A matrix with randomly simulated data to test the package functions.
sample_dataA list frame containing 4 tibble objects:
resp_profiles: A tibble with 1000 rows and 3 columns. The first
column indicates resp_id (i.e., the respondent identification number).
The second column indicates att_1 (i.e., a binary indicator for whether the
respondent mastered the first attribute). The third column indicates att_2
(i.e., a binary indicator for whether the respondent mastered the second
attribute).
q_matrix: A tibble with 8 rows and 2 columns. Each row corresponds
to an assessment item, and the column entries provide a binary indicator for
whether the item assessed each of the attribute.
item_params: A tibble with 8 rows and 5 columns. Each row
corresponds to an item. The first column indicates item_id (i.e., the item
identification number). The second column indicates intercept (i.e., the
true item intercept parameter for the item). The third column indicates
att_1 (i.e., the true item main effect parameter for the first attribute
for the item). The fourth column indicates att_2 (i.e., the true item main
effect parameter for the second attribute for the item). The fifth column
indicates att_1__att_2 (i.e., the true item interaction effect parameter
for the first and second attributes).
data: A tibble with 8000 rows and 3 columns. The first column
indicates resp_id (i.e., the respondent identification number). The second
column indicates item_id (i.e., the item identification number). The third
column indicates score (i.e., the dichotomously scored item response).