A Method for Measuring Error Due to Variance Among Interviewers.

The article describes two statistical techniques for measuring error that result due to variance among interviewers. That is, it illustrates these techniques for measuring interviewer and question objectivity. It is stated that the problem is to compare the variance found within the total population...

Descripción completa

Detalles Bibliográficos
Publicado en:Public Opinion Quarterly Vol. 20; no. 3; pp. 587 - 593
Autores principales: Franzen, Raymond, Williams, Robert
Formato: Artículo
Publicado: Oxford University Press / USA Fall56
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=11943314&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 11943314
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        0033362X
        POQ
      jtl: Public Opinion Quarterly
      issn: 0033362X
      maglogo: N
    pubinfo:
      dt: Fall56
      vid: 20
      iid: 3
      pid: 622
      pub: Oxford University Press / USA
    artinfo:
      ui:
        11943314
        10.1086/266657
      ppf: 587
      ppct: 6
      formats:
      tig:
        atl: A Method for Measuring Error Due to Variance Among Interviewers.
      aug:
        au:
          Franzen, Raymond
          Williams, Robert
        affil:
          Research Director for the Hawaiian Pineapple Company.
          Vice President of Audits and Surveys Company, Inc..
      su:
        Interviewing
        Error analysis in mathematics
        Analysis of variance
        Interviewer characteristics
        Questioning
        Objectivity
        Mathematical statistics
      sug:
        subj:
          Interviewing
          Error analysis in mathematics
          Analysis of variance
          Interviewer characteristics
          Questioning
          Objectivity
          Mathematical statistics
      ab: The article describes two statistical techniques for measuring error that result due to variance among interviewers. That is, it illustrates these techniques for measuring interviewer and question objectivity. It is stated that the problem is to compare the variance found within the total population with that found among the sub-groups. The information gathered by a particular interviewer might be considered as a sub-group. The first method is to measure whether the variance among the averages of the subgroups exists for a given characteristic. It is what one would expect if these sub-groups were chosen at random from the total population. In the second statistical method of measuring interviewer objectivity, it is necessary to set up an analysis of variance table so that the contributions to variance of the subgrouping and of the differences within sub-groups might be compared. But, in practical sense, the second method is prevented because it demands replicated interviewer assignments. So, authors find the first method to be more successful. It is suggested that more data of the nature obtained be assembled in order to build up a library of acceptable and unacceptable questionnaire practices.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 1956
    holdings:
      @attributes:
        islocal: N