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WIDA_GA_SGP_FORMATTED_OUTPUT_2024.R
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WIDA_GA_SGP_FORMATTED_OUTPUT_2024.R
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###############################################################################
### ###
### Formatted text output for WIDA_GA from 2024 long data ###
### ###
###############################################################################
require(data.table)
require(SGP)
### Load 2024 Data
load("Data/WIDA_GA_SGP.Rdata")
load("Data/WIDA_GA_SGP_LONG_Data_2024.Rdata")
assign("WIDA_GA_2024", WIDA_GA_SGP_LONG_Data_2024)
### Check SGP_LEVEL
WIDA_GA_2024[!is.na(SGP),
.(MIN = min(SGP), MAX = max(SGP)),
keyby = c("GRADE", "SGP_LEVEL")]
WIDA_GA_2024[!is.na(SGP_BASELINE),
.(MIN = min(SGP_BASELINE), MAX = max(SGP_BASELINE)),
keyby = c("GRADE", "SGP_LEVEL_BASELINE")]
### Remove level 4.3 from current and lagged variables
WIDA_GA_2024[
ACHIEVEMENT_LEVEL == "Level 4.3",
ACHIEVEMENT_LEVEL := "Level 4"]
# table(WIDA_GA_2024[, ACHIEVEMENT_LEVEL, ACHIEVEMENT_LEVEL_ORIGINAL])
### Remove "BASELINE" Prior Scale Scores (redundant)
# table(WIDA_GA_2024[,
# SCALE_SCORE_PRIOR == SCALE_SCORE_PRIOR_BASELINE], exclude = NULL)
# table(WIDA_GA_2024[,
# SCALE_SCORE_PRIOR_STANDARDIZED == SCALE_SCORE_PRIOR_STANDARDIZED_BASELINE],
# exclude = NULL)
WIDA_GA_2024[, SCALE_SCORE_PRIOR_BASELINE := NULL]
# ][, SCALE_SCORE_PRIOR_STANDARDIZED_BASELINE := NULL]
### Create requested lagged variables
WIDA_GA_2024[,
SCHOOL_YEAR_PRIOR_1_YEAR := ifelse(is.na(SGP), NA, "2023")
][, SCHOOL_YEAR_PRIOR_2_YEAR := ifelse(SGP_ORDER == 2, "2022", NA)
]
WIDA_GA_2024[,
GRADE := as.integer(GRADE)
][, Grade_PRIOR_1_YEAR := ifelse(!is.na(SGP), as.character(GRADE - 1), NA)
][, Grade_PRIOR_2_YEAR := ifelse(SGP_ORDER == 2, as.character(GRADE - 2), NA)
][, GRADE := as.character(GRADE)
]
### Create `PRIOR*` achievement variables
## First split SGP_NORM_GROUP_SCALE_SCORES
score.split <-
WIDA_GA_2024$SGP_NORM_GROUP_SCALE_SCORES |>
as.character() |> strsplit("; ")
WIDA_GA_2024[,
PRIOR_1_SS := as.numeric(sapply(score.split, \(x) rev(x)[2]))
][, PRIOR_2_SS := as.numeric(sapply(score.split, \(x) rev(x)[3]))
]
## Use function embedded in `SGPstateData` to calculate achievement levels
fullProfLevWIDA <-
SGPstateData[["WIDA"]][["SGP_Configuration"]][["ss_to_pl_function"]][["value"]]
WIDA_GA_2024[,
CompositeOverallProficiencyLevel_PRIOR_1_YEAR :=
fullProfLevWIDA(grade = Grade_PRIOR_1_YEAR, scale_score = PRIOR_1_SS)
][, CompositeOverallProficiencyLevel_PRIOR_2_YEAR :=
fullProfLevWIDA(grade = Grade_PRIOR_2_YEAR, scale_score = PRIOR_2_SS)
]
# WIDA_GA_2024[YEAR == "2024",
# ACHIEVEMENT_LEVEL_PRIOR, CompositeOverallProficiencyLevel_PRIOR_1_YEAR
# ] |> table(exclude = NULL)
WIDA_GA_2024[, c("PRIOR_1_SS", "PRIOR_2_SS") := NULL]
### Add in CURRENT Projections
proj.var.names <-
c("ID", "GRADE", "LEVEL_4_SGP_TARGET_YEAR_1_CURRENT",
"P1_PROJ_YEAR_1_CURRENT", "P35_PROJ_YEAR_1_CURRENT",
"P66_PROJ_YEAR_1_CURRENT", "P99_PROJ_YEAR_1_CURRENT")
my.projection.table.names <- "READING.2024"
tmp.list.current <- list()
for (i in my.projection.table.names) {
tmp.list.current[[i]] <-
data.table(
VALID_CASE = "VALID_CASE",
YEAR = unlist(strsplit(i, "\\."))[2],
WIDA_GA_SGP@SGP$SGProjections[[i]][, proj.var.names, with = FALSE]
)
}
### Merge projection/target data in.
tmp.projections.c <-
data.table::data.table(rbindlist(tmp.list.current), key = c("ID", "GRADE"))
pctl.names <- names(WIDA_GA_2024)
pjct.names <- names(tmp.projections.c)
setkeyv(tmp.projections.c, c("VALID_CASE", "YEAR", "ID", "GRADE"))
setkeyv(WIDA_GA_2024, c("VALID_CASE", "YEAR", "ID", "GRADE"))
WIDA_GA_2024 <- tmp.projections.c[WIDA_GA_2024]
### Final arrangement of variables
setcolorder(WIDA_GA_2024, union(pctl.names, pjct.names))
setkeyv(WIDA_GA_2024, c("VALID_CASE", "YEAR", "GRADE", "ID"))
### Clean up names
wida.ga.names <-
c("VALID_CASE", "CONTENT_AREA", "GTID", "SCHOOL_YEAR", "Grade",
"ScaleScoreOverall", "CSEMOverall", "ProficiencyLevelOverall",
"DistrictNumber", "DistrictName", "SchoolNumber", "SchoolName",
"StudentLastName", "StudentFirstName", "BirthDate", "NativeLanguage",
"Gender", "IEPStatus", "TitleIIIStatus", "LengthofTimeinLEPELLProgram")
setnames(
WIDA_GA_2024,
c("VALID_CASE", "CONTENT_AREA", "ID", "YEAR", "GRADE",
"SCALE_SCORE", "SCALE_SCORE_CSEM", "ACHIEVEMENT_LEVEL_ORIGINAL",
"DISTRICT_NUMBER", "DISTRICT_NAME", "SCHOOL_NUMBER", "SCHOOL_NAME",
"LAST_NAME", "FIRST_NAME", "BIRTH_DATE", "NATIVE_LANGUAGE",
"GENDER", "IEP_STATUS", "TITLE_III_STATUS", "TIME_IN_ELL_PROGRAM"),
wida.ga.names
)
setnames(
WIDA_GA_2024,
"LEVEL_4_SGP_TARGET_YEAR_1_CURRENT",
"MIN_EXIT_CRITERIA_SGP_TARGET_YEAR_1_CURRENT"
)
### Save results
fwrite(
WIDA_GA_2024,
file = "Data/WIDA_GA_SGP_LONG_Data_2024_FORMATTED.txt",
sep = "|"
)
zip(zipfile = "Data/WIDA_GA_SGP_LONG_Data_2024_FORMATTED.txt.zip",
files = "Data/WIDA_GA_SGP_LONG_Data_2024_FORMATTED.txt")
unlink("Data/WIDA_GA_SGP_LONG_Data_2024_FORMATTED.txt")