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Daniel Murphy; Sarah Quesen; Matthew Brunetti; Quintin Love – Educational Measurement: Issues and Practice, 2024
Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…
Descriptors: Classification, Growth Models, Accuracy, Performance Based Assessment
Wind, Stefanie A. – Educational Measurement: Issues and Practice, 2020
Researchers have documented the impact of rater effects, or raters' tendencies to give different ratings than would be expected given examinee achievement levels, in performance assessments. However, the degree to which rater effects influence person fit, or the reasonableness of test-takers' achievement estimates given their response patterns,…
Descriptors: Performance Based Assessment, Evaluators, Achievement, Influences
Lewis, Daniel; Cook, Robert – Educational Measurement: Issues and Practice, 2020
In this paper we assert that the practice of principled assessment design renders traditional standard-setting methodology redundant at best and contradictory at worst. We describe the rationale for, and methodological details of, Embedded Standard Setting (ESS; previously, Engineered Cut Scores. Lewis, 2016), an approach to establish performance…
Descriptors: Standard Setting, Evaluation, Cutting Scores, Performance Based Assessment
Wind, Stefanie A.; Walker, A. Adrienne – Educational Measurement: Issues and Practice, 2021
Many large-scale performance assessments include score resolution procedures for resolving discrepancies in rater judgments. The goal of score resolution is conceptually similar to person fit analyses: To identify students for whom observed scores may not accurately reflect their achievement. Previously, researchers have observed that…
Descriptors: Goodness of Fit, Performance Based Assessment, Evaluators, Decision Making
Rubright, Jonathan D. – Educational Measurement: Issues and Practice, 2018
Performance assessments, scenario-based tasks, and other groups of items carry a risk of violating the local item independence assumption made by unidimensional item response theory (IRT) models. Previous studies have identified negative impacts of ignoring such violations, most notably inflated reliability estimates. Still, the influence of this…
Descriptors: Performance Based Assessment, Item Response Theory, Models, Test Reliability
Wind, Stefanie A.; Schumacker, Randall E. – Educational Measurement: Issues and Practice, 2017
The term measurement disturbance has been used to describe systematic conditions that affect a measurement process, resulting in a compromised interpretation of person or item estimates. Measurement disturbances have been discussed in relation to systematic response patterns associated with items and persons, such as start-up, plodding, boredom,…
Descriptors: Measurement, Testing Problems, Writing Tests, Performance Based Assessment
Evans, Carla M.; Lyons, Susan – Educational Measurement: Issues and Practice, 2017
The purpose of this study was to test methods that strengthen the comparability claims about annual determinations of student proficiency in English language arts, math, and science (Grades 3-12) in the New Hampshire Performance Assessment of Competency Education (NH PACE) pilot project. First, we examined the literature in order to define…
Descriptors: Academic Achievement, Language Arts, Mathematics Achievement, Science Achievement
Wolf, Mikyung Kim; Faulkner-Bond, Molly – Educational Measurement: Issues and Practice, 2016
States use standards-based English language proficiency (ELP) assessments to inform relatively high-stakes decisions for English learner (EL) students. Results from these assessments are one of the primary criteria used to determine EL students' level of ELP and readiness for reclassification. The results are also used to evaluate the…
Descriptors: High Stakes Tests, Language Proficiency, Hierarchical Linear Modeling, Scores