bootstrapSRS_SGP | R Documentation |
Function for calculating bootstrap summary statistics using data and pre-designated strata proportions with SGP objects.
bootstrapSRS_SGP(
sgp_object,
strata_summaries=c("STATUS", "GROWTH"),
strata_variables="SCALE_SCORE_DECILE",
strata_proportions_years_status,
strata_proportions_years_growth,
summary_years,
create_scale_score_deciles=TRUE,
sample_size=NULL,
bootstrap_iterations=100,
summary_statistic="mean",
aggregation_group=c("CONTENT_AREA", "GRADE"))
sgp_object |
|
strata_summaries |
Character string indicating |
strata_variables |
|
strata_proportions_years_status |
|
strata_proportions_years_growth |
|
summary_years |
|
create_scale_score_deciles |
|
sample_size |
|
bootstrap_iterations |
|
summary_statistic |
|
aggregation_group |
Function calculates a summary statistic of existing data (e.g., mean) by re-sampling based upon designated strata proportions
Function returns either a list (default) containing the summary statistic (e.g., mean) and standard deviation (i.e., standard error) for the bootstrap sample of that statistic or funtion returns a vector containing the bootstrap replication values.
Damian W. Betebenner dbetebenner@nciea.org
### bootstrapSRS_SGP needs an object of class SGP run.
### See the Step 6 comparisons in the Demonstration Learning Loss Analytics for examples
### https://github.com/CenterForAssessment/SGP_Research/tree/master/Demonstration/
### Learning_Loss_Analysis/Step_6_Summary_Comparisons
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