timss.rho.pv: Two-way weighted correlation with plausible values

In intsvy: International Assessment Data Manager

Two-way weighted correlation with plausible values

Description

timss.rho.pv calculates the correlation and standard error among two achievement variables each based on 5 plausible values or one achievement variable and an observed variable (i.e., with observed scores rather than plausible values).

Usage

timss.rho.pv(variable, pvlabel, by,  
data, export = FALSE, name = "output", folder = getwd())

Arguments

variable	A data label for the observed variable
pvlabel	The names of columns corresponding to the achievement plausible scores.
by	The label for the grouping variable, usually the countries (i.e., by="IDCNTRYL"), but could be any other categorical variable.
data	An R object, normally a data frame, containing the data from TIMSS.
export	A logical value. If TRUE, the output is exported to a file in comma-separated value format (.csv) that can be opened from LibreOffice or Excel.
name	The name of the exported file.
folder	The folder where the exported file is located.

Value

timss.rho.pv returns a matrix with correlations and standard errors.

See Also

pirls.rho.pv, pirls.rho, timss.rho

Examples

## Not run: 
timss.rho.pv(variable="BSDGEDUP", pvlabel=paste0("BSMMAT0", 1:5), by="IDCNTRYL", data=timss)

## End(Not run)

intsvy documentation built on May 29, 2024, 7:10 a.m.