pisa.reg.pv: Regression analysis with plausible values

In dickli/intsvy2: International Assessment Data Manager 2

Description

pisa.reg.pv performs linear regression analysis (OLS) with plausible values and replicate weights. Use the pisa2015.reg.pv() for data from PISA 2015 study.

Usage

pisa.reg.pv(x, pvlabel = "READ", by, data, 
export = FALSE, name = "output", folder = getwd(), std=FALSE)
pisa2015.reg.pv(x, pvlabel = "READ", by, data, 
export = FALSE, name = "output", folder = getwd(), std=FALSE)

Arguments

x	Data labels of independent variables.
pvlabel	The label corresponding to the achievement variable, for example, "READ", 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 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.

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".

See Also

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

Examples

## Not run: 
# Table I.2.3a, p. 305, International Report 2012
pisa.reg.pv(pvlabel="MATH", x="ST04Q01", by = "IDCNTRYL", data=pisa)

## End(Not run)

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