The data set contains results of an achievement test that measures different objectives and subskills of subjects in mathematics and science. Inter alia, the students had to respond to 56 multiple-choice items (31 mathematics, 25 science). For the original description, see Section 5.6 of Chapter 5 in De Boeck and Wilson (2004).
A data frame containing 1211 observations on 9 variables:
score number of correctly solved items (metric)
school school ID (nominal)
size number of students in the school, in hundreds (metric)
bachelor transformed and standardized percentage of adults with BA degree or higher in area with school zip code (metric)
born transformed and standardized percentage of adults in the school area who were born in the state where they now reside (metric)
mortgage transformed and standardized median of the monthly mortgage in the school area (metric)
language transformed and standardized percentage of foreign language households in the school area (metric)
type type of school (1: catholic, 2: private, 3: public)
gender gender (0: male, 1: female)
De Boeck, P. and M. Wilson (2004). Explanatory item response models: A generalized linear and nonlinear approach. Springer Verlag.
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