This is a quick-and-dirty style exam results generator that can be used to provide, if nothing else, an example test data set that will work throughout all of the MCTestAnalysis functions and interfaces.
1 2 3 4 5 | generateExampleData(n.students = 100, n.concepts = 4, n.q_per_concept = 5,
concept_difficulty_min_max = c(0.25, 1),
questions_difficulty_mean_sd = c(-0.5, 0.75),
students_overall_ability_mean_sd = c(0.25, 0.5), seed = 42,
write_files = TRUE)
|
n.students |
Number of "students" |
n.concepts |
Number of "concepts" being tested |
n.q_per_concept |
Number of questions per concept group |
concept_difficulty_min_max |
Each concept is assigned a difficulty from a uniform distribution with min and max as defined by this parameter. |
questions_difficulty_mean_sd |
Each question has a difficult level that is sampled from a normal distribution with mean and standard deviation as defined by this parameter. |
students_overall_ability_mean_sd |
Each student has an overall ability that is used to scale "his/her" performance across the entire test. |
seed |
Sets the for this run, for reproducibility |
write_files |
Should .csv files be written to the working directory? |
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