pirls.reg.pv: Regression analysis with plausible values

In dickli/intsvy2: International Assessment Data Manager 2

Description

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

Usage

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

Arguments

x	Data labels of independent variables (e.g., x = c("ASDHEHLA", "ITSEX") ).
pvlabel	The label corresponding to the achievement variable, for example, "ASRREA", for overall reading performance.
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 PIRLS.
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

pirls.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

timss.reg.pv, pisa.reg.pv

Examples

## Not run: 

# PIRLS: Exhibit 2.11, User Guide PIRLS 2011, p.21
pirls$SEX[pirls$ITSEX=="BOY"]=1
pirls$SEX[pirls$ITSEX=="GIRL"]=0
pirls.reg.pv(pvlabel="ASRREA", by="IDCNTRYL", x="SEX", data=pirls)

## End(Not run)

dickli/intsvy2 documentation built on Sept. 8, 2020, 12:05 a.m.