computeHoMetric2: Compute Ho Metric 2 "Fair Trend"

View source: R/computeHoMetric2.R

computeHoMetric2R Documentation

Compute Ho Metric 2 "Fair Trend"

Description

This function creates individual level predictied scale scores for use in comparisions between 2019 and 2021.

Usage

computeHoMetric2(
  covid.data
)

Arguments

covid.data

This function takes long data following the SGP data structure. Defaults to sgpData_LONG_COVID.

Details

This function creates individual level predictied scale scores for use in comparisions between 2019 and 2021.

Value

Function returns a dataframe with CONTENT_AREA, ID, YEAR, GRADE, and SCALE_SCORE_predict. This last column, SCALE_SCORE_predict is the individual student scores to be used in aggregations to produce Ho's Fair Trend Statistics (i.e., "adjusted" 2019 scores).

Author(s)

Nathan Dadey ndadey@nciea.org

Examples

### https://centerforassessment.github.io/cfaTools/articles/fair_trend.html
	## Not run: 
		computeHoMetric2(covid.data = SGPdata::sgpData_LONG_COVID[YEAR <= 2021])
	
## End(Not run)

CenterForAssessment/cfaTools documentation built on June 2, 2022, 9:23 a.m.