Computer adaptive testing
Simulation study for evaluating MAP Growth item pools with grade-level constraints
This simulation study examines the measurement precision, item exposure rates, and the depth of the MAP Growth item pools under various grade-level restrictions.
The purpose of this literature review is to study the advantages and limitations of various through-course summative assessment models with the goal of informing the design of the NWEA through-year solution.
By: Garron Gianopulos
Topics: Test design, Computer adaptive testing
Robust IRT scaling: Considerations in constructing item bank from tests across years
This study investigates the impact of three different IRT scaling and equating methods in building an item bank of tests from 23 years of a national licensure exam . The study focuses on several key psychometric issues including scaledriftandequatingerrors.
By: Jungnam Kim, Dong-In Kim, Furong Gao
Topics: Measurement & scaling, Computer adaptive testing, Item response theory
A large-scale, long-term study of scale drift: The micro view and the macro view
This study examined the measurement stability of a set of Rasch measurement scales that have been in place for almost 40 years.
The major purpose of this paper is to investigate the effects of CAT test design and bank distribution on the content coverage and the efficiency of the tests.
By: Shudong Wang, Hong Jiao
Topics: Test design, Computer adaptive testing, Learning standards & alignment
These studies are conducted based on assumptions under regular conditions for fixed test forms, such as no missing responses and normal distribution of unidimensional ability for a population.
By: Shudong Wang, Hong Jiao
Topics: Measurement & scaling, Computer adaptive testing, Item response theory
Examine construct validity of computerized adaptive test in Kā12 assessments
The purpose of this study is to investigate the effect of missing data in computerized adaptive tests (CAT) on test construct validity.
By: Shudong Wang, Hong Jiao
Topics: Computer adaptive testing