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

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

Arguments

variable

A data label for the observed variable

pvlabels

One or two labels describing the achievement variables.

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

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## Not run: 
timss.rho.pv(variable="BSDGEDUP", pvlabel="BSMMAT", by="IDCNTRYL", data=timss)

## End(Not run)

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