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Published in: Educational Assessment, Evaluation and Accountability 1/2022

17-08-2021

An item response theory and Rasch analysis of the NUDKS: a data literacy scale

Authors: Pamela S. Trantham, Jonathon Sikorski, R. J. de Ayala, Beth Doll

Published in: Educational Assessment, Evaluation and Accountability | Issue 1/2022

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Abstract

There is an extensive need for school systems to reliably assess the data literacy and data use skills of their educators. To address this need, the current study seeks to refine the NU Data Knowledge Scale (NUDKS) for assessing teacher data literacy for classroom data. A data-based decision-making framework provides the theoretical underpinnings for the instrument. The study’s objective is to refine the NUDKS such that items are located at various points along the data literacy continuum. In this fashion, the NUDKS should be able to measure teacher data literacy throughout the data literacy continuum. To this end, item response theory is used to provide the estimates of the items’ locations and teacher data literacy. Analyses revealed that the NUDKS conformed to the Rasch model. To facilitate the future use of the NUDKS, concordance tables were created to provide a quick determination of teacher data literacy.

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Appendix
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Metadata
Title
An item response theory and Rasch analysis of the NUDKS: a data literacy scale
Authors
Pamela S. Trantham
Jonathon Sikorski
R. J. de Ayala
Beth Doll
Publication date
17-08-2021
Publisher
Springer Netherlands
Published in
Educational Assessment, Evaluation and Accountability / Issue 1/2022
Print ISSN: 1874-8597
Electronic ISSN: 1874-8600
DOI
https://doi.org/10.1007/s11092-021-09372-w

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