Coding disagreements may stem from two sources, the code and the coders. If the categories of a code are poorly defined, overlapping, ambiguous, or inexhaustive of all responses, coders may disagree because there is no dearly correct category for some of the responses. On the other hand, because of personality differences or differential training, one coder may assign one subset of responses to one category while a different coder assigns it to another. Disagreements between two coders using the same code on the same set of responses may be analyzed to indicate their source and the corrective measures to be taken. Errors resulting from a defective code seem generally to be scattered about the range of possible disagreements, while errors originating in the coders tend to fall into systematic patterns. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1968 holdings: @attributes: islocal: N |
|---|