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Simulating a Glass Escalator : = In Silico Modeling of Measurement Bias in Teacher Evaluations.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Simulating a Glass Escalator :/
其他題名:	In Silico Modeling of Measurement Bias in Teacher Evaluations.
作者:	Ralph, Michael C.
面頁冊數:	1 online resource (140 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-07, Section: A.
Contained By:	Dissertations Abstracts International84-07A.
標題:	Educational psychology. -
電子資源:	click for full text (PQDT)
ISBN:	9798368479163

Simulating a Glass Escalator : = In Silico Modeling of Measurement Bias in Teacher Evaluations.
Ralph, Michael C.

Simulating a Glass Escalator :In Silico Modeling of Measurement Bias in Teacher Evaluations. - 1 online resource (140 pages)

Source: Dissertations Abstracts International, Volume: 84-07, Section: A.

Thesis (Ph.D.)--University of Kansas, 2022.

Includes bibliographical references

The United States teaching workforce fails to represent the US population across many subgroup categories, including gender. One mechanism by which the overrepresentation of men among principals relative to the percent of men teaching in classrooms may be reproduced is through biased teaching evaluations that confer an inappropriate advantage to men. I ran simulations to test whether biased teacher evaluators would produce measurable effects in commonly used measures of rater reliability for teacher evaluation systems. I then tested whether relatively simple changes to rater designs would increase the detectability of rater bias in measures of reliability. The results show no single measure of reliability, either from Classical Test Theory or a Rasch Rating Scale Model, consistently detected rater bias. Instead, the most consistent indicator of bias in the study was the direct comparison of subgroup results themselves. These findings demonstrate the potential in real data studies for subgroup differences to result from validity threats. Prior to attributing observed differences to the subgroup members being observed, researchers should rule out validity threats as an explanation for those differences.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798368479163Subjects--Topical Terms:

555103
Educational psychology.
Subjects--Index Terms:

GenderIndex Terms--Genre/Form:

554714
Electronic books.

Simulating a Glass Escalator : = In Silico Modeling of Measurement Bias in Teacher Evaluations.
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520 $a The United States teaching workforce fails to represent the US population across many subgroup categories, including gender. One mechanism by which the overrepresentation of men among principals relative to the percent of men teaching in classrooms may be reproduced is through biased teaching evaluations that confer an inappropriate advantage to men. I ran simulations to test whether biased teacher evaluators would produce measurable effects in commonly used measures of rater reliability for teacher evaluation systems. I then tested whether relatively simple changes to rater designs would increase the detectability of rater bias in measures of reliability. The results show no single measure of reliability, either from Classical Test Theory or a Rasch Rating Scale Model, consistently detected rater bias. Instead, the most consistent indicator of bias in the study was the direct comparison of subgroup results themselves. These findings demonstrate the potential in real data studies for subgroup differences to result from validity threats. Prior to attributing observed differences to the subgroup members being observed, researchers should rule out validity threats as an explanation for those differences.
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