midsch: A dataframe of aggregate test scores for schools in a Midwest...

Description Usage Format Details Examples

Description

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.

Usage

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Format

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

Details

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

Examples

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eeptools documentation built on May 3, 2020, 1:05 a.m.