project_s2s: Create cdf with projected growth from a single season cdf

In kippchicago/sqrpr: Chicago Public Schools School Quality Rating Policy metric calculations

Description

project_s2s accepts a single season, which must be "Spring", cdf and creates a second season with projected growth, and appends the projected growth to the original cdf.

Usage

project_s2s(.data, student_column = "studentid", grade_column = "grade",
  subject_column = "measurementscale", rit_column = "testritscore",
  term_column = "termname", dl_indicator = "iep", ell_indicator = "iep",
  school_indicator = "schoolname", fall_equate_scores = NULL,
  percent_cr = 0.1)

Arguments

.data	a long format (i.e., combined) Comprehensive Data File
student_column	column that uniquely identifies students with respect to subject and term
grade_column	column that identifies grade levels
subject_column	which column identifies measurement scale
rit_column	column that identifes RIT score
term_column	identifies term name
dl_indicator	identifies diverse learner status
ell_indicator	identifies English Language Learner status
school_indicator	column that identifies school
fall_equate_scores	either a data.frame of fall MAP results with columns 'studentid', 'measurementscale', 'testritscore', and 'grade', or 'TRUE' if your equateding all fall scores from fall-to-spring map data. If a data.frame is passed, then these data are used to equate missing pre-test (i.e., prior-spring) RIT scores per CPS guidelines. IF 'TRUE' is passed, then all fall scores are equated to the prior spring
percent_cr	percent of students who make excatly KIPP Tiered college ready growth. This parameter is a scalar between in (0,1) and is passed to rbinom's prob paramter.

Details

This function essentially creates a two season CDF where the second, later season has anticipated results. The resulting CDF is suitable for passing to school_growth_percentile and after filtering to the second season to school_attainment_percentile.

The percent_cr is used to control the minimum pernctage of students in the CDF that make KIPP Tiered college ready growth. Students not picked to make CR ready growth have growth that drawn from rnorm with the mean and sd set by for each student the 2011 NWEA MAP student-level norms.

Since CR students are identified rbinom and non CR growth is determeind by rnorm these project growth of of students is fundametnally stochastic. Consequently, this function is best suited for simulating growth.

As with school_growth_percentile, you can pass single season CDF of fall results to impute prior spring scores for students

Value

list with four data frames attached showing student-, grade-, and school-level growth percentiles as well as the original data.

kippchicago/sqrpr documentation built on Dec. 15, 2019, 12:27 a.m.