1992
DOI: 10.1177/001872089203400406
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Selecting Performance Measures: "Objective" versus "Subjective" Measurement

Abstract: The distinction between "objective" and "subjective" measurement is neither meaningful nor useful in human performance studies. All measurement in science and technology is necessarily filled with subjective elements, whether in selecting measures or in collecting, analyzing, or interpreting data. Empirical examples taken from several domains related to human factors show instances in which self-report (subjective) measures may be essential. Amodel process is suggested for selecting performance measures.

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Cited by 117 publications
(74 citation statements)
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“…Conversely, authors such as Landis (2001) and Stewart and Nandkeolyar (2007) consider that such measures show consistency and objectivity. In our view, both objective and subjective measures are useful, and which kind is used will depend on the purpose of the study (Muckler & Seven, 1992). In this regard, we believe that our measures of effectiveness are consistent with our objectives.…”
Section: Limitations and Recommendations For Future Researchsupporting
confidence: 59%
“…Conversely, authors such as Landis (2001) and Stewart and Nandkeolyar (2007) consider that such measures show consistency and objectivity. In our view, both objective and subjective measures are useful, and which kind is used will depend on the purpose of the study (Muckler & Seven, 1992). In this regard, we believe that our measures of effectiveness are consistent with our objectives.…”
Section: Limitations and Recommendations For Future Researchsupporting
confidence: 59%
“…The questions for the survey instrument adopted a statement-based assessment with five-point Likert scale, ranging from strongly agree to strongly disagree. Statement-based assessments must avoid possible measurement bias from the potential inconsistency in responses due to respondents' subjective perceptions [25,[67][68][69].…”
Section: Developing Survey Instrumentsmentioning
confidence: 99%
“…This approach reduces the latent effects of measurement biases, and avoids misleading the meaning of the results representing the industry benchmark because mean value of the responses from multiple team members could represent the average level of implementation of the sustainability practices [67,68]. This approach provides an additional benefit of aligning project team members and stakeholders participating in each project phase.…”
Section: Developing Survey Instrumentsmentioning
confidence: 99%
“…While it can be claimed that everything is subjective to some extent and therefore questionable whether true objectivity is possible (Muckler, 1992), the terms are widely used in social indicators research (e.g. Diener & Suh, 1997;Wish, 1986;Parks, 1984;Kuz,1978), with subjective relating to citizens experiences, perceptions and evaluations of their own 'reality', and objective being the 'official reality' as measured by government agencies.…”
Section: Introductionmentioning
confidence: 99%