Nothing
library(catR, quietly = TRUE)
context("nextItem-MLWI")
load("cat_objects.Rdata")
test_that("ltm nextItem MLWI calculates correctly", {
ltm_cat@estimation <- "MAP"
ltm_cat@selection <- "MLWI"
ltm_cat@answers[1:30] <- c(1, 0, 1, 1, 0, 0, 1, 1, 1, 0,
1, 0, 1, 1, 0, 0, 1, 1, 1, 0,
1, 0, 1, 1, 0, 0, 1, 1, 1, 0)
package_next <- selectItem(ltm_cat)
package_item <- package_next$next_item
package_est <- package_next$estimates[package_next$estimates$q_number == package_item,
"MLWI"]
catR_next <- nextItem(itemBank = it_ltm, theta = estimateTheta(ltm_cat),
x = ltm_cat@answers[1:30], criterion = "MLWI", out = 1:30,
method = "BM")
catR_item <- catR_next$item
catR_est <- catR_next$info
expect_equal(package_item, catR_item)
expect_equal(package_est, catR_est)
})
test_that("grm nextItem MLWI calculates correctly", {
grm_cat@estimation <- "MAP"
grm_cat@selection <- "MLWI"
grm_cat@answers[1:10] <- c(4, 5, 2, 4, 4, 1, 2, 2, 1, 3)
package_next <- selectItem(grm_cat)
package_item <- package_next$next_item
package_est <- package_next$estimates[package_next$estimates$q_number == package_item,
"MLWI"]
catR_next <- nextItem(itemBank = it_grm, theta = estimateTheta(grm_cat),
x = grm_cat@answers[1:10]-1, criterion = "MLWI",
model = "GRM", out = 1:10, method = "BM")
catR_item <- catR_next$item
catR_est <- catR_next$info
expect_equal(package_item, catR_item)
expect_equal(round(package_est, 10), round(catR_est, 10))
})
test_that("gpcm nextItem MLWI calculates correctly", {
gpcm_cat@estimation <- "MAP"
gpcm_cat@selection <- "MLWI"
gpcm_cat@answers[1:5] <- c(4, 5, 2, 4, 4)
package_next <- selectItem(gpcm_cat)
package_item <- package_next$next_item
package_est <- package_next$estimates[package_next$estimates$q_number == package_item,
"MLWI"]
catR_next <- nextItem(itemBank = it_gpcm, theta = estimateTheta(gpcm_cat),
x = gpcm_cat@answers[1:5]-1, criterion = "MLWI",
model = "GPCM", out = 1:5, method = "BM")
catR_item <- catR_next$item
catR_est <- catR_next$info
expect_equal(package_item, catR_item)
expect_equal(package_est, catR_est)
})
test_that("nextItem MLWI chooses item (not NA) when no questions asked", {
ltm_cat@selection <- "MLWI"
grm_cat@selection <- "MLWI"
gpcm_cat@selection <- "MLWI"
expect_true(!is.na(selectItem(ltm_cat)$next_item))
expect_true(!is.na(selectItem(grm_cat)$next_item))
expect_true(!is.na(selectItem(gpcm_cat)$next_item))
})
test_that("nextItem MLWI estimates are not NA (when no questions asked)", {
ltm_cat@selection <- "MLWI"
grm_cat@selection <- "MLWI"
gpcm_cat@selection <- "MLWI"
expect_equal(sum(!is.na(selectItem(ltm_cat)$estimates[,"MLWI"])), 40)
expect_equal(sum(!is.na(selectItem(grm_cat)$estimates[,"MLWI"])), 18)
expect_equal(sum(!is.na(selectItem(gpcm_cat)$estimates[,"MLWI"])), 10)
})
test_that("nextItem MLWI is actually the maximum estimate", {
ltm_cat@selection <- "MLWI"
grm_cat@selection <- "MLWI"
gpcm_cat@selection <- "MLWI"
ltm_next <- selectItem(ltm_cat)
grm_next <- selectItem(grm_cat)
gpcm_next <- selectItem(gpcm_cat)
expect_equal(ltm_next$next_item, which(ltm_next$estimates[, "MLWI"] ==
max(ltm_next$estimates[, "MLWI"])))
expect_equal(grm_next$next_item, which(grm_next$estimates[, "MLWI"] ==
max(grm_next$estimates[, "MLWI"])))
expect_equal(gpcm_next$next_item, which(gpcm_next$estimates[, "MLWI"] ==
max(gpcm_next$estimates[, "MLWI"])))
})
test_that("nextItem MLWI correctly skips questions", {
ltm_cat@selection <- "MLWI"
grm_cat@selection <- "MLWI"
gpcm_cat@selection <- "MLWI"
ltm_cat@answers[1:10] <- c(rep(-1, 5), 1, 1, 0, 0, 1)
grm_cat@answers[1:5] <- c(-1, -1, 5, 4, 3)
gpcm_cat@answers[1:5] <- c(-1, -1, 5, 4, 3)
ltm_next <- selectItem(ltm_cat)
grm_next <- selectItem(grm_cat)
gpcm_next <- selectItem(gpcm_cat)
expect_equal(nrow(ltm_next$estimates) + sum(!is.na(ltm_cat@answers)),
length(ltm_cat@answers))
expect_equal(nrow(grm_next$estimates) + sum(!is.na(grm_cat@answers)),
length(grm_cat@answers))
expect_equal(nrow(gpcm_next$estimates) + sum(!is.na(gpcm_cat@answers)),
length(gpcm_cat@answers))
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.