Individual Performance: From Common Source Bias to Institutionalized Assessment

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Standard

Individual Performance : From Common Source Bias to Institutionalized Assessment. / Andersen, Lotte Bøgh; Heinesen, Eskil; Pedersen, Lene Holm.

I: Journal of Public Administration Research and Theory, Bind 26, Nr. 1, 01.01.2016, s. 63-78.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Andersen, LB, Heinesen, E & Pedersen, LH 2016, 'Individual Performance: From Common Source Bias to Institutionalized Assessment', Journal of Public Administration Research and Theory, bind 26, nr. 1, s. 63-78. https://doi.org/10.1093/jopart/muv010

APA

Andersen, L. B., Heinesen, E., & Pedersen, L. H. (2016). Individual Performance: From Common Source Bias to Institutionalized Assessment. Journal of Public Administration Research and Theory, 26(1), 63-78. https://doi.org/10.1093/jopart/muv010

Vancouver

Andersen LB, Heinesen E, Pedersen LH. Individual Performance: From Common Source Bias to Institutionalized Assessment. Journal of Public Administration Research and Theory. 2016 jan. 1;26(1):63-78. https://doi.org/10.1093/jopart/muv010

Author

Andersen, Lotte Bøgh ; Heinesen, Eskil ; Pedersen, Lene Holm. / Individual Performance : From Common Source Bias to Institutionalized Assessment. I: Journal of Public Administration Research and Theory. 2016 ; Bind 26, Nr. 1. s. 63-78.

Bibtex

@article{82217a7ad2d642f688ae5a352311c96f,
title = "Individual Performance: From Common Source Bias to Institutionalized Assessment",
abstract = "Performance is perhaps the most central concept in public administration research, and this article discusses theoretically and investigates empirically how we can obtain more consistent performance measures. Theoretically, we combine existing arguments in public administration with institutional theory and the sociology of professions. Empirically, we ask whether different measures of individual performance produce different results. The investigated performance measures vary with regard to risk of common data source bias, standardization of assessment criteria, and external verification of the assessment. Our investigated explanatory variables are intrinsic motivation, public service motivation, and job satisfaction. Combining survey and administrative data for 747 lower secondary school teachers (teaching 5,679 students in 85 schools), we analyze 4 different measures of the same performance dimension for the same teachers: the teachers' self-reported contributions to students' academic skills, the students' marks for the year's work given by the teacher, marks in oral exams with one external examiner and the teacher, and marks in written exams with at least one external examiner. The associations are systematically stronger when the performance measure comes from the same data source as the explanatory variables, but when separate data sources are used and the measurement scale is institutionalized, the level of external verification does not matter much. Based on institutional theory and the sociology of professions, we develop a theoretical argument that can explain this.",
author = "Andersen, {Lotte B{\o}gh} and Eskil Heinesen and Pedersen, {Lene Holm}",
year = "2016",
month = jan,
day = "1",
doi = "10.1093/jopart/muv010",
language = "English",
volume = "26",
pages = "63--78",
journal = "Journal of Public Administration Research and Theory",
issn = "1053-1858",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - Individual Performance

T2 - From Common Source Bias to Institutionalized Assessment

AU - Andersen, Lotte Bøgh

AU - Heinesen, Eskil

AU - Pedersen, Lene Holm

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Performance is perhaps the most central concept in public administration research, and this article discusses theoretically and investigates empirically how we can obtain more consistent performance measures. Theoretically, we combine existing arguments in public administration with institutional theory and the sociology of professions. Empirically, we ask whether different measures of individual performance produce different results. The investigated performance measures vary with regard to risk of common data source bias, standardization of assessment criteria, and external verification of the assessment. Our investigated explanatory variables are intrinsic motivation, public service motivation, and job satisfaction. Combining survey and administrative data for 747 lower secondary school teachers (teaching 5,679 students in 85 schools), we analyze 4 different measures of the same performance dimension for the same teachers: the teachers' self-reported contributions to students' academic skills, the students' marks for the year's work given by the teacher, marks in oral exams with one external examiner and the teacher, and marks in written exams with at least one external examiner. The associations are systematically stronger when the performance measure comes from the same data source as the explanatory variables, but when separate data sources are used and the measurement scale is institutionalized, the level of external verification does not matter much. Based on institutional theory and the sociology of professions, we develop a theoretical argument that can explain this.

AB - Performance is perhaps the most central concept in public administration research, and this article discusses theoretically and investigates empirically how we can obtain more consistent performance measures. Theoretically, we combine existing arguments in public administration with institutional theory and the sociology of professions. Empirically, we ask whether different measures of individual performance produce different results. The investigated performance measures vary with regard to risk of common data source bias, standardization of assessment criteria, and external verification of the assessment. Our investigated explanatory variables are intrinsic motivation, public service motivation, and job satisfaction. Combining survey and administrative data for 747 lower secondary school teachers (teaching 5,679 students in 85 schools), we analyze 4 different measures of the same performance dimension for the same teachers: the teachers' self-reported contributions to students' academic skills, the students' marks for the year's work given by the teacher, marks in oral exams with one external examiner and the teacher, and marks in written exams with at least one external examiner. The associations are systematically stronger when the performance measure comes from the same data source as the explanatory variables, but when separate data sources are used and the measurement scale is institutionalized, the level of external verification does not matter much. Based on institutional theory and the sociology of professions, we develop a theoretical argument that can explain this.

UR - http://www.scopus.com/inward/record.url?scp=84954324060&partnerID=8YFLogxK

U2 - 10.1093/jopart/muv010

DO - 10.1093/jopart/muv010

M3 - Journal article

AN - SCOPUS:84954324060

VL - 26

SP - 63

EP - 78

JO - Journal of Public Administration Research and Theory

JF - Journal of Public Administration Research and Theory

SN - 1053-1858

IS - 1

ER -

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