pp_amt

This dataset contains real data from the 'Adaptive Matrices Test' (AMT), which is a computer-administered test.
This power test assesses logical reasoning as an indicator of general intelligence. The ability to identify regularities and draw logical conclusions is a very good predictor of long-term success at work. The dataset is sparse, because the test tailores a specific set of items for each examinee's ability level. (More information about adaptive testing: <a href="https://en.wikipedia.org/wiki/Computerized_adaptive_testing">https://en.wikipedia.org/wiki/Computerized_adaptive_testing</a>)

The PP package includes estimation of (MLE, WLE, MAP, EAP, ROBUST)
person parameters for the 1,2,3,4-PL model and the GPCM (generalized
partial credit model). The parameters are estimated under the assumption
that the item parameters are known and fixed. The package is useful e.g. in
the case that items from an item pool / item bank with known item parameters
are administered to a new population of test-takers and an ability
estimation for every test-taker is needed.

Steinfeld Jan

Person Parameter Estimation

Jan Steinfeld

Manuel Reif

pp_amt function

A list with two data.frames. The first data.frame 'daten_amt' contains 298 columns and 710 rows. Each row contains responses from on examinee. The second data.frame 'betas' contains the difficulty parameter (1PL) (These parameters came with the raw-score extraction.).

Format

This dataset contains real data from the 'Adaptive Matrices Test' (AMT), which is a computer-administered test.
This power test assesses logical reasoning as an indicator of general intelligence. The ability to identify regularities and draw logical conclusions is a very good predictor of long-term success at work. The dataset is sparse, because the test tailores a specific set of items for each examinee's ability level. (More information about adaptive testing: <a href='https://en.wikipedia.org/wiki/Computerized_adaptive_testing'>https://en.wikipedia.org/wiki/Computerized_adaptive_testing</a>)

pp_amt: Adaptive Matrices Test data

Description

Arguments

Format

Details

References

See Also