timss.reg.pv: Regression analysis with plausible values

In intsvy: International Assessment Data Manager

Regression analysis with plausible values

Description

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

Usage

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

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 TIMSS.
std	A logical value. If TRUE standardised regression coefficients are calculated.
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.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".

See Also

pirls.reg.pv, pisa.reg.pv

Examples

## Not run: 
timss8g$SEX[timss8g$ITSEX=="BOY"]=1
timss8g$SEX[timss8g$ITSEX=="GIRL"]=0
timss.reg.pv(pvlabel= paste0("BSMMAT0", 1:5), by=c("IDCNTRYL"), x="SEX", data=timss8g)

## End(Not run)

intsvy documentation built on Oct. 3, 2023, 1:07 a.m.