calc_replicate_weights: Calculate replicate weights and summary statistics

In tmatta/lsasim: Functions to Facilitate the Simulation of Large Scale Assessment Data

Calculate replicate weights and summary statistics

Description

Takes the output of 'cluster_gen' to calculate the replicate weights as well as some summary statistics

Usage

calc_replicate_weights(data, method, k = 0)

Arguments

data	list of background questionnaire data (typically generated by 'cluster_gen')
method	replication method. Can be "Jackknife", "BRR" or "BRR Fay"
k	deflating weight factor (used only when 'method = "BRR Fay")

Details

Replicate weights can be calculated using the Jackknife for unstratified two-stage sample designs or Balanced Repeated Replication (BRR) with or without Fay's modification. According to OECD (2015), PISA uses the Fay method with a factor of 0.5. This is why 'k = .5' by default.

Value

list with data and, if requeted, some statistics

Note

This function is essentially a big wrapper for 'replicate_var', applying that function on each element of an output of 'cluster_gen'.

References

OECD (2015). Pisa Data Analysis Manual. Rust, K. F., & Rao, J. N. K. (1996). Variance estimation for complex surveys using replication techniques. Statistical methods in medical research, 5(3), 283-310.

See Also

cluster_gen jackknife, jackknife_var

Examples

data <- cluster_gen(c(3, 50))
calc_replicate_weights(data, "Jackknife")
calc_replicate_weights(data, "BRR")
calc_replicate_weights(data, "BRR Fay")

tmatta/lsasim documentation built on Aug. 25, 2023, 5:50 p.m.