The 'MAGMA.R' simulated data set contains 14 variables of 800 cases. It is used as example in the vignette and the help pages.
MAGMA_sim_data
A data frame with 17 variables of 800 cases.
: Individual ID for each case
: Binary variable indicating gender of a participant
: Binary variable that specifies whether a case received giftedness support (1) or not (0)
: Three-step ordinal variable ranging from 1 to 3 indicating increasing eacher rated ability of a case
: Binary variable that indicates whether a case participated in an afternoon enrichment program
: Binary variable that indicates whether at least one parent of a case has an academic background
: Variable ranging from 1 to 6 that indicates a case's high school GPA. Lower values indicate higher achievement
: Variable indicating the normed IQ score of a case
: The scale score of a case in a motivational questionnaire
: variable ranging from 1 to 6 that indicates a case's college GPA. Lower values indicate higher achievement
: Multinomial variable representing the combination of gifted support and enrichment
: Propensity score of twangs mnps function for teacher_ability_rating
: Propensity score of twangs mnps function for support_enrichment
: Propensity score of twangs ps function for gifted support
: Indicates step of MAGMA-matching for gifted support
: Indicates weight of MAGMA-matching for gifted support
: Indicates distance of MAGMA-matching for gifted support