Compute Ho Metric 2 "Fair Trend"

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

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).

Examples

### https://centerforassessment.github.io/cfaTools/articles/fair_trend.html
        not_run({
                computeHoMetric2(covid.data = SGPdata::sgpData_LONG_COVID[YEAR <= 2021])

})