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SGPstateData.R
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12360 lines (11341 loc) · 499 KB
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###################################################################################################
####
#### File to produce SGPstateData containing state cutscores and other assessment program meta-data
####
#### NOTE: All variables used for merges are in ALL CAPS. Otherwise camel case
#### NOTE: Cutscores are the LOWER BOUND of the performance level
####
###################################################################################################
SGPstateData <- new.env()
### Load required packages
require(data.table)
require(grid)
# require(png)
#########################################################
### PARCC (Consortium) Embedded in later state meta-data
#########################################################
load("Knots_Boundaries/PARCC_Knots_Boundaries.Rdata")
SGPstateData[["PARCC"]][["Achievement"]][["Knots_Boundaries"]] <- PARCC_Knots_Boundaries
load("Cutscores/PARCC/PARCC_Cutscores.Rdata")
SGPstateData[["PARCC"]][["Achievement"]][["Cutscores"]] <- PARCC_Cutscores
SGPstateData[["PARCC"]][["Achievement"]][["Levels"]] <-
list(
Labels=c("Level 1", "Level 2", "Level 3", "Level 4", "Level 5"),
Proficient=c("Not Proficient", "Not Proficient", "Not Proficient", "Proficient", "Proficient"))
# SGPstateData[["PARCC"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["PARCC"]][["Growth"]][["System_Type"]] <- "Cohort and Baseline Referenced"
# SGPstateData[["PARCC"]][["Growth"]][["Cutscores"]] <-
# list(
# Cuts=c(35, 66),
# Labels=list("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["PARCC"]][["Assessment_Program_Information"]] <-
list(
Assessment_Name="Partnership for Assessment of Readiness for College and Careers",
Assessment_Abbreviation="PARCC",
Organization=list(
Name="PARCC Inc",
Abbreviation="PARCC Inc",
URL="www.parccinc.org",
Contact="202-748-8100"),
Content_Areas=c("English Language Arts", "Mathematics", "Geometry", "Algebra I", "Algebra II", "Integrated Math 1", "Integrated Math 2", "Integrated Math 3"),
Grades_Tested=c(3,4,5,6,7,8,9,10,11),
Assessment_Years=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2"),
Test_Season="Fall & Spring",
Test_Vendor="Pearson",
CSEM="SCALE_SCORE_CSEM")
SGPstateData[["PARCC"]][["Student_Report_Information"]] <-
list(
Transformed_Achievement_Level_Cutscores=list(
MATHEMATICS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ELA=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
GEOMETRY=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_I=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_II=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_1=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_2=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_3=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ELA_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
MATHEMATICS_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
GEOMETRY_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_I_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_II_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_1_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_2_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_3_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2")),
Transformed_Achievement_Level_Cutscores_gaPlot=list(
MATHEMATICS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ELA=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
GEOMETRY=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_I=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_II=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_1=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_2=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_3=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ELA_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
MATHEMATICS_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
GEOMETRY_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_I_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
ALGEBRA_II_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_1_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_2_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2"),
INTEGRATED_MATH_3_SS=c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2", "2019_2020.1", "2019_2020.2")),
Vertical_Scale=list(ELA=FALSE, MATHEMATICS=FALSE, GEOMETRY=FALSE, ALGEBRA_I=FALSE, ALGEBRA_II=FALSE, INTEGRATED_MATH_1=FALSE, INTEGRATED_MATH_2=FALSE, INTEGRATED_MATH_3=FALSE,
ELA_SS=FALSE, MATHEMATICS_SS=FALSE, GEOMETRY_SS=FALSE, ALGEBRA_I_SS=FALSE, ALGEBRA_II_SS=FALSE, INTEGRATED_MATH_1_SS=FALSE, INTEGRATED_MATH_2_SS=FALSE, INTEGRATED_MATH_3_SS=FALSE),
Content_Areas_Labels=list(
ELA="English Language Arts", MATHEMATICS="Math", GEOMETRY="Geometry", ALGEBRA_I="Algebra I", ALGEBRA_II="Algebra II",
INTEGRATED_MATH_1="Integrated Math 1", INTEGRATED_MATH_2="Integrated Math 2", INTEGRATED_MATH_3="Integrated Math 3",
ELA_SS="English Language Arts", MATHEMATICS_SS="Math", GEOMETRY_SS="Geometry", ALGEBRA_I_SS="Algebra I", ALGEBRA_II_SS="Algebra II",
INTEGRATED_MATH_1_SS="Integrated Math 1", INTEGRATED_MATH_2_SS="Integrated Math 2", INTEGRATED_MATH_3_SS="Integrated Math 3"),
Content_Areas_Domains=list(
ELA="ELA", MATHEMATICS="MATHEMATICS", GEOMETRY="MATHEMATICS", ALGEBRA_I="MATHEMATICS", ALGEBRA_II="MATHEMATICS",
INTEGRATED_MATH_1="MATHEMATICS", INTEGRATED_MATH_2="MATHEMATICS", INTEGRATED_MATH_3="MATHEMATICS",
ELA_SS="ELA_SS", MATHEMATICS_SS="MATHEMATICS_SS", GEOMETRY_SS="MATHEMATICS_SS", ALGEBRA_I_SS="MATHEMATICS_SS", ALGEBRA_II_SS="MATHEMATICS_SS",
INTEGRATED_MATH_1_SS="MATHEMATICS_SS", INTEGRATED_MATH_2_SS="MATHEMATICS_SS", INTEGRATED_MATH_3_SS="MATHEMATICS_SS"),
Grades_Reported=list(
ELA=c("3","4","5","6","7","8","9","10","11"), MATHEMATICS=c("3","4","5","6","7","8"), GEOMETRY="EOCT", ALGEBRA_I="EOCT", ALGEBRA_II="EOCT",
INTEGRATED_MATH_1="EOCT", INTEGRATED_MATH_2="EOCT", INTEGRATED_MATH_3="EOCT",
ELA_SS=c("3","4","5","6","7","8","9","10","11"), MATHEMATICS_SS=c("3","4","5","6","7","8"), GEOMETRY_SS="EOCT", ALGEBRA_I_SS="EOCT", ALGEBRA_II_SS="EOCT",
INTEGRATED_MATH_1_SS="EOCT", INTEGRATED_MATH_2_SS="EOCT", INTEGRATED_MATH_3_SS="EOCT"),
Grades_Reported_Domains=list(
ELA=c("3","4","5","6","7","8","9","10","11"), ELA_SS=c("3","4","5","6","7","8","9","10","11"),
MATHEMATICS=c("3","4","5","6","7","8","EOCT"), MATHEMATICS_SS=c("3","4","5","6","7","8","EOCT")),
Achievement_Level_Labels=list(
"Level 1"="Level 1",
"Level 2"="Level 2",
"Level 3"="Level 3",
"Level 4"="Level 4",
"Level 5"="Level 5"))
SGPstateData[["PARCC"]][["SGP_Configuration"]] <-
list(
fix.duplicates="KEEP.ALL",
rq.method="fn",
sgp.minimum.default.panel.years=2,
# percentile.cuts=c(1,35,50,66,99),
sgPlot.sgp.targets=c("sgp.projections", "sgp.projections.lagged"),
sgp.projections.max.forward.progression.years=FALSE,
gaPlot.back.extrapolated.cuts=list(MATHEMATICS=TRUE, ELA=TRUE),
calculate.confidence.intervals=list(confidence.quantiles=c(0.05, 0.95)),
# sgPlot.show.content_area.progression=TRUE,
return.norm.group.scale.scores=TRUE,
return.projection.group.scale.scores=TRUE,
print.other.gp=TRUE,
print.sgp.order=TRUE,
sgp.cohort.size=1000,
sgp.less.than.sgp.cohort.size.return="<1000",
sgp.projections.use.only.complete.matrices=FALSE,
null.output.string="",
grade.projection.sequence=list(
ELA=c("3", "4", "5", "6", "7", "8", "9", "10"), # only BIE has 11th grade after 2021
ELA_SS=c("3", "4", "5", "6", "7", "8", "9", "10"),
MATHEMATICS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
MATHEMATICS_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
MATHEMATICS_INTGRT=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
MATHEMATICS_INTGRT_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
GEOMETRY=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
GEOMETRY_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
ALGEBRA_I=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
ALGEBRA_I_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
ALGEBRA_II=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
ALGEBRA_II_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
INTEGRATED_MATH_1=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
INTEGRATED_MATH_1_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
INTEGRATED_MATH_2=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
INTEGRATED_MATH_2_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
INTEGRATED_MATH_3=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
INTEGRATED_MATH_3_SS=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT")),
content_area.projection.sequence=list(
ELA=c("ELA", "ELA", "ELA", "ELA", "ELA", "ELA", "ELA", "ELA"),
ELA_SS=c("ELA_SS", "ELA_SS", "ELA_SS", "ELA_SS", "ELA_SS", "ELA_SS", "ELA_SS", "ELA_SS"),
MATHEMATICS=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
MATHEMATICS_SS=c(rep("MATHEMATICS_SS", 6), "ALGEBRA_I_SS", "GEOMETRY_SS", "ALGEBRA_II_SS"),
MATHEMATICS_INTGRT=c(rep("MATHEMATICS", 6), "INTEGRATED_MATH_1", "INTEGRATED_MATH_2", "INTEGRATED_MATH_3"),
MATHEMATICS_INTGRT_SS=c(rep("MATHEMATICS_SS", 6), "INTEGRATED_MATH_1_SS", "INTEGRATED_MATH_2_SS", "INTEGRATED_MATH_3_SS"),
ALGEBRA_I=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
ALGEBRA_I_SS=c(rep("MATHEMATICS_SS", 6), "ALGEBRA_I_SS", "GEOMETRY_SS", "ALGEBRA_II_SS"),
GEOMETRY=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
GEOMETRY_SS=c(rep("MATHEMATICS_SS", 6), "ALGEBRA_I_SS", "GEOMETRY_SS", "ALGEBRA_II_SS"),
ALGEBRA_II=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
ALGEBRA_II_SS=c(rep("MATHEMATICS_SS", 6), "ALGEBRA_I_SS", "GEOMETRY_SS", "ALGEBRA_II_SS"),
INTEGRATED_MATH_1=c(rep("MATHEMATICS", 6), "INTEGRATED_MATH_1", "INTEGRATED_MATH_2", "INTEGRATED_MATH_3"),
INTEGRATED_MATH_1_SS= c(rep("MATHEMATICS_SS", 6), "INTEGRATED_MATH_1_SS", "INTEGRATED_MATH_2_SS", "INTEGRATED_MATH_3_SS"),
INTEGRATED_MATH_2=c(rep("MATHEMATICS", 6), "INTEGRATED_MATH_1", "INTEGRATED_MATH_2", "INTEGRATED_MATH_3"),
INTEGRATED_MATH_2_SS= c(rep("MATHEMATICS_SS", 6), "INTEGRATED_MATH_1_SS", "INTEGRATED_MATH_2_SS", "INTEGRATED_MATH_3_SS"),
INTEGRATED_MATH_3=c(rep("MATHEMATICS", 6), "INTEGRATED_MATH_1", "INTEGRATED_MATH_2", "INTEGRATED_MATH_3"),
INTEGRATED_MATH_3_SS= c(rep("MATHEMATICS_SS", 6), "INTEGRATED_MATH_1_SS", "INTEGRATED_MATH_2_SS", "INTEGRATED_MATH_3_SS")), #
year_lags.projection.sequence=list(
ELA=rep(1L, 7),
ELA_SS=rep(1L, 7),
MATHEMATICS=rep(1L, 8),
MATHEMATICS_SS=rep(1L, 8),
MATHEMATICS_INTGRT=rep(1L, 8),
MATHEMATICS_INTGRT_SS=rep(1L, 8),
GEOMETRY=rep(1L, 8),
GEOMETRY_SS=rep(1L, 8),
ALGEBRA_I=rep(1L, 8),
ALGEBRA_I_SS=rep(1L, 8),
ALGEBRA_II=rep(1L, 8),
ALGEBRA_II_SS=rep(1L, 8),
INTEGRATED_MATH_1=rep(1L, 8),
INTEGRATED_MATH_1_SS=rep(1L, 8),
INTEGRATED_MATH_2=rep(1L, 8),
INTEGRATED_MATH_2_SS=rep(1L, 8),
INTEGRATED_MATH_3=rep(1L, 8),
INTEGRATED_MATH_3_SS=rep(1L, 8)),
max.forward.projection.sequence=list(
ELA=3,
ELA_SS=3,
MATHEMATICS=3,
MATHEMATICS_SS=3,
MATHEMATICS_INTGRT=3,
MATHEMATICS_INTGRT_SS=3,
GEOMETRY=3,
GEOMETRY_SS=3,
ALGEBRA_I=3,
ALGEBRA_I_SS=3,
ALGEBRA_II=3,
ALGEBRA_II_SS=3,
INTEGRATED_MATH_1=3,
INTEGRATED_MATH_1_SS=3,
INTEGRATED_MATH_2=3,
INTEGRATED_MATH_2_SS=3,
INTEGRATED_MATH_2=3,
INTEGRATED_MATH_3_SS=3))
SGPstateData[["PARCC"]][['SGP_Progression_Preference']] <- data.table(
SGP_PROJECTION_GROUP = c("MATHEMATICS", "MATHEMATICS_INTGRT", "ALGEBRA_I", "INTEGRATED_MATH_1", "GEOMETRY", "INTEGRATED_MATH_2", "ALGEBRA_II", "INTEGRATED_MATH_3",
"MATHEMATICS_SS", "MATHEMATICS_INTGRT_SS", "ALGEBRA_I_SS", "INTEGRATED_MATH_1_SS", "GEOMETRY_SS", "INTEGRATED_MATH_2_SS", "ALGEBRA_II_SS", "INTEGRATED_MATH_3_SS"),
PREFERENCE = c(1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2), key = "SGP_PROJECTION_GROUP")
load("SGP_Norm_Group_Preference/PARCC_SGP_Norm_Group_Preference.Rdata")
SGPstateData[["PARCC"]][["SGP_Norm_Group_Preference"]] <- PARCC_SGP_Norm_Group_Preference
#########################################################
### SBAC
#########################################################
load("Knots_Boundaries/SBAC_Knots_Boundaries.Rdata")
SGPstateData[["SBAC"]][["Achievement"]][["Knots_Boundaries"]] <- SBAC_Knots_Boundaries
SGPstateData[["SBAC"]][["Achievement"]][["Cutscores"]] <- list(
ELA=list(
GRADE_3=c(2367, 2432, 2490),
GRADE_4=c(2416, 2473, 2533),
GRADE_5=c(2442, 2502, 2582),
GRADE_6=c(2457, 2531, 2618),
GRADE_7=c(2479, 2552, 2649),
GRADE_8=c(2487, 2567, 2668),
GRADE_10=c(2491, 2577, 2677),
GRADE_11=c(2493, 2583, 2682)),
MATHEMATICS=list(
GRADE_3=c(2381, 2436, 2501),
GRADE_4=c(2411, 2485, 2549),
GRADE_5=c(2455, 2528, 2579),
GRADE_6=c(2473, 2552, 2610),
GRADE_7=c(2484, 2567, 2635),
GRADE_8=c(2504, 2586, 2653),
GRADE_10=c(2529, 2614, 2697),
GRADE_11=c(2543, 2628, 2718)))
SGPstateData[["SBAC"]][["Achievement"]][["Levels"]] <- list(
Labels=c("Level 1", "Level 2", "Level 3", "Level 4"),
Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient"))
SGPstateData[["SBAC"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["SBAC"]][["Growth"]][["Cutscores"]] <- list(
Cuts=c(35, 66),
Labels=c("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["SBAC"]][["Growth"]][["System_Type"]] <- "Cohort Referenced"
SGPstateData[["SBAC"]][["Assessment_Program_Information"]] <- list(
Assessment_Name="SBAC",
Assessment_Abbreviation="Smarter Balanced Assessment Consortium",
Organization=list(
Name="Smarter Balanced Assessment Consortium",
Abbreviation="SBAC",
URL="www.smarterbalanced.org",
Contact="888-888-8888"),
Content_Areas=c("Mathematics", "Reading"),
Grades_Tested=c(3,4,5,6,7,8,10,11),
Test_Season="Spring",
Test_Vendor="SBAC",
CSEM="SCALE_SCORE_CSEM")
SGPstateData[["SBAC"]][["Student_Report_Information"]] <- list(
Vertical_Scale=list(MATHEMATICS=TRUE, ELA=TRUE),
Content_Areas_Labels=list(MATHEMATICS="Math", ELA="ELA"),
Grades_Reported=list(MATHEMATICS=c(3,4,5,6,7,8,10,11), ELA=c(3,4,5,6,7,8,10,11)),
Achievement_Level_Labels=list(
"Level 1"="Level 1",
"Level 2"="Level 2",
"Level 3"="Level 3",
"Level 4"="Level 4"))
SGPstateData[["SBAC"]][["SGP_Configuration"]] <-
list(
rq.method="fn",
sgp.minimum.default.panel.years=2,
sgp.target.scale.scores.merge="all_years_lagged_current"
)
#########################################################
### ALBUQUERQUE
#########################################################
load("Knots_Boundaries/ABQ_Knots_Boundaries.Rdata")
SGPstateData[["ABQ"]][["Achievement"]][["Knots_Boundaries"]] <- ABQ_Knots_Boundaries
SGPstateData[["ABQ"]][["Achievement"]][["Cutscores"]] <-
list(
READING=list(
GRADE_3=c(332,340,356),
GRADE_4=c(426,440,452),
GRADE_5=c(528,540,552),
GRADE_6=c(628,640,652),
GRADE_7=c(730,740,754),
GRADE_8=c(831,840,858),
GRADE_11=c(1129,1140,1151)),
MATHEMATICS=list(
GRADE_3=c(328,340,359),
GRADE_4=c(429,440,453),
GRADE_5=c(529,540,551),
GRADE_6=c(630,640,653),
GRADE_7=c(730,740,753),
GRADE_8=c(827,840,855),
GRADE_11=c(1127,1140,1151)))
SGPstateData[["ABQ"]][["Achievement"]][["Levels"]] <-
list(
Labels=c("Beginning Step", "Nearing Proficient", "Proficient", "Advanced"),
Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient"))
SGPstateData[["ABQ"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["ABQ"]][["Growth"]][["Cutscores"]] <-
list(
Cuts=c(35, 66),
Labels=c("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["ABQ"]][["Growth"]][["System_Type"]] <- "Cohort Referenced"
SGPstateData[["ABQ"]][["Assessment_Program_Information"]] <-
list(
Assessment_Name="New Mexico Standards Based Assessment",
Assessment_Abbreviation="NMSBA",
Organization=list(
Name="Albuquerque Public Schools",
Abbreviation="APS",
URL="http://www.aps.edu/",
Contact="505-880-3700"),
Content_Areas=c("Mathematics", "Reading"),
Grades_Tested=c(3,4,5,6,7,8),
Test_Season="Spring",
Test_Vendor="Measured Progress")
SGPstateData[["ABQ"]][["Student_Report_Information"]] <- list(
Transformed_Achievement_Level_Cutscores=list(MATHEMATICS=as.character(2011:2014), READING=as.character(2011:2014)),
Transformed_Achievement_Level_Cutscores_gaPlot=list(MATHEMATICS=as.character(2011:2014), READING=as.character(2011:2014)),
Vertical_Scale=list(MATHEMATICS=FALSE, READING=FALSE),
Content_Areas_Labels=list(MATHEMATICS="Math", READING="Reading"),
Grades_Reported=list(MATHEMATICS=c(3,4,5,6,7,8), READING=c(3,4,5,6,7,8)),
Achievement_Level_Labels=list(
"Beginning"="Beginning Step",
"Nearing"="Nearing Proficient",
"Proficient"="Proficient",
"Advanced"="Advanced"))
SGPstateData[["ABQ"]][["Variable_Name_Lookup"]] <- read.csv("Variable_Name_Lookup/ABQ_Variable_Name_Lookup.csv", colClasses=c(rep("character",4), "logical"))
#########################################################
### ALABAMA
#########################################################
#load("Knots_Boundaries/AL_Knots_Boundaries.Rdata")
load("Knots_Boundaries/AL_Knots_Boundaries_052224.Rdata")
SGPstateData[["AL"]][["Achievement"]][["Knots_Boundaries"]] <- AL_Knots_Boundaries
SGPstateData[["AL"]][["Achievement"]][["Cutscores"]] <-
list(MATHEMATICS=list(
GRADE_2=c(476, 523, 565),
GRADE_3=c(479, 530, 581),
GRADE_4=c(477, 538, 580),
GRADE_5=c(478, 537, 585),
GRADE_6=c(470, 541, 585),
GRADE_7=c(485, 553, 604),
GRADE_8=c(470, 555, 610)),
ELA=list(
GRADE_2=c(445, 506, 569),
GRADE_3=c(422, 495, 559),
GRADE_4=c(427, 496, 567),
GRADE_5=c(427, 502, 580),
GRADE_6=c(429, 501, 576),
GRADE_7=c(425, 500, 581),
GRADE_8=c(412, 492, 564)),
MATHEMATICS.2022_2023=list(
GRADE_2=c(476, 523, 565),
GRADE_3=c(479, 530, 581),
GRADE_4=c(477, 538, 580),
GRADE_5=c(478, 537, 585),
GRADE_6=c(470, 541, 585),
GRADE_7=c(485, 553, 604),
GRADE_8=c(470, 555, 610)),
ELA.2022_2023=list(
GRADE_2=c(440, 501, 550),
GRADE_3=c(431, 496, 553),
GRADE_4=c(449, 493, 545),
GRADE_5=c(445, 486, 537),
GRADE_6=c(444, 502, 543),
GRADE_7=c(433, 491, 527),
GRADE_8=c(420, 491, 538)),
ELA.2023_2024=list(
GRADE_2=c(440, 501, 550),
GRADE_3=c(431, 496, 553),
GRADE_4=c(449, 493, 545),
GRADE_5=c(445, 486, 537),
GRADE_6=c(444, 502, 543),
GRADE_7=c(433, 491, 527),
GRADE_8=c(420, 491, 538)))
SGPstateData[["AL"]][["Achievement"]][["Levels"]] <-
list(
Labels=c("Level 1", "Level 2", "Level 3", "Level 4", "No Score"),
Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient", NA))
SGPstateData[["AL"]][["Growth"]][["Levels"]] <- c("C1", "C2", "C3", "C4")
SGPstateData[["AL"]][["Growth"]][["System_Type"]] <- "Cohort Referenced"
SGPstateData[["AL"]][["Growth"]][["Cutscores"]] <-
list(
Cuts=c(21, 41, 61),
Labels=c("1st - 20th", "21st - 40th", "41st - 60th", "61st-99th"))
SGPstateData[["AL"]][["Assessment_Program_Information"]][["CSEM"]] <- "AL_CSEM"
SGPstateData[["AL"]][["Student_Report_Information"]] <- list(
Vertical_Scale=list(MATHEMATICS=FALSE, ELA=FALSE),
Content_Areas_Labels=list(MATHEMATICS="Mathematics", ELA="ELA"),
Grades_Reported=list(MATHEMATICS=c("2","3","4","5","6","7","8"), ELA=c("2","3","4","5","6","7","8")),
Achievement_Level_Labels=list(
"L1"="L1",
"L2"="L2",
"L3"="L3",
"L4"="L4"))
SGPstateData[["AL"]][["SGP_Configuration"]][["grade.projection.sequence"]] <- list(
ELA=c("2", "3", "4", "5", "6", "7", "8"),
MATHEMATICS=c("2", "3", "4", "5", "6", "7", "8"))
SGPstateData[["AL"]][["SGP_Configuration"]][["content_area.projection.sequence"]] <- list(
ELA=c("ELA", "ELA", "ELA", "ELA", "ELA", "ELA", "ELA"),
MATHEMATICS=c("MATHEMATICS", "MATHEMATICS", "MATHEMATICS", "MATHEMATICS", "MATHEMATICS", "MATHEMATICS", "MATHEMATICS"))
SGPstateData[["AL"]][["SGP_Configuration"]][["year_lags.projection.sequence"]] <- list(
ELA=rep(1L, 6),
MATHEMATICS=rep(1L, 6))
SGPstateData[["AL"]][["SGP_Configuration"]][["max.forward.projection.sequence"]] <- list(
ELA=2,
MATHEMATICS=2)
SGPstateData[["AL"]][["SGP_Configuration"]][["sgPlot.show.content_area.progression"]] <- FALSE
SGPstateData[["AL"]][["SGP_Configuration"]][['sgp.loss.hoss.adjustment']] <- "AL"
SGPstateData[["AL"]][["SGP_Norm_Group_Preference"]] <- NULL
#SGPstateData[["AL"]][["Variable_Name_Lookup"]][["names.provided"]] <- SGPstateData[["AL"]][["Variable_Name_Lookup"]][["names.sgp"]]
#setnames(SGPstateData[["AL"]][["Variable_Name_Lookup"]], c("names.sgp.type","names.sgp.info","names.sgp.output"), c("names.type","names.info","names.output"))
#SGPstateData[["AL"]][["Variable_Name_Lookup"]] <- SGPstateData[["AL"]][["Variable_Name_Lookup"]][-(c(9:14, 18:19, 21)),]
#########################################################
### ARCHDIOCESE OF BALTIMORE
#########################################################
load("Knots_Boundaries/AOB_Knots_Boundaries.Rdata")
SGPstateData[["AOB"]][["Achievement"]][["Knots_Boundaries"]] <- AOB_Knots_Boundaries
SGPstateData[["AOB"]][["Achievement"]][["Cutscores"]] <-
list(
LANGUAGE=list(
GRADE_3=c(588, 617, 645),
GRADE_4=c(592, 621, 649),
GRADE_5=c(611, 637, 663),
GRADE_6=c(625, 653, 679),
GRADE_7=c(628, 659, 690),
GRADE_8=c(637, 667, 698)),
MATHEMATICS=list(
GRADE_3=c(579, 606, 636),
GRADE_4=c(591, 618, 648),
GRADE_5=c(616, 639, 664),
GRADE_6=c(632, 655, 682),
GRADE_7=c(640, 663, 692),
GRADE_8=c(653, 675, 703)),
READING=list(
GRADE_3=c(594, 621, 648),
GRADE_4=c(602, 630, 659),
GRADE_5=c(619, 644, 670),
GRADE_6=c(636, 661, 687),
GRADE_7=c(641, 669, 697),
GRADE_8=c(653, 680, 704)),
SCIENCE=list(
GRADE_3=c(597, 620, 644),
GRADE_4=c(599, 625, 650),
GRADE_5=c(614, 636, 658),
GRADE_6=c(630, 650, 670),
GRADE_7=c(634, 658, 681),
GRADE_8=c(647, 666, 688)))
SGPstateData[["AOB"]][["Achievement"]][["Levels"]] <-
list(
Labels=c("1st Quartile", "2nd Quartile", "3rd Quartile", "4th Quartile"),
Proficient=c("Not Proficient", "Not Proficient", "Not Proficient", "Proficient"))
SGPstateData[["AOB"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["AOB"]][["Growth"]][["System_Type"]] <- "Cohort Referenced"
SGPstateData[["AOB"]][["Growth"]][["Cutscores"]] <-
list(
Cuts=c(35, 66),
Labels=c("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["AOB"]][["Assessment_Program_Information"]] <-
list(
Assessment_Name="Stanford Achievement Test 10",
Assessment_Abbreviation="SAT 10",
Organization=list(
Name="Archdiocese of Baltimore",
Abbreviation="AOB",
URL="www.archbalt.org/schools",
Contact="1-410-547-5515"),
Content_Areas=c("Language", "Mathematics", "Reading", "Science"),
Grades_Tested=c(3,4,5,6,7,8),
Assessment_Years=c("2007", "2008", "2009", "2010", "2011", "2012", "2013"),
Test_Season="Spring",
Test_Vendor="Pearson/SAT10")
SGPstateData[["AOB"]][["Student_Report_Information"]] <-
list(
Content_Areas_Labels=list(LANGUAGE="Language", MATHEMATICS="Math", READING="Reading", SCIENCE="Science"),
Grades_Reported=list(LANGUAGE=c(3,4,5,6,7,8), MATHEMATICS=c(3,4,5,6,7,8), READING=c(3,4,5,6,7,8), SCIENCE=c(3,4,5,6,7,8)),
Achievement_Level_Labels=list(
"1st Quartile"="1st Quartile",
"2nd Quartile"="2nd Quartile",
"3rd Quartile"="3rd Quartile",
"4th Quartile"="4th Quartile"))
SGPstateData[["AOB"]][["Variable_Name_Lookup"]] <- read.csv("Variable_Name_Lookup/AOB_Variable_Name_Lookup.csv", colClasses=c(rep("character",4), "logical"))
#########################################################
### ARKANSAS
#########################################################
load("CSEM/Arkansas/Arkansas_CSEM.Rdata")
load("Knots_Boundaries/AR_Knots_Boundaries.Rdata")
SGPstateData[["AR"]][["Achievement"]][["Knots_Boundaries"]] <- AR_Knots_Boundaries
SGPstateData[["AR"]][["Achievement"]][["Cutscores"]] <-
list(
MATHEMATICS=list(
GRADE_3=c(409,500,586),
GRADE_4=c(495,559,640),
GRADE_5=c(544,604,697),
GRADE_6=c(569,641,722),
GRADE_7=c(622,673,764),
GRADE_8=c(655,700,802)),
LITERACY=list(
GRADE_3=c(330,500,654),
GRADE_4=c(354,559,748),
GRADE_5=c(382,604,799),
GRADE_6=c(417,641,823),
GRADE_7=c(426,673,867),
GRADE_8=c(507,700,914)),
EOC_MATHEMATICS_1=list(
GRADE_7=c(151,200,250),
GRADE_8=c(151,200,250),
GRADE_9=c(151,200,250)),
EOC_MATHEMATICS_2=list(
GRADE_8=c(154,200,250),
GRADE_9=c(154,200,250),
GRADE_10=c(154,200,250)))
SGPstateData[["AR"]][["Achievement"]][["Levels"]] <-
list(
Labels=c("Below Basic", "Basic", "Proficient", "Advanced"),
Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient"))
SGPstateData[["AR"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["AR"]][["Growth"]][["Cutscores"]] <-
list(
Cuts=c(35, 66),
Labels=c("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["AR"]][["Growth"]][["System_Type"]] <- "Cohort Referenced"
SGPstateData[["AR"]][["Assessment_Program_Information"]] <-
list(
Assessment_Name="Arkansas Comprehensive Testing, Assessment, and Accountability Program",
Assessment_Abbreviation="ACTAAP",
Organization=list(
Name="State of Arkansas",
Abbreviation="AR",
URL="http://www.arkansased.org/",
Contact="501-682-4475"),
Content_Areas=c("Mathematics", "Literacy"),
Grades_Tested=c(3,4,5,6,7,8),
Test_Season="Spring",
Test_Vendor="Riverside Publishing",
CSEM=Arkansas_CSEM)
SGPstateData[["AR"]][["Student_Report_Information"]] <-
list(
Transformed_Achievement_Level_Cutscores=list(
LITERACY=c(as.character(2009:2016)),
MATHEMATICS=c(as.character(2009:2016)),
EOC_MATHEMATICS_1=c(as.character(2009:2016)),
EOC_MATHEMATICS_2=c(as.character(2009:2016))),
Transformed_Achievement_Level_Cutscores_gaPlot=list(
LITERACY=c(as.character(2009:2016)),
MATHEMATICS=c(as.character(2009:2016)),
EOC_MATHEMATICS_1=c(as.character(2009:2016)),
EOC_MATHEMATICS_2=c(as.character(2009:2016))),
Vertical_Scale=list(LITERACY=FALSE, MATHEMATICS=FALSE, EOC_MATHEMATICS_1=FALSE, EOC_MATHEMATICS_2=FALSE),
Content_Areas_Labels =list(LITERACY = "Literacy", MATHEMATICS = "Math", EOC_MATHEMATICS_1 = "EOC Math 1", EOC_MATHEMATICS_2 = "EOC Math 2"),
Content_Areas_Domains=list( ## Each Domain should be in CANONICAL PROGRESSION ORDER
LITERACY = "LITERACY", MATHEMATICS = "MATHEMATICS", EOC_MATHEMATICS_1="MATHEMATICS", EOC_MATHEMATICS_2="MATHEMATICS"),
Grades_Reported=list(LITERACY=c(1,2,3,4,5,6,7,8,10), MATHEMATICS=c(1,2,3,4,5,6,7,8), EOC_MATHEMATICS_1=c(7,8,9,10), EOC_MATHEMATICS_2=c(8,9,10)),
Achievement_Level_Labels=list(
"Below Basic"="Below Basic",
"Basic"="Basic",
"Proficient"="Proficient",
"Advanced"="Advanced"))
#SGPstateData[["AR"]][["Variable_Name_Lookup"]] <- read.csv("Variable_Name_Lookup/AR_Variable_Name_Lookup.csv", colClasses=c(rep("character",4), "logical"))
#load("Baseline_Coefficient_Matrices/AR/AR_Baseline_Matrices.Rdata")
#SGPstateData[["AR"]][["Baseline_splineMatrix"]][["Coefficient_Matrices"]] <- AR_Baseline_Matrices
#########################################################
### ARIZONA
#########################################################
load("Knots_Boundaries/AZ_Knots_Boundaries.Rdata")
SGPstateData[["AZ"]][["Achievement"]][["Knots_Boundaries"]] <- AZ_Knots_Boundaries
SGPstateData[["AZ"]][["Achievement"]][["Cutscores"]] <-
list(
MATHEMATICS.2015=list(
GRADE_3=c(3495, 3531, 3573),
GRADE_4=c(3530, 3562, 3606),
GRADE_5=c(3563, 3595, 3635),
GRADE_6=c(3602, 3629, 3663),
GRADE_7=c(3629, 3652, 3680),
GRADE_8=c(3650, 3673, 3705)),
MATHEMATICS.2022=list(
GRADE_3=c(3495, 3531, 3573),
GRADE_4=c(3530, 3562, 3606),
GRADE_5=c(3563, 3595, 3635),
GRADE_6=c(3602, 3629, 3663),
GRADE_7=c(3629, 3652, 3680),
GRADE_8=c(3650, 3673, 3705),
GRADE_9=c(422, 428, 434),
GRADE_11=c(16, 19, 25)),
MATHEMATICS.2010=list(
GRADE_3=c(303, 347, 406),
GRADE_4=c(331, 366, 416),
GRADE_5=c(348, 381, 436),
GRADE_6=c(366, 398, 446),
GRADE_7=c(382, 411, 460),
GRADE_8=c(409, 426, 475),
GRADE_9=c(471, 487, 537),
GRADE_10=c(471, 487, 537)),
ALGEBRA_I.2015=list(
GRADE_EOCT=c(3661, 3681, 3720)),
GEOMETRY.2015=list(
GRADE_EOCT=c(3673, 3697, 3743)),
ALGEBRA_II.2015=list(
GRADE_EOCT=c(3690, 3711, 3751)),
ELA.2015=list(
GRADE_3=c(2497, 2509, 2541),
GRADE_4=c(2510, 2523, 2559),
GRADE_5=c(2520, 2543, 2578),
GRADE_6=c(2532, 2553, 2597),
GRADE_7=c(2543, 2561, 2600),
GRADE_8=c(2551, 2572, 2604),
GRADE_9=c(2555, 2577, 2606),
GRADE_10=c(2567, 2581, 2606),
GRADE_11=c(2569, 2585, 2608)),
ELA.2022=list(
GRADE_3=c(2497, 2509, 2541),
GRADE_4=c(2510, 2523, 2559),
GRADE_5=c(2520, 2543, 2578),
GRADE_6=c(2532, 2553, 2597),
GRADE_7=c(2543, 2561, 2600),
GRADE_8=c(2551, 2572, 2604),
GRADE_9=c(419, 426, 433),
GRADE_11=c(15, 19, 25)),
READING.2012=list(
GRADE_3=c(379, 431, 516),
GRADE_4=c(402, 450, 536),
GRADE_5=c(424, 468, 556),
GRADE_6=c(433, 478, 571),
GRADE_7=c(443, 489, 587),
GRADE_8=c(452, 499, 602),
GRADE_9=c(627, 674, 773),
GRADE_10=c(627, 674, 773)))
SGPstateData[["AZ"]][["Achievement"]][["Levels"]] <-
list(
Labels=c("Minimally Proficient", "Partially Proficient", "Proficient", "Highly Proficient"),
# Labels=c("Falls Far Below", "Approaches", "Meets", "Exceeds"),
Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient"))
# Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient"))
SGPstateData[["AZ"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["AZ"]][["Growth"]][["System_Type"]] <- "Cohort and Baseline Referenced"
SGPstateData[["AZ"]][["Growth"]][["Cutscores"]] <-
list(
Cuts=c(35, 66),
Labels=c("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["AZ"]][["Assessment_Program_Information"]] <-
list(
Assessment_Name="Arizona Statewide Achievement Assessment for English Language Arts and Mathematics", ### 2015-
# Assessment_Name="Arizona's Instrument to Measure Standards", ### 2006-2014
Assessment_Abbreviation="AzMERIT",
# Assessment_Abbreviation="AIMS",
Organization=list(
Name="Arizona Department of Education",
Abbreviation="ADE",
URL="www.azed.gov",
Contact="1-800-352-4558"),
Content_Areas=c("Mathematics", "Reading", "ELA", "Algebra I", "Geometry", "Algebra II"),
# Grades_Tested=c(3,4,5,6,7,8,9,10,11),
Assessment_Years=c("2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "2015", "2016", "2017", "2018", "2019", "2021", "2022", "2023"),
# Scale_Change=list(ELA="2015", MATHEMATICS="2015", ALGEBRA_I="2015", GEOMETRY="2015", ALGEBRA_II="2015"),
Test_Season="Spring",
Test_Vendor="AIR")
# Test_Vendor="CTB/McGraw Hill")
#SGPstateData[["AZ"]][["Assessment_Program_Information"]][["Assessment_Transition"]] <-
# list(
# Assessment_Abbreviation="AIMS",
# Assessment_Abbreviation.2015="AzMERIT",
# Assessment_Name="Arizona's Instrument to Measure Standards",
# Assessment_Name.2015="Arizona Statewide Achievement Assessment for English Language Arts and Mathematics",
# Achievement_Levels=list(
# Labels=c("Falls Far Below", "Approaches", "Meets", "Exceeds"),
# Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient")),
# Achievement_Levels.2015=list(
# Labels=c("Minimally Proficient", "Partially Proficient", "Proficient", "Highly Proficient"),
# Proficient=c("Not Proficient", "Not Proficient", "Proficient", "Proficient")),
# Achievement_Level_Labels=list(
# "Far Below"="Falls Far Below",
# "Approaches"="Approaches",
# "Meets"="Meets",
# "Exceeds"="Exceeds"),
# Achievement_Level_Labels.2015=list(
# "Min Proficient"="Minimally Proficient",
# "Part Proficient"="Partially Proficient",
# "Proficient"="Proficient",
# "Highly Proficient"="Highly Proficient"),
# Content_Areas_Labels=list(MATHEMATICS="Math", READING="Reading"),
# Content_Areas_Labels.2015=list(MATHEMATICS="Math", ELA="ELA", ALGEBRA_I="Algebra I", ALGEBRA_II="Algebra II"),
# Vertical_Scale="No",
# Vertical_Scale.2015="Yes",
# Grades_Tested=c(2,3,4,5,6,7,8,9,10),
# Grades_Tested.2015=c(3,4,5,6,7,8,9,10,11,12),
# Year="2015"
# )
SGPstateData[["AZ"]][["Student_Report_Information"]] <-
list(
Transformed_Achievement_Level_Cutscores=list(
MATHEMATICS=as.character(2009:2014),
READING=as.character(2009:2014)),
Transformed_Achievement_Level_Cutscores_gaPlot=list(
MATHEMATICS=as.character(2009:2014),
READING=as.character(2009:2014)),
# Vertical_Scale=list(MATHEMATICS=TRUE, ELA=TRUE, ALGEBRA_I=TRUE, GEOMETRY=TRUE, ALGEBRA_II=TRUE),
Vertical_Scale=list(MATHEMATICS=TRUE, ELA=TRUE),
# Content_Areas_Labels=list(MATHEMATICS="Math", ELA="ELA", GEOMETRY="Geometry", ALGEBRA_I="Algebra I", ALGEBRA_II="Algebra II", READING="Reading"),
Content_Areas_Labels=list(MATHEMATICS="Math", ELA="ELA"),
# Content_Areas_Domains=list(MATHEMATICS="MATHEMATICS", ELA="ELA", GEOMETRY="MATHEMATICS", ALGEBRA_I="MATHEMATICS", ALGEBRA_II="MATHEMATICS"),
Content_Areas_Domains=list(MATHEMATICS="MATHEMATICS", ELA="ELA"),
# Grades_Reported=list(MATHEMATICS=c(3,4,5,6,7,8), ELA=c(3,4,5,6,7,8,9,10,11), ALGEBRA_I="EOCT", GEOMETRY="EOCT", ALGEBRA_II="EOCT"),
Grades_Reported=list(MATHEMATICS=c(3,4,5,6,7,8,9,11), ELA=c(3,4,5,6,7,8,9,11)),
# Grades_Reported_Domains=list(MATHEMATICS=c("3","4","5","6","7","8","EOCT"), ELA=c("3","4","5","6","7","8","9","10","11")),
Grades_Reported_Domains=list(MATHEMATICS=c("3","4","5","6","7","8","9","11"), ELA=c("3","4","5","6","7","8","9","11")),
# Earliest_Year_Reported=list(ELA='2015', MATHEMATICS='2015', ALGEBRA_I="2015", GEOMETRY="2015", ALGEBRA_II="2015"),
Earliest_Year_Reported=list(ELA='2015', MATHEMATICS='2015'),
Achievement_Level_Labels=list(
"Min Proficient"="Minimally Proficient",
"Part Proficient"="Partially Proficient",
"Proficient"="Proficient",
"Highly Proficient"="Highly Proficient"))
# "Falls Far Below"="Falls Far Below",
# "Approaches"="Approaches",
# "Meets"="Meets",
# "Exceeds"="Exceeds"))
SGPstateData[["AZ"]][['SGP_Configuration']] <- list(
sgp.minimum.default.panel.years=2,
print.other.gp=TRUE,
sgp.cohort.size=2000,
return.norm.group.scale.scores=TRUE,
return.norm.group.dates=TRUE,
return.projection.group.scale.scores=TRUE,
return.projection.group.dates=TRUE,
sgp.less.than.sgp.cohort.size.return="< 2000 Student in Norm Group",
sgp.target.scale.scores.merge="1_year_lagged_current")
SGPstateData[["AZ"]][["SGP_Configuration"]][["grade.projection.sequence"]] <- list(
# ELA=c("3", "4", "5", "6", "7", "8", "9", "10", "11"),
ELA=c("3", "4", "5", "6", "7", "8", "9", "11"),
MATHEMATICS=c("3", "4", "5", "6", "7", "8", "9", "11"))
# GEOMETRY=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
# ALGEBRA_I=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
# ALGEBRA_I_FROM_7=c("3", "4", "5", "6", "7", "EOCT", "EOCT", "EOCT"),
# ALGEBRA_II=c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"))
SGPstateData[["AZ"]][["SGP_Configuration"]][["content_area.projection.sequence"]] <- list(
ELA=rep("ELA", 8),
MATHEMATICS=rep("MATHEMATICS", 8))
# MATHEMATICS=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
# GEOMETRY=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
# ALGEBRA_I=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
# ALGEBRA_I_FROM_7=c(rep("MATHEMATICS", 5), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
# ALGEBRA_II=c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"))
SGPstateData[["AZ"]][["SGP_Configuration"]][["year_lags.projection.sequence"]] <- list(
ELA=c(rep(1L, 6), 2),
MATHEMATICS=c(rep(1L, 6), 2))
# GEOMETRY=rep(1L, 8),
# ALGEBRA_I=rep(1L, 8),
# ALGEBRA_I_FROM_7=rep(1L, 7),
# ALGEBRA_II=rep(1L, 8))
SGPstateData[["AZ"]][["SGP_Configuration"]][["max.forward.projection.sequence"]] <- list(
ELA=3,
MATHEMATICS=3)
# GEOMETRY=3,
# ALGEBRA_I=3,
# ALGEBRA_I_FROM_7=3,
# ALGEBRA_II=3)
#SGPstateData[["AZ"]][['SGP_Progression_Preference']] <- data.table(
# SGP_PROJECTION_GROUP = c("MATHEMATICS", "ALGEBRA_I_FROM_7"),
# PREFERENCE = c(1, 2), key = "SGP_PROJECTION_GROUP")
#load("SGP_Norm_Group_Preference/AZ_SGP_Norm_Group_Preference.Rdata")
#SGPstateData[["AZ"]][["SGP_Norm_Group_Preference"]] <- AZ_SGP_Norm_Group_Preference
#SGPstateData[["AZ"]][["Variable_Name_Lookup"]] <- read.csv("Variable_Name_Lookup/AZ_Variable_Name_Lookup.csv", colClasses=c(rep("character",4), "logical"))
#########################################################
### ATI
#########################################################
load("Knots_Boundaries/ATI_Knots_Boundaries.Rdata")
SGPstateData[["ATI"]][["Achievement"]][["Knots_Boundaries"]] <- ATI_Knots_Boundaries
SGPstateData[["ATI"]][["Growth"]][["Levels"]] <- c("Low", "Typical", "High")
SGPstateData[["ATI"]][["Growth"]][["Cutscores"]] <-
list(
Cuts=c(35, 66),
Labels=c("1st - 34th", "35th - 65th", "66th - 99th"))
SGPstateData[["ATI"]][["Growth"]][["System_Type"]] <- "Cohort Referenced"
#########################################################
### BUREAU of INDIAN AFFAIRS
#########################################################
load("Knots_Boundaries/PARCC_BIA_Knots_Boundaries.Rdata")
SGPstateData[["BI"]] <- SGPstateData[['PARCC']]
SGPstateData[["BI"]][["Achievement"]][["Knots_Boundaries"]] <- PARCC_BIA_Knots_Boundaries
SGPstateData[["BI"]][["Assessment_Program_Information"]] <-
list(
Assessment_Name = "Partnership for Assessment of Readiness for College and Careers",
Assessment_Abbreviation = "PARCC",
Organization = list(
Name = "Bureau of Indian Affairs",
Abbreviation = "BI",
URL = "www.indianaffairs.gov",
Contact = "202-208-3710"),
Content_Areas = c("English Language Arts", "Mathematics", "Geometry", "Algebra I", "Algebra II", "Integrated Math 1", "Integrated Math 2", "Integrated Math 3"),
Grades_Tested = c(3, 4, 5, 6, 7, 8, 11, "EOCT"),
Assessment_Years = c("2014_2015.1", "2014_2015.2", "2015_2016.1", "2015_2016.2", "2016_2017.1", "2016_2017.2", "2017_2018.1", "2017_2018.2", "2018_2019.1", "2018_2019.2",
"2020_2021.2", "2021_2022.2"),
Test_Season = "Fall & Spring",
Test_Vendor = "Pearson",
CSEM = "SCALE_SCORE_CSEM")
SGPstateData[["BI"]][["SGP_Configuration"]][["grade.projection.sequence"]] <-
list(
ELA = c("3", "4", "5", "6", "7", "8"),
MATHEMATICS = c("3", "4", "5", "6", "7", "8")
# MATHEMATICS = c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT"),
# ALGEBRA_I = c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT"),
# GEOMETRY = c("3", "4", "5", "6", "7", "8", "EOCT", "EOCT", "EOCT")
)
SGPstateData[["BI"]][["SGP_Configuration"]][["content_area.projection.sequence"]] <-
list(
ELA = rep("ELA", 6),
MATHEMATICS = c(rep("MATHEMATICS", 6))
# MATHEMATICS = c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
# ALGEBRA_I = c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II"),
# GEOMETRY = c(rep("MATHEMATICS", 6), "ALGEBRA_I", "GEOMETRY", "ALGEBRA_II")
)
SGPstateData[["BI"]][["SGP_Configuration"]][["year_lags.projection.sequence"]] <-
list(
ELA = rep(1L, 5),
MATHEMATICS = rep(1L, 5)
# ALGEBRA_I = rep(1L, 8),
# GEOMETRY = rep(1L, 8)
)
#########################################################
### CALIFORNIA
#########################################################
SGPstateData[["CA"]][["Achievement"]][["Knots_Boundaries"]] <-
list(
ELA=list(
knots_2=c(293, 333, 366, 403),
knots_3=c(277, 314, 344, 381),
knots_4=c(304, 341, 371, 405),
knots_5=c(296, 330, 360, 393),
knots_6=c(286, 319, 349, 383),
knots_7=c(280, 319, 350, 386),
knots_8=c(276, 310, 344, 383),
knots_9=c(276, 310, 341, 378),
knots_10=c(275, 312, 341, 375),
knots_11=c(267, 308, 341, 376),
boundaries_2=c(109.4, 644.6),
boundaries_3=c(106.1, 644.9),
boundaries_4=c(105, 645),
boundaries_5=c(105, 645),
boundaries_6=c(105, 645),
boundaries_7=c(105, 645),
boundaries_8=c(105, 645),
boundaries_9=c(105, 645),
boundaries_10=c(105, 645),
boundaries_11=c(105, 645),
loss.hoss_2=c(154, 600),
loss.hoss_3=c(151, 600),
loss.hoss_4=c(150, 600),
loss.hoss_5=c(150, 600),
loss.hoss_6=c(150, 600),
loss.hoss_7=c(150, 600),
loss.hoss_8=c(150, 600),
loss.hoss_9=c(150, 600),
loss.hoss_10=c(150, 600),
loss.hoss_11=c(150, 600),
## Year (2009 - 2011) originally used as Temporary Grade for HS Grade progressions.
## Here 8th grade ELA (ONLY - on lower MS/ upper HS grades) used as a prior in some places
## Year doesn't work if used as a simple BASELINE as Aspire intends to do.
## Need something more general, so 101 - 103 used instead (although only 2 priors will be max - 101 & 102)
## A.V.I. Changed to 'EOCT' Convention 1/14/13
knots_EOCT=c(276, 310, 344, 383),
boundaries_EOCT=c(105, 645),
loss.hoss_EOCT=c(150, 600)),
MATHEMATICS=list(
knots_2=c(294, 344, 389, 439),
knots_3=c(305, 355, 402, 460),
knots_4=c(309, 355, 397, 446),
knots_5=c(290, 340, 390, 450),
knots_6=c(273, 310, 347, 396),
knots_7=c(274, 304, 338, 379),
boundaries_2=c(105, 645),
boundaries_3=c(105, 645),
boundaries_4=c(105, 645),
boundaries_5=c(105, 645),
boundaries_6=c(105, 645),
boundaries_7=c(105, 645),
loss.hoss_2=c(150, 600),
loss.hoss_3=c(150, 600),
loss.hoss_4=c(150, 600),
loss.hoss_5=c(150, 600),
loss.hoss_6=c(150, 600),
loss.hoss_7=c(150, 600),
knots_EOCT=c(274, 304, 338, 379),
boundaries_EOCT=c(105, 645),
loss.hoss_EOCT=c(150, 600)),
SCIENCE=list(
knots_5=c(291, 327, 360, 400),
knots_8=c(256, 313, 363, 424),
boundaries_5=c(105, 645),
boundaries_8=c(105, 645),
loss.hoss_5=c(150, 600),
loss.hoss_8=c(150, 600),
knots_EOCT=c(256, 313, 363, 424),
boundaries_EOCT=c(105, 645),
loss.hoss_EOCT=c(150, 600)),
HISTORY=list(
knots_8=c(269, 305, 341, 382),
boundaries_8=c(105, 645),
loss.hoss_8=c(150, 600),
knots_EOCT=c(269, 305, 341, 382),
boundaries_EOCT=c(105, 645),
loss.hoss_EOCT=c(150, 600)),
WORLD_HISTORY=list(