View source: R/computeHoMetric2.R
computeHoMetric2 | R Documentation |
This function creates individual level predictied scale scores for use in comparisions between 2019 and 2021.
computeHoMetric2(
covid.data
)
covid.data |
This function takes long data following the SGP data structure. Defaults to sgpData_LONG_COVID. |
This function creates individual level predictied scale scores for use in comparisions between 2019 and 2021.
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).
Nathan Dadey ndadey@nciea.org
### https://centerforassessment.github.io/cfaTools/articles/fair_trend.html
## Not run:
computeHoMetric2(covid.data = SGPdata::sgpData_LONG_COVID[YEAR <= 2021])
## End(Not run)
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