Estimate sum score,s score index values index and test information values bias and mean squared errors using simulated data.
dataSimulation(dataList, parmList, nsample = 1000)A named list object containing objects produced from analyzing the simulations, one set for each simulation:
Sum score estimates
Score index estimates
Expected sum score estimates
Total arc length estimates
True or population score index values
Expected sum score population values
Total test length population values
Number of items
Number of index values
Fine mesh over score index range
Five marker percentages: 5, 25, 50, 75 and 95
The list object set up by function make_dataList.
The list object containing objects computed by function
Analyze.
The number of simulated samples.
Juan Li and James Ramsay
Ramsay, J. O., Li J. and Wiberg, M. (2020) Full information optimal scoring. Journal of Educational and Behavioral Statistics, 45, 297-315.
Ramsay, J. O., Li J. and Wiberg, M. (2020) Better rating scale scores with information-based psychometrics. Psych, 2, 347-360.
scorePerformance