دورية أكاديمية
أعرض في EDS

Equating with Small and Unbalanced Samples

التفاصيل البيبلوغرافية
العنوان: Equating with Small and Unbalanced Samples
اللغة: English
المؤلفون: Goodman, Joshua T., Dallas, Andrew D., Fan, Fen
المصدر: Applied Measurement in Education. 2020 33(1):34-43.
الإتاحة: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 10
تاريخ النشر: 2020
نوع الوثيقة: Journal Articles
Reports - Research
Descriptors: Equated Scores, Sample Size, Sampling, Weighted Scores, Evaluation Methods, Statistical Bias, Error of Measurement, Design, Simulation
DOI: 10.1080/08957347.2019.1674311
تدمد: 0895-7347
مستخلص: Recent research has suggested that re-setting the standard for each administration of a small sample examination, in addition to the high cost, does not adequately maintain similar performance expectations year after year. Small-sample equating methods have shown promise with samples between 20 and 30. For groups that have fewer than 20 students, options are scarcer. This simulation study examined balanced and unbalanced designs across nine equating models including both classic equating models and small-sample models. The study also accounted for varying sample sizes, differences in form difficulty and candidate population, and the size of the anchor set. This study supports the use of nominal weights approaches in combination with either circle-arc or mean equating. Consistent with other research, this study found that the best ways to improve equating results are increases in sample size and/or the number of anchor items across the old and new forms. However, a testing program's tolerance for reuse will influence the decision to pool administrations.
Abstractor: As Provided
Entry Date: 2020
رقم الأكسشن: EJ1244767
قاعدة البيانات: ERIC
الوصف
تدمد:0895-7347
DOI:10.1080/08957347.2019.1674311