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Ludlow, Larry H.; O'Keefe, Theresa; Braun, Henry; Anghel, Ella; Szendey, Olivia; Matz, Christina; Howell, Burton – Practical Assessment, Research & Evaluation, 2022
Development of purpose is an important goal of post-secondary education. This study advances the measurement of purpose by (a) enriching the construct through incorporating the facet of horizon; (b) providing a framework for Rasch/Guttman Scenario score interpretation; and (c) providing evidence of convergent, divergent, and known groups validity.
Descriptors: Higher Education, Role of Education, Measurement, Item Response Theory
A. Corinne Huggins-Manley; Jing Huang; Jerri-ann Danso; Wei Li; Walter L. Leite – Journal of Experimental Education, 2024
The global COVID-19 health pandemic caused major interruptions to educational assessment systems, partially due to shifts to remote learning environments, entering the post-COVID educational world into one that is more open to heterogeneity in instructional and assessment modes for secondary students. In addition, in 2020, educational inequities…
Descriptors: Student Evaluation, Educational Environment, Educational Change, COVID-19
A. Corinne Huggins-Manley; Jing Huang; Jerri-ann Danso; Wei Li; Walter L. Leite – Grantee Submission, 2023
The global COVID-19 health pandemic caused major interruptions to educational assessment systems, partially due to shifts to remote learning environments, entering the post-COVID educational world into one that is more open to heterogeneity in instructional and assessment modes for secondary students. In addition, in 2020, educational inequities…
Descriptors: Student Evaluation, Educational Environment, Educational Change, COVID-19
Ames, Allison; Myers, Aaron – Educational Measurement: Issues and Practice, 2019
Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…
Descriptors: Bayesian Statistics, Psychometrics, Models, Predictive Measurement