intsvy (version 2.9)

timss.rho.pv: 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())

Value

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

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.

See Also

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

Examples

if (FALSE) {
timss.rho.pv(variable="BSDGEDUP", pvlabel=paste0("BSMMAT0", 1:5), by="IDCNTRYL", data=timss)
}