The standardized ability of each scale, its standard error, and the percentile: the
share of the population of the calibration sample expected below that ability,
assuming a normal distribution (pnorm of the standardized ability).
Value
A data frame, one row per scale: scale, theta and se
(standardized), percentile (0 to 100), answered, total and
status.
See also
Other CAT session:
cat_answer(),
cat_item(),
cat_start(),
plot_cat_trajectory()
Examples
q <- read_questionnaire(example_questionnaires()[3])
s <- cat_start(q, scales = c("Openness", "Neuroticism"))
while (s$stage == "testing") s <- cat_answer(s, 2)
cat_results(s)
#> scale theta se percentile answered total status
#> 1 Openness -1.5433321 0.4477210 6.137511 5 10 completed
#> 2 Neuroticism -0.5165523 0.4436883 30.273438 2 10 completed