SGPstateData/SGPstateData.R at master · adamvi/SGPstateData · GitHub

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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(