TestDesign - Optimal Test Design Approach to Fixed and Adaptive Test Construction

Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests. Supports the following mixed-integer programming (MIP) solver packages: 'Rsymphony', 'highs', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.

Last updated 4 months ago

openblascpp

7.45 score 3 stars 2 dependents 37 scripts 444 downloads

PROsetta - Linking Patient-Reported Outcomes Measures

Perform scale linking to establish relationships between instruments that measure similar constructs according to the PROsetta Stone methodology, as in Choi, Schalet, Cook, & Cella (2014) <doi:10.1037/a0035768>.

Last updated 2 months ago

cpp

5.04 score 1 stars 11 scripts 228 downloads

lordif - Logistic Ordinal Regression Differential Item Functioning using IRT

Performs analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of ordinal logistic regression and item response theory (IRT) according to Choi, Gibbons, and Crane (2011) <doi:10.18637/jss.v039.i08>.

Last updated 24 days ago

5.02 score 1 stars 1 dependents 35 scripts 455 downloads

maat - Multiple Administrations Adaptive Testing

Provides an extension of the shadow-test approach to computerized adaptive testing (CAT) implemented in the 'TestDesign' package for the assessment framework involving multiple tests administered periodically throughout the year. This framework is referred to as the Multiple Administrations Adaptive Testing (MAAT) and supports multiple item pools vertically scaled and multiple phases (stages) of CAT within each test. Between phases and tests, transitioning from one item pool (and associated constraints) to another is allowed as deemed necessary to enhance the quality of measurement.

Last updated 8 months ago

4.00 score 5 scripts 128 downloads

MAT - Multidimensional Adaptive Testing

Simulates Multidimensional Adaptive Testing using the multidimensional three-parameter logistic model as described in Segall (1996) <doi:10.1007/BF02294343>, van der Linden (1999) <doi:10.3102/10769986024004398>, Reckase (2009) <doi:10.1007/978-0-387-89976-3>, and Mulder & van der Linden (2009) <doi:10.1007/s11336-008-9097-5>.

Last updated 8 months ago

openblascpp

3.40 score 50 scripts 547 downloads