Test equating, scaling, and linking. Methods and practices
By A. A. Davier. 2006
117 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/be44716d6012b8ea1daa16c3653f4a260fec7632
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Management Science and Operations Research
In Statistics and Probability
- Ute Harms
- Thilo Kleickmann
- Ingrid Glowinski
- Jörg Großschedl
- Andrew D. Ho
- Seonghoon Kim
- M. J. Kolen
- Stephen Porter
Citations in the corpus
- The Problem With “Proficiency”: Limitations of Statistics and Policy Under No Child Left Behind (2008, background): “Cut-score-invariant alternatives like average gain scores are appealing but require development and dissemination of vertical scales—a unique challenge (Kolen & Brennan, 2004).”
- Preservice Biology Teachers’ Professional Knowledge: Structure and Learning Opportunities (2015, methodology): “To ensure that test results could be compared, a linking between booklets was established (Frey, Hartig, & Rupp, 2009; Kolen & Brennan, 2004); this is called a common-item nonequivalent groups design (Kolen & Brennan, 2004).”
- Robustness to Format Effects of IRT Linking Methods for Mixed-Format Tests (2006, methodology): “The common-item set should be proportionally representative of the total test forms in content and statistical characteristics (Kolen & Brennan, 2004); thus, it should contain both MC and CR items.”
- A Nonparametric Framework for Comparing Trends and Gaps Across Tests (2009, methodology): “I assume for now that test score distributions have been smoothed using one of many possible techniques (Kolen & Brennan, 2004) or ‘‘continuized’’ as by von Davier, Holland, and Thayer’s (2004) kernel method.”