Výsledky vyhledávání - "Adrienne Sgammato"

Articulation of Cut Scores in the Context of the Next-Generation Assessments

Publikováno v: ETS Research Report Series. 2017:1-17

Logistic regression (LR)-based methods have become increasingly popular for predicting and articulating cut scores. However, the precision of predictive relationships is largely dependent on the underlying correlations between the predictor and the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbd16f78c4e1b99c4488080b6153bc76
https://doi.org/10.1002/ets2.12162

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Evaluating the Operational Feasibility of Using Subsets of Items to Recommend Minimal Competency Cut Scores

Autor: Priya Kannan, Adrienne Sgammato, Richard J. Tannenbaum

Publikováno v: Applied Measurement in Education. 28:292-307

Establishing cut scores using the Angoff method requires panelists to evaluate every item on a test and make a probability judgment. This can be time-consuming when there are large numbers of items on the test. Previous research using resampling stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e081838d4998f49a8104c81dde75118
https://doi.org/10.1080/08957347.2015.1062766

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Evaluating the Consistency of Angoff-Based Cut Scores Using Subsets of Items Within a Generalizability Theory Framework

Autor: Irvin R. Katz, Richard J. Tannenbaum, Priya Kannan, Adrienne Sgammato

Publikováno v: Applied Measurement in Education. 28:169-186

The Angoff method requires experts to view every item on the test and make a probability judgment. This can be time consuming when there are large numbers of items on the test. In this study, a G-theory framework was used to determine if a subset of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e56b9b9ba78529b2d2da31274034ce4
https://doi.org/10.1080/08957347.2015.1042156

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On the Performance of the Marginal Homogeneity Test to Detect Rater Drift

Autor: Adrienne Sgammato, John R. Donoghue

When constructed response items are administered repeatedly, “trend scoring” can be used to test for rater drift. In trend scoring, raters rescore responses from the previous administration. Two simulation studies evaluated the utility of Stuart�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456c37e33caf80a9c46751e054208f66
https://europepmc.org/articles/PMC5978607/

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