| 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_ida numeric vector
school_ida numeric vector
subjecta factor with levels math read representing the subject of the test scores in the row
gradea numeric vector
n1a numeric vector for the count of students in the school and grade in t
ss1a numeric vector for the scale score in t
n2a numeric vector for the count of students in the school and grade in t+1
ss2a numeric vector for the mean scale score in t+1
predicteda numeric vector of the predicted ss2 for this observation
residualsa numeric vector of residuals from the predicted ss2
resid_za numeric vector of standardized residuals
resid_ta numeric vector of studentized residuals
cooksa numeric vector of cooks D for the residuals
test_yeara numeric vector representing the year the test was taken
tproba numeric vector representing the probability of a residual appearing
flagged_t95a 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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.