school_growth_percentile: Calculate growth percenitle

Description Usage Arguments Details Value

View source: R/school_growth_percentile.R

Description

school_growth_percentile is the workhourse function that calculates school growth percentiles.

Usage

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school_growth_percentile(.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", truncate_growth = TRUE,
  fall_equate_scores = NULL, norms = nwea_cps_school_level_norms_2015)

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

truncate_growth

whether or not to truncate student growth at 1st and 99th percentiles Default is 'TRUE'

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

Details

Currently this function (indeed, this package) only supports spring-to-spring calculations. Since CPS will equate your fall scores anyway, this function does support equating fall to prior spring scores. see the 'fall_equate_score' parameter below for more details.

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.