courseProgressionSGP: Identify potential course progressions for SGP analyses

In SGP: Student Growth Percentiles & Percentile Growth Trajectories

Identify potential course progressions for SGP analyses

Description

Utility function used to analyze supplied long data or an existing SGP class object to identify potential course progressions suitable for analysis with analyzeSGP, studentGrowthPercentiles, etc. See examples for more information.

Usage

courseProgressionSGP(
	sgp_object,
	lag.direction=c("FORWARD", "BACKWARD"),
	year)

Arguments

sgp_object	Either a panel data set in long form or an object of class SGP. See embedded sgpData_LONG data set for an exemplar.
lag.direction	Character string indicating whether the progressions should be produced prospectively or retrospectively.
year	Character indicating the value of YEAR that is the focus of analysis.

Value

Function returns a nested list class object. The final node of each nested list is a data.table which summarizes the number of students with a particular GRADE by CONTENT_AREA by YEAR course progression

Author(s)

Adam Van Iwaarden [e-mail] and Damian W. Betebenner [e-mail]

See Also

sgpData_LONG

Examples

## Not run: 
## Run courseProgressionSGP on the subset of the long data that contains
## ONLY mathematics related records (would realistically also contain EOCT math courses)
Math_Data <- subset(SGPdata::sgpData_LONG, CONTENT_AREA == "MATHEMATICS")
Math_Progressions <- courseProgressionSGP(Math_Data, lag.direction= "BACKWARD", year="2015_2016")

##  Examine results for Adcademic Year 2015-2016, 5th grade Mathematics.
Math_Progressions[['BACKWARD']][['2015_2016']][['MATHEMATICS.05']]
Math_Progressions[['BACKWARD']][['2015_2016']][['MATHEMATICS.05']][COUNT>100]

## End(Not run)

SGP documentation built on Oct. 7, 2024, 1:10 a.m.