Test Equating, Scaling, and Linking: Methods and Practices

By Thomas R. Boucher. 2007

610 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/db2fa41eb9f6a92a30ae7f2d993f7489f69dc81c

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Citations in the corpus

Contrasting OLS and Quantile Regression Approaches to Student “Growth” Percentiles (2013, neutral): “Multivariate normality is a convenient choice for modeling joint distributions of consecutive grade-level test scores, as test scales are often chosen so that each grade-level score distribution is roughly normal (Kolen & Brennan, 2004).”
A Comparison of the Frequency Estimation and Chained Equipercentile Methods Under the Common-Item Nonequivalent Groups Design (2008, methodology): “…standard errors of equating, equating bias, item response theory In test equating, there are three commonly used data collection designs: the single-group design with or without counterbalancing, the random groups design, and the common-item nonequivalent groups design (Kolen & Brennan, 2004).”
Investigation of IRT-Based Equating Methods in the Presence of Outlier Common Items (2008, methodology): “The sample size for each subtest form was controlled at 2,000, which is large enough to produce stable parameter estimates (e.g., Kolen & Brennan, 2004; Zeng, 1991).”
A closer look at the construct validity of C-tests (2006, methodology): “That is, C-test texts were to function as external common items in common-item equating to a Rasch-calibrated item pool (Kolen and Brennan, 2004).”
Measure for Measure: what Combining Diverse Measures Reveals About Children's Understanding of the Equal Sign as an Indicator of Mathematical Equality (2012, methodology): “Because equivalent groups took the two forms of the assessment, we were able to use a single IRT model to estimate item difficulty and respondent ability across the forms (Kolen & Brennan, 2004).”
Integrative Data Analysis: The Simultaneous Analysis of Multiple Data Sets (2009, methodology): “These shared items form a set of "anchor" items that can be of great use in later stages of measurement development (Kolen & Brennan, 2004).”