intsvy (version 2.9)

pisa.reg.pv: Regression analysis with plausible values

Description

pisa.reg.pv performs linear regression analysis (OLS) with plausible values and replicate weights.

Usage

pisa.reg.pv(x, pvlabel, by, data, 
export = FALSE, name = "output", folder = getwd(), std=FALSE)

Value

pisa.reg.pv prints a data.frame with regression results (i.e., coefficients, standard errors, t-values, R-squared) and stores different regression output including residuals, replicate coefficients, variance within and between, and the regression data.frame in a list object of class "intsvy.reg".

Arguments

x

Data labels of independent variables.

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 PISA.

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.

std

A logical value. If TRUE standardised regression coefficients are calculated.

See Also

timss.reg.pv, pirls.reg.pv, piaac.reg.pv

Examples

if (FALSE) {
pisa.reg.pv(pvlabel=paste0("PV",1:10,"MATH"), x="ST04Q01", by = "IDCNTRYL", data=pisa)
}