data_att1: Simulated Data for a Single Attribute Assessment

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

Simulated Data for a Single Attribute Assessment

Description

A list containing data from a randomly simulated single-attribute assessment.

Usage

data_att1

Format

A list frame containing 4 tibble objects:

• resp_profiles: A tibble with 1000 rows and 2 columns. The first column indicates resp_id (i.e., the respondent identification number) and the second column indicates att_1 (i.e., a binary indicator for whether the respondent mastered the first attribute).

• q_matrix: A tibble with 2 rows and 1 column. Each row corresponds to an assessment item, and the column entries provide a binary indicator for whether the item assessed the attribute.

• item_params: A tibble with 2 rows and 3 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 item).

• data: A tibble with 2000 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.