NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Confrey, Jere; Jones, R. Seth; Gianopulos, Garron – Measurement: Interdisciplinary Research and Perspectives, 2015
Briggs and Peck make a compelling case for creating new, more intuitive measures of learning, based on creating vertical scales using learning trajectories (LT) in place of "domain sampling." We believe that the importance of creating measurement scales that coordinate recognizable landmarks in learning trajectories with interval scales…
Descriptors: Measurement, Educational Assessment, High Stakes Tests, Scaling
Peer reviewed Peer reviewed
Direct linkDirect link
Kingston, Neal M.; Tiemann, Gail C.; Loughran, Jessica T. – Measurement: Interdisciplinary Research and Perspectives, 2013
The authors of this article comment on "Construct Maps as a Foundation for Standard Setting," by Adam E. Wyse (this issue) in which Wyse presents construct maps, a visual display of a variety of sources of evidence that support standard-setting decisions, and shows how this approach could be used with a variety of existing…
Descriptors: Standard Setting (Scoring), Maps, Methods, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
Dorans, Neil J. – Measurement: Interdisciplinary Research and Perspectives, 2010
Kane, Mroch, Suh, and Ripkey (2009) describe what they call five linear equating methods for the nonequivalent groups with anchor test (NEAT) design. The authors embed these methods within a two-dimensional framework. The first dimension contrasts what the authors call a parameter substitution (PS) approach what they call a chained linear…
Descriptors: Measures (Individuals), Equated Scores, Item Response Theory, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Kane, Michael T.; Mroch, Andrew A.; Suh, Youngsuk; Ripkey, Douglas R. – Measurement: Interdisciplinary Research and Perspectives, 2009
This paper analyzes five linear equating models for the "nonequivalent groups with anchor test" (NEAT) design with internal anchors (i.e., the anchor test is part of the full test). The analysis employs a two-dimensional framework. The first dimension contrasts two general approaches to developing the equating relationship. Under a "parameter…
Descriptors: Scaling, Equated Scores, Methods, Test Items