SGP (version 0.0-6.4)

analyzeSGP: Analyze student data to produce student growth percentiles and student growth projections

Description

Utility function/exemplar used to produce student growth percentiles and student growth projections using long formatted data like that provided by prepareSGP.

Usage

analyzeSGP(sgp_object=sgpData_LONG,
           state="DEMO",
           years,
           content_areas,
           grades,
           sgp.config,
           sgp.percentiles=TRUE,
           sgp.projections=TRUE,
           sgp.projections.lagged=TRUE,
           simulate.sgps=FALSE)

Arguments

sgp_object

A list containing long formatted data in the Student (from prepareSGP) slot.

state

Acronym indicating state associated with the data for access to embedded knot and boundaries and cutscores.

years

A vector indicating years in which to produce student growth percentiles and/or student growth projections/trajectories. If left missing the function will use the data to infer the years based upon the assumption of having at least three years of panel d

content_areas

A vector indicating content areas in which to produce student growth percentiles and/or student growth projections/trajectories. If left missing the function will use the data to infer the content areas available for analyses.

grades

A vector indicating grades for which to calculate student growth percentiles and/or student growth projections/trajectories. If left missing the function will use the data to infer all the grade progressions for student growth percentile and student grow

sgp.config

If years, content_areas, and grades are missing, user can directly specify a list containing three vectors: sgp.content.areas, sgp.panel.years, and sgp.grade.sequences. This ad

sgp.percentiles

Boolean variable indicating whether to calculate student growth percentiles. Defaults to TRUE.

sgp.projections

Boolean variable indicating whether to calculate student growth projections. Defaults to TRUE.

sgp.projections.lagged

Boolean variable indicating whether to calculate lagged student growth projections often used for growth to standard analyses. Defaults to TRUE.

simulate.sgps

Boolean variable indicating whether to simulate SGP values for students based on test-specific Conditional Standard Errors of Measurement (CSEM). Test CSEM data must be available for simulation and included in stat

Value

• Function returns a list containing the long data set in the Student slot as a data.table keyed using VALID_CASE, CONTENT_AREA, YEAR, ID and the student growth percentile and/or student growth projection/trajectory results in the SGP slot.

See Also

prepareSGP, combineSGP

Examples

## analyzeSGP is Step 2 of 5
DEMO_Data <- prepareSGP(sgpData_LONG)
DEMO_Data <- analyzeSGP(DEMO_Data)
DEMO_Data <- combineSGP(DEMO_Data)
DEMO_Data <- summarizeSGP(DEMO_Data)