12 References

American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association.
Camilli, G., & Shepard, L. A. (1994). Method for Identifying Biased Test Items (4th ed.). Sage.
Centers for Disease Control and Prevention. (2020a). Considerations for school closure. https://www.cdc.gov/coronavirus/2019-ncov/downloads/considerations-for-school-closure.pdf
Centers for Disease Control and Prevention. (2020b). Interim guidance for administrators of US K–12 schools and childcare programs. https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/guidance-for-schools.html
Clark, A., Beitling, B., Bell, B., & Karvonen, M. (2016). Results from external review during the 2015–2016 academic year (Technical Report No. 16-05). University of Kansas, Center for Educational Testing; Evaluation.
Clark, A., Karvonen, M., & Wells-Moreaux, S. (2016). Summary of results from the 2014 and 2015 field test administrations of the Dynamic Learning Maps Alternate Assessment System (Technical Report No. 15-04). University of Kansas, Center for Educational Testing and Evaluation.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
Davidson, A. (2020). Science alignment follow-up study. EdMetric, LLC.
Dynamic Learning Maps Consortium. (2017). 2015–2016 Technical Manual—Science. University of Kansas, Center for Educational Testing and Evaluation.
Dynamic Learning Maps Consortium. (2018a). 2016–2017 Technical Manual Update—Science. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Dynamic Learning Maps Consortium. (2018b). 2017–2018 Technical Manual Update—Science. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Dynamic Learning Maps Consortium. (2019a). 2018–2019 Technical Manual Update—Science. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Dynamic Learning Maps Consortium. (2019b). Educator Portal User Guide. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Dynamic Learning Maps Consortium. (2019c). Test Administration Manual 2019–2020. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Dynamic Learning Maps Consortium. (2020a). 2019–2020 Technical Manual Update—Instructionally Embedded Model. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Dynamic Learning Maps Consortium. (2020b). 2019–2020 Technical Manual Update—Year-End Model. University of Kansas, Center for Accessible Teaching, Learning, and Assessment Systems.
Elementary and Secondary Education Act of 1965, Pub. L. No. 89–10, 79 Stat. 27 (1965). https://www.govinfo.gov/content/pkg/STATUTE-79/pdf/STATUTE-79-Pg27.pdf
Every Student Succeeds Act, 20 U.S.C § 6301 (2015). https://www.congress.gov/114/plaws/publ95/PLAW-114publ95.pdf
Gelman, A., & Hill, J. (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.
Gelman, A., Meng, X., & Stern, H. (1996). Posterior predictive assessment of model fitness via realized discrepancies. Statistica Sinica, 6, 733–807.
Jodoin, M. G., & Gierl, M. J. (2001). Evaluating Type I error and power raters using an effect size measure with logistic regression procedure for DIF detection. Applied Measurement in Education, 14, 329–349.
Karvonen, M., Burnes, J. J., Clark, A. K., & Kavitsky, L. (2020). Aligned academic achievement standards to support pursuit of postsecondary opportunities: Instructionally embedded model (Technical Report No. 20-02). University of Kansas, Accessible Teaching, Learning, and Assessment Systems.
National Research Council. (2012). A Framework for K-12 science education: Practice, crosscutting concepts, and core ideas. The National Academies Press.
Nemeth, Y., & Purl, K. (2017). Dynamic learning maps science alternate assessment – alignment study (Report No. 009). Alexandria, VA: Human Resources Research Organization (HumRRO).
NGSS Lead States. (2013). Next Generation Science Standards: For States, by States. The National Academies Press.
Recommended Waiver Authority Under Section 3511(d)(4) of Division A of the Coronavirus Aid, Relief, and Economic Security Act (“CARES ACT”). (2020). https://www2.ed.gov/documents/coronavirus/cares-waiver-report.pdf
Swaminathan, H., & Rogers, H. J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27(4), 361–370.
Thompson, W. J. (2019). Bayesian psychometrics for diagnostic assessments: A proof of concept (Research Report No. 19-01). University of Kansas, Accessible Teaching, Learning, and Assessment Systems. https://doi.org/10.35542/osf.io/jzqs8
Vehtari, A., Gelman, A., & Gabry, J. (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27, 1413–1432. https://doi.org/10.1007/s11222-016-9696-4
Zumbo, B. D., & Thomas, D. R. (1997). A measure of effect size for a model-based approach for studying DIF [Working Paper]. University of Northern British Columbia, Edgeworth Laboratory for Quantitative Behavioral Science.