Computing Subscores in Classical Test Theory and Item Response Theory
This main function estimates true subscores using different methods ba...
This function prepares data into a required list format
Computing correlation indices for subscores and the total score.
Computing subscores using Haberman's method based on observed subscore...
Computing subscores using Haberman's method based on both observed tot...
Estimating true subscores using Wainer's augmentation method
Computing subscores using Haberman's method based on observed total sc...
Estimating true subscores using Yen's OPI
Computing Yen's Q3 statistic for unidimensional Rasch, 1-, 2-, and 3-P...
Functions for computing test subscores using different methods in both classical test theory (CTT) and item response theory (IRT). This package enables three types of subscoring methods within the framework of CTT and IRT, including (1) Wainer's augmentation method (Wainer et. al., 2001) <doi:10.4324/9781410604729>, (2) Haberman's subscoring methods (Haberman, 2008) <doi:10.3102/1076998607302636>, and (3) Yen's objective performance index (OPI; Yen, 1987) <https://www.ets.org/research/policy_research_reports/publications/paper/1987/hrap>. It also includes functions to compute Proportional Reduction of Mean Squared Errors (PRMSEs) in Haberman's methods which are used to examine whether test subscores are of added value. In addition, the package includes a function to assess the local independence assumption of IRT with Yen's Q3 statistic (Yen, 1984 <doi:10.1177/014662168400800201>; Yen, 1993 <doi:10.1111/j.1745-3984.1993.tb00423.x>).