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Full-Text Articles in Education
Improving Irt Parameter Estimates With Small Sample Sizes: Evaluating The Efficacy Of A New Data Augmentation Technique, Brett P. Foley
Improving Irt Parameter Estimates With Small Sample Sizes: Evaluating The Efficacy Of A New Data Augmentation Technique, Brett P. Foley
College of Education and Human Sciences: Dissertations, Theses, and Student Research
The 3PL model is a flexible and widely used tool in assessment. However, it suffers from limitations due to its need for large sample sizes. This study introduces and evaluates the efficacy of a new sample size augmentation technique called Duplicate, Erase, and Replace (DupER) Augmentation through a simulation study. Data are augmented using several variations of DupER Augmentation (based on different imputation methodologies, deletion rates, and duplication rates), analyzed in BILOG-MG 3, and results are compared to those obtained from analyzing the raw data. Additional manipulated variables include test length and sample size. Estimates are compared using seven different …
The Future Of Natural Selection Knowledge Measurement: A Reply To Anderson Et Al. (2010), Ross Nehm, Irvin Sam Schonfeld
The Future Of Natural Selection Knowledge Measurement: A Reply To Anderson Et Al. (2010), Ross Nehm, Irvin Sam Schonfeld
Publications and Research
The development of rich, reliable, and robust measures of the composition, structure, and stability of student thinking about core scientific ideas (such as natural selection) remains a complex challenge facing science educators. In their recent article (Nehm & Schonfeld 2008), the authors explored the strengths, weaknesses, and insights provided by a detailed exploration of three commonly used measures of student thinking about natural selection in a large sample of underrepresented minority students. One of their core findings was that all of the tools they studied--including the CINS--have strengths and weaknesses that must be carefully taken into consideration by those …