Calculate Adaptivity Measures

Source: R/calculate_adaptivity_measures.r

calculateAdaptivityMeasures is a function for calculating commonly used adaptivity measures.

calculateAdaptivityMeasures(x, with_constraints = FALSE, config = NULL)

Arguments

x

an output_Shadow_all object.

with_constraints

TRUE to calculate best info with content constraints.

config

only used when with_constraints is TRUE. A config_Static object for calculating best information while satisfying content constraints. Leave this to NULL to use default settings of createStaticTestConfig.

Value

calculateAdaptivityMeasures returns a named list:

  • corr the correlation between final theta estimates and average test locations.

  • ratio the ratio of (1) standard deviation of average test locations, versus (2) standard deviation of final theta estimates.

  • PRV the proportion of variance reduced, from (1) the variance of item locations of all items in the pool, by (2) the average of test location variances.

  • info (1) average information of a test at final theta estimate, relative to (2) best average obtainable from item pool using same test length, adjusting for (3) average information from item pool using random selection.