midsch | R Documentation |
This data comes from publicly available aggregated test scores of a large midwestern state. Each row represents scores for school A in grade X and then scores in school A and grade X+1. Additionally, some regression diagnostics and results from a predictive model of test scores in grade X+1 are included.
midsch
A data frame with 19985 observations on the following 16 variables.
district_id
a numeric vector
school_id
a numeric vector
subject
a factor with levels math
read
representing the subject of the test scores in the row
grade
a numeric vector
n1
a numeric vector for the count of students in the school and grade in t
ss1
a numeric vector for the scale score in t
n2
a numeric vector for the count of students in the school and grade in t+1
ss2
a numeric vector for the mean scale score in t+1
predicted
a numeric vector of the predicted ss2 for this observation
residuals
a numeric vector of residuals from the predicted ss2
resid_z
a numeric vector of standardized residuals
resid_t
a numeric vector of studentized residuals
cooks
a numeric vector of cooks D for the residuals
test_year
a numeric vector representing the year the test was taken
tprob
a numeric vector representing the probability of a residual appearing
flagged_t95
a numeric vector
These data were fit with a statistical model by a large newspaper to investigate unusual gains in test scores. Fifty separate models were fit representing all unique combinations of grade,year, and subject
data(midsch)
head(midsch)
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