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

View source: R/intsvy.rho.pv.R

intsvy.rho.pvR Documentation

Two-way weighted correlation with plausible values

Description

intsvy.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

intsvy.rho.pv(variable, pvnames, by, data, export=FALSE, 
name= "output", folder=getwd(), config)

Arguments

variable

A data label for the observed variable

pvnames

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.

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.

config

Object with configuration of a given study. Should contain the slot 'prefixes' with prefixes of filenames with the student, home, school, and teacher data.

Value

intsvy.rho returns a matrix including correlation and standard error values.

See Also

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

Examples

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

## End(Not run)

intsvy documentation built on Aug. 6, 2022, 5:06 p.m.