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Model-Based Reliability to Check for Disparities in Ratings of Internal and External Applicants
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SYSNO ASEP 0493164 Druh ASEP A - Abstrakt Zařazení RIV O - Ostatní Název Model-Based Reliability to Check for Disparities in Ratings of Internal and External Applicants Tvůrce(i) Martinková, Patrícia (UIVT-O) SAI, RID, ORCID
Goldhaber, D. (US)
Erosheva, E. (US)Zdroj.dok. Abstractband. VIII. European Congress on Methodology. Abstract Book. - Jena : Institut für Psychologie, Friedrich-Schiller-Universität, 2018
S. 102-102Poč.str. 1 s. Forma vydání Online - E Akce 2018 European Congress on Methodology /8./ Datum konání 25.07.2018 - 27.07.2018 Místo konání Jena Země DE - Německo Typ akce WRD Jazyk dok. eng - angličtina Země vyd. DE - Německo Klíč. slova Generalizability ; Linear Mixed Models ; Reliability ; Variance Decomposition Vědní obor RIV BB - Aplikovaná statistika, operační výzkum Obor OECD Statistics and probability CEP GJ15-15856Y GA ČR - Grantová agentura ČR Institucionální podpora UIVT-O - RVO:67985807 Anotace ZÁKLADNÍ ÚDAJE: Abstractband. VIII. European Congress on Methodology. Abstract Book. Jena: Institut für Psychologie, Friedrich-Schiller-Universität, 2018. s. 102-102. 2018 European Congress on Methodology /8./. 25.07.2018-27.07.2018, Jena. Grant CEP: GA ČR GJ15-15856Y. ABSTRAKT: In this work we address disparities in ratings of internal and external applicants. We develop model-based inter-rater reliability (IRR) estimate to account for various sources of measurement error, their hierarchical structure and the presence of covariates, such as assessed status, that have the potential to moderate IRR. Using dataset of ratings of applicants to teaching positions in Spokane district in Washington, USA, we first test for bias in ratings of applicants external to the district, which is shown to be significant even after including various measures of teacher quality in the model. Moreover, withmodel-based IRR, we show that consistency between raters is significantly lower when rating external applicants. We further address how IRR affects the predictive power of measurement in different scenarios and conclude the work by discussing policy implications and applications of our model-based IRR estimate for teacher hiring practices. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2019
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