1965
DOI: 10.1080/00224545.1965.9922266
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Role-Deviant Respondent Sets and Resulting Bias, their Detection and Control in the Survey Interview

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1967
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Cited by 9 publications
(2 citation statements)
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“…All have clear advantages and disadvantages. Although interviews can provide a lot of helpful qualitative information, they are not typically very brief and may be particularly susceptible to bias (Krause, 1965). Situational measures such as sociometric ratings, which involve having children report on the degree to which they like other students in their class, provide information on how targeted children compare with peers, but may not provide the level of sensitivity needed to determine whether a child is making any progress as a result of an intervention, given that they involve social comparison.…”
Section: Advances In Progress Monitoringmentioning
confidence: 99%
“…All have clear advantages and disadvantages. Although interviews can provide a lot of helpful qualitative information, they are not typically very brief and may be particularly susceptible to bias (Krause, 1965). Situational measures such as sociometric ratings, which involve having children report on the degree to which they like other students in their class, provide information on how targeted children compare with peers, but may not provide the level of sensitivity needed to determine whether a child is making any progress as a result of an intervention, given that they involve social comparison.…”
Section: Advances In Progress Monitoringmentioning
confidence: 99%
“…To prove that one dimension biases or does not bias some or all the measurements for another dimension requires evidence of (individual gradation by individual gradation: see Krause, 2010) causation of bias and not merely of correlation, and this requires a research program of its own, one which includes the development of a definitionally valid (and so itself unbiased) measure for the suspected biasing dimension. Such a research program would far exceed the usual efforts in psychological research for dealing with measurement bias, which—for example—uses unvalidated response-set detector items (e.g., Berg, 1967; Campbell, 1996; Edwards, 1990; Krause, 1965; Nicholson & Hogan, 1990; Walsh, 1990) or uses unvalidated projective tests (e.g., Sundberg, 1977, 201–226).…”
Section: The Valid Measurement Of Measurement-biasing Influencesmentioning
confidence: 99%