sample_data: Simulated Data for Testing Functions

In dcm2: Calculating the M2 Model Fit Statistic for Diagnostic Classification Models

Simulated Data for Testing Functions

Description

A matrix with randomly simulated data to test the package functions.

Usage

sample_data

Format

A 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).

dcm2 documentation built on April 1, 2023, 12:14 a.m.